Intelligent driving scoring method and device

Abstract

The invention relates to the technical field of data analysis, and discloses an intelligent driving scoring method and device.The method comprises the steps that in the vehicle driving process of a driver, vehicle data of a vehicle are obtained, driving behavior analysis is conducted on the vehicle data, and driving behavior data of the driver are obtained; and determining a driving behavior score of the driver according to the driving behavior data, and determining a driving behavior score level of the driver according to the driving behavior score of the driver. Therefore, by implementing the method, the efficiency and the precision of determining the driving score and the driving behavior grade of the driver can be improved, the time and the cost for determining the driving score can be reduced, and meanwhile, the driver can know the own driving grade condition, so that the driving safety and the driving skill of the driver are improved, and the driving style of the driver is optimized.

Description

Technical Field

[0001] The present invention relates to the field of data analysis technology, and in particular to an intelligent driving scoring method and device. Background Art

[0002] With the rapid development of modern transportation technology, cars have become an indispensable means of transportation in people's daily lives. However, with the sharp increase in the number of vehicles, road safety issues have become increasingly prominent. As one of the key factors affecting road traffic safety, the rationality, standardization and safety of the driver's driving behavior are of great significance to reducing traffic accidents and ensuring smooth roads.

[0003] Traditionally, the evaluation of driver's driving behavior mainly relies on the on-site judgment of experienced drivers or the on-site law enforcement of traffic police and the determination of responsibility after traffic accidents. This method is inefficient and difficult to fully and accurately reflect the characteristics of driver's driving behavior. Therefore, it is particularly important to propose a technical solution that can improve the accuracy of determining the driver's driving behavior level and thus improve the driver's driving safety. Summary of the invention

[0004] The present invention provides an intelligent driving scoring method and device, which can help improve the accuracy of determining the driver's driving behavior level, thereby improving the driver's driving safety.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses an intelligent driving scoring method, the method comprising:

[0006] Acquiring vehicle data of the vehicle while the driver is driving the vehicle, the vehicle data including vehicle positioning data and vehicle driving data;

[0007] Performing driving behavior analysis on the vehicle data to obtain driving behavior data of the driver;

[0008] A driving behavior score of the driver is determined according to the driving behavior data, and a driving behavior score level of the driver is determined according to the driving behavior score of the driver.

[0009] As an optional implementation, in the first aspect of the present invention, the driving behavior data includes emergency braking data, emergency acceleration data, and high-speed driving data;

[0010] The performing driving behavior analysis on the vehicle data to obtain the driving behavior data of the driver includes:

[0011] Determining speed change data of the vehicle according to the vehicle driving data, wherein the speed change data includes acceleration data and deceleration data;

[0012] Determine, according to the vehicle positioning data, road restriction information and emergency speed change determination conditions corresponding to the current position of the vehicle, wherein the emergency speed change determination conditions include an emergency braking determination condition and an emergency acceleration determination condition;

[0013] The driver's emergency speed change data is determined based on the vehicle's speed change data and the emergency speed change judgment condition corresponding to the vehicle's current position, and the driver's high-speed driving data is determined based on the vehicle's driving data and the road restriction information corresponding to the vehicle's current position, and the emergency speed change data includes the emergency braking data and the emergency acceleration data.

[0014] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0015] determining a first driving style characterization coefficient of the driver according to the emergency speed change data of the driver, and determining a second driving style characterization coefficient of the driver according to the high-speed driving data of the driver;

[0016] determining the driving behavior style information of the driver according to the first driving style characterization coefficient and the second driving style characterization coefficient;

[0017] Acquiring vehicle energy consumption data corresponding to the driver's driving behavior data, and determining the driving economy style information of the driver according to the vehicle energy consumption data;

[0018] And, determining the driving behavior score level of the driver according to the driving behavior score of the driver includes:

[0019] The driving behavior score level of the driver is determined according to the driving behavior score of the driver, the driving behavior style information and the driving economy style information.

[0020] As an optional implementation, in the first aspect of the present invention, the emergency braking data includes the number of emergency braking times, the emergency acceleration data includes the number of emergency acceleration times, and the high-speed driving data includes the high-speed driving time;

[0021] Determining the driving behavior score of the driver according to the driving behavior data includes:

[0022] Obtaining a preset driving behavior scoring formula set, wherein the driving behavior scoring formula set includes an emergency braking behavior scoring formula, an emergency acceleration behavior scoring formula, and a high-speed driving behavior scoring formula;

[0023] Calculating a driving behavior score set of the driver according to the driving behavior data of the driver and the driving behavior score formula set, wherein the driving behavior score set includes an emergency braking behavior score, an emergency acceleration behavior score, and a high-speed driving behavior score;

[0024] The driving behavior score of the driver is determined according to the driving behavior score set of the driver.

[0025] As an optional implementation, in the first aspect of the present invention, the driving behavior scoring formula set further includes a driving behavior total scoring formula;

[0026] The determining the driving behavior score of the driver according to the driving behavior score set of the driver comprises:

[0027] Obtaining a historical driving behavior score of the driver, and determining a driving behavior weight set of the driver according to the historical driving behavior score, wherein the driving behavior weight set includes an emergency braking behavior weight, an emergency acceleration behavior weight, and a high-speed driving behavior weight;

[0028] The driving behavior score of the driver is determined according to the driving behavior score set, the driving behavior weight set and the driving behavior total score formula of the driver.

[0029] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0030] When the driver is driving the vehicle, vehicle interior data of the vehicle is collected based on a preset sensor, and a first driving influencing factor for the driver is determined according to the vehicle interior data, wherein the vehicle interior data includes vehicle multimedia data and / or vehicle passenger data;

[0031] Determining vehicle external data of the vehicle according to the vehicle positioning data, and determining a second driving influencing factor for the driver according to the vehicle external data, wherein the vehicle external data includes weather data and / or road data;

[0032] Determining the driving behavior score of the driver according to the driving behavior data includes:

[0033] A comprehensive influence coefficient for the driving behavior data is determined according to the first driving influence factor and the second driving influence factor, and a driving behavior score of the driver is determined according to the driving behavior data and the comprehensive influence coefficient.

[0034] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0035] Determining whether the driving behavior score of the driver is greater than a preset score threshold, and when the driving behavior score is greater than the score threshold, generating a driving behavior optimization suggestion for the driver according to the driving behavior data and the driving style information;

[0036] When the driving behavior score level is less than the score level threshold, generating a driving practice course for the driver according to the driving behavior score level;

[0037] generating driving feedback data for the driver according to the driving behavior optimization suggestion or the driving practice course;

[0038] A driving report for the driver is generated at preset intervals according to the driver's driving behavior score, driving behavior score level, driving style information and the driving feedback data.

[0039] A second aspect of the present invention discloses an intelligent driving scoring device, the device comprising:

[0040] An acquisition module, used for acquiring vehicle data of the vehicle while the driver is driving the vehicle, wherein the vehicle data includes vehicle positioning data and vehicle driving data;

[0041] An analysis module, used to perform driving behavior analysis on the vehicle data to obtain the driving behavior data of the driver;

[0042] A determination module is used to determine the driving behavior score of the driver according to the driving behavior data, and to determine the driving behavior score level of the driver according to the driving behavior score of the driver.

[0043] As an optional implementation, in the second aspect of the present invention, the driving behavior data includes emergency braking data, emergency acceleration data and high-speed driving data;

[0044] The analysis module performs driving behavior analysis on the vehicle data to obtain the driving behavior data of the driver, specifically including:

[0045] Determining speed change data of the vehicle according to the vehicle driving data, wherein the speed change data includes acceleration data and deceleration data;

[0046] Determine, according to the vehicle positioning data, road restriction information and emergency speed change determination conditions corresponding to the current position of the vehicle, wherein the emergency speed change determination conditions include an emergency braking determination condition and an emergency acceleration determination condition;

[0047] The driver's emergency speed change data is determined based on the vehicle's speed change data and the emergency speed change judgment condition corresponding to the vehicle's current position, and the driver's high-speed driving data is determined based on the vehicle's driving data and the road restriction information corresponding to the vehicle's current position, and the emergency speed change data includes the emergency braking data and the emergency acceleration data.

[0048] As an optional implementation, in the second aspect of the present invention, the determination module is further used to determine the first driving style characterization coefficient of the driver according to the emergency speed change data of the driver, and determine the second driving style characterization coefficient of the driver according to the high-speed driving data of the driver;

[0049] The determination module is further configured to determine the driving behavior style information of the driver according to the first driving style characterization coefficient and the second driving style characterization coefficient;

[0050] The acquisition module is further used to acquire vehicle energy consumption data corresponding to the driving behavior data of the driver, and determine the driving economy style information of the driver according to the vehicle energy consumption data;

[0051] And, the determination module determines the driving behavior score level of the driver according to the driving behavior score of the driver, specifically including:

[0052] The driving behavior score level of the driver is determined according to the driving behavior score of the driver, the driving behavior style information and the driving economy style information.

[0053] As an optional implementation, in the second aspect of the present invention, the emergency braking data includes the number of emergency braking times, the emergency acceleration data includes the number of emergency acceleration times, and the high-speed driving data includes the high-speed driving time;

[0054] The manner in which the determination module determines the driving behavior score of the driver according to the driving behavior data specifically includes:

[0055] Obtaining a preset driving behavior scoring formula set, wherein the driving behavior scoring formula set includes an emergency braking behavior scoring formula, an emergency acceleration behavior scoring formula, and a high-speed driving behavior scoring formula;

[0056] Calculating a driving behavior score set of the driver according to the driving behavior data of the driver and the driving behavior score formula set, wherein the driving behavior score set includes an emergency braking behavior score, an emergency acceleration behavior score, and a high-speed driving behavior score;

[0057] The driving behavior score of the driver is determined according to the driving behavior score set of the driver.

[0058] As an optional implementation, in the second aspect of the present invention, the driving behavior scoring formula set further includes a driving behavior total scoring formula;

[0059] The manner in which the determination module determines the driving behavior score of the driver according to the driving behavior score set of the driver specifically includes:

[0060] Obtaining a historical driving behavior score of the driver, and determining a driving behavior weight set of the driver according to the historical driving behavior score, wherein the driving behavior weight set includes an emergency braking behavior weight, an emergency acceleration behavior weight, and a high-speed driving behavior weight;

[0061] The driving behavior score of the driver is determined according to the driving behavior score set, the driving behavior weight set and the driving behavior total score formula of the driver.

[0062] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0063] A collection module, used for collecting vehicle interior data of the vehicle based on a preset sensor while the driver is driving the vehicle, and determining a first driving influencing factor for the driver according to the vehicle interior data, wherein the vehicle interior data includes vehicle multimedia data and / or vehicle passenger data;

[0064] The determination module is further configured to determine vehicle external data of the vehicle according to the vehicle positioning data, and determine a second driving influencing factor for the driver according to the vehicle external data, wherein the vehicle external data includes weather data and / or road data;

[0065] The manner in which the determination module determines the driving behavior score of the driver according to the driving behavior data specifically includes:

[0066] A comprehensive influence coefficient for the driving behavior data is determined according to the first driving influence factor and the second driving influence factor, and a driving behavior score of the driver is determined according to the driving behavior data and the comprehensive influence coefficient.

[0067] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0068] A judgment module, used to judge whether the driving behavior score level of the driver is greater than a preset score level threshold, and when the driving behavior score level is greater than the score level threshold, generate a driving behavior optimization suggestion for the driver according to the driving behavior data and the driving style information;

[0069] A generating module, configured to generate a driving practice course for the driver according to the driving behavior score level when the driving behavior score level is less than the score level threshold;

[0070] The generating module is further used to generate driving feedback data for the driver according to the driving behavior optimization suggestion or the driving practice course;

[0071] The generating module is further configured to generate a driving report for the driver at preset time intervals based on the driver's driving behavior score, driving behavior score level, driving style information, and the driving feedback data.

[0072] The third aspect of the present invention discloses another intelligent driving scoring device, the device comprising:

[0073] A memory storing executable program code;

[0074] a processor coupled to the memory;

[0075] The processor calls the executable program code stored in the memory to execute the intelligent driving scoring method disclosed in the first aspect of the present invention.

[0076] A fourth aspect of the present invention discloses a computer storage medium, wherein the computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the intelligent driving scoring method disclosed in the first aspect of the present invention.

[0077] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0078] In the embodiment of the present invention, during the process of the driver driving the vehicle, the vehicle data of the vehicle is obtained, the driving behavior analysis is performed on the vehicle data to obtain the driving behavior data of the driver, the driving behavior score of the driver is determined according to the driving behavior data, and the driving behavior score level of the driver is determined according to the driving behavior score of the driver. It can be seen that the implementation of the present invention can improve the efficiency and accuracy of determining the driving score and driving behavior level of the driver, reduce the time and cost of determining the driving score, and at the same time enable the driver to understand his own driving level, thereby improving the driver's driving safety and driving skills, and optimizing the driver's driving style. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0080] Figure 1 It is a flowchart of an intelligent driving scoring method disclosed in an embodiment of the present invention;

[0081] Figure 2 is a flow chart of another intelligent driving scoring method disclosed in an embodiment of the present invention;

[0082] Figure 3 is a structural schematic diagram of an intelligent driving scoring device disclosed in an embodiment of the present invention;

[0083] Figure 4 is a structural schematic diagram of another intelligent driving scoring device disclosed in an embodiment of the present invention;

[0084] Figure 5 It is a structural schematic diagram of another intelligent driving scoring device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0085] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0086] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0087] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0088] The present invention discloses an intelligent driving scoring method and device, which can improve the efficiency and accuracy of determining a driver's driving score and driving behavior level, reduce the time and cost of determining the driving score, and enable the driver to understand his or her driving level, thereby improving the driver's driving safety and driving skills, and optimizing the driver's driving style. The following are detailed descriptions.

[0089] Embodiment 1

[0090] See also Figure 1 , Figure 1 is a flow chart of an intelligent driving scoring method disclosed in an embodiment of the present invention. Figure 1 The described intelligent driving scoring method can be applied to an intelligent driving scoring device, which may include an intelligent device for scoring a driver's driving, and the intelligent device may include any one of an intelligent sensor, an intelligent server, or an intelligent platform, and the intelligent server may include a local server or a cloud server, which is not limited in the embodiments of the present invention. Figure 1 As shown, the intelligent driving scoring method may include the following operations:

[0091] 101. While the driver is driving the vehicle, obtain vehicle data of the vehicle.

[0092] In an embodiment of the present invention, optionally, the vehicle data may include vehicle positioning data and vehicle driving data, wherein the vehicle positioning data of the vehicle may be acquired based on a positioning module built into the vehicle, the vehicle-linked positioning data may include the current precise positioning data of the vehicle, and may also include the current location range of the vehicle, and the vehicle driving data of the vehicle may be acquired based on sensors provided inside and outside the vehicle, including but not limited to speed sensors and acceleration sensors, and the vehicle driving data may include one or more combinations of vehicle driving speed, vehicle driving acceleration, vehicle driving duration, etc., which are not limited by the present invention.

[0093] 102. Perform driving behavior analysis on the vehicle data to obtain the driver's driving behavior data.

[0094] In the embodiment of the present invention, optionally, the driver's driving behavior data may include emergency braking data, emergency acceleration data, and high-speed driving data, which is not limited in the present invention.

[0095] 103. Determine a driving behavior score of the driver based on the driving behavior data, and determine a driving behavior score level of the driver based on the driving behavior score of the driver.

[0096] In an embodiment of the present invention, optionally, the driver's emergency braking behavior score, emergency acceleration behavior score and high-speed driving behavior score can be determined based on the driver's driving behavior data, and then the driver's driving behavior score can be determined based on the driver's emergency braking behavior score, emergency acceleration behavior score and high-speed driving behavior score, which is not limited by the present invention.

[0097] It can be seen that implementation Figure 1 The described intelligent driving scoring method can obtain vehicle data of a vehicle during the process of the driver driving the vehicle, perform driving behavior analysis on the vehicle data, obtain the driver's driving behavior data, determine the driver's driving behavior score based on the driving behavior data, and determine the driver's driving behavior score level based on the driver's driving behavior score. This can improve the efficiency and accuracy of determining the driver's driving score and driving behavior level, reduce the time and cost of determining the driving score, and at the same time enable the driver to understand his or her own driving level, thereby improving the driver's driving safety and driving skills and optimizing the driver's driving style.

[0098] In an optional embodiment, the intelligent driving scoring method may further include the following operations:

[0099] When the driver is driving the vehicle, vehicle interior data of the vehicle is collected based on a preset sensor, and a first driving influencing factor for the driver is determined according to the vehicle interior data, wherein the vehicle interior data includes vehicle multimedia data and / or vehicle passenger data;

[0100] Determining vehicle external data of the vehicle according to the vehicle positioning data, and determining a second driving influencing factor for the driver according to the vehicle external data, wherein the vehicle external data includes weather data and / or road data;

[0101] The driver's driving behavior score is determined based on the driving behavior data, including:

[0102] A comprehensive influence coefficient for the driving behavior data is determined according to the first driving influence factor and the second driving influence factor, and a driving behavior score of the driver is determined according to the driving behavior data and the comprehensive influence coefficient.

[0103] In this optional embodiment, optionally, the vehicle internal data may include vehicle multimedia data and / or vehicle passenger data, the vehicle multimedia data may include vehicle multimedia music playback data and / or phone answering data, etc., the vehicle passenger data may include one or more combinations of conversation data between the vehicle passengers and the driver, external speaker data of the vehicle passengers' electronic devices, data of the vehicle passengers' actions affecting the driver, etc. The first driving influence factor may indicate the degree of influence of the vehicle internal data on the driver's driving behavior, which is not limited in this embodiment.

[0104] In this optional embodiment, optionally, during the operation of the car, various sensors collect data in real time, and the central processing unit (CPU) gathers and analyzes the data regularly. These data are sent to the cloud through the MQTT message middleware, and the cloud combines the travel data for in-depth analysis. For example, the cloud may detect that the driver is facing traffic congestion and the estimated arrival time will be delayed. In this case, the cloud can immediately send information and send suggestions to the car through MQTT to prompt the driver to change the route and provide a faster alternative. The navigation system will quickly update the map to guide the driver to avoid congestion. At the same time, the cloud analysis may also identify that the current driving environment is suitable for playing relaxing music to enhance the driving experience. Therefore, the cloud can suggest that the car play a specific music list or radio station. After the car receives this information, the entertainment system will automatically adjust the playback content and recommend music suitable for the current mood, thereby enhancing the driver's comfort. This interaction realizes the seamless connection between the navigation system and the entertainment system, improves driving safety, and enhances the overall driving experience, so that the driver can not only get effective route guidance when facing real-time road conditions, but also enjoy personalized entertainment content. This multi-module interaction improves the intelligence level of the vehicle and truly realizes "smart travel". After the car is turned off, the driving score will be sent to the cloud via MQTT for storage. The cloud records the score of each trip and regularly generates driving score reports, covering comprehensive evaluations of behaviors such as acceleration, braking, and turning. These reports provide drivers with long-term driving habit analysis, helping them understand their own progress and areas for improvement. Based on historical data, the cloud can also provide personalized suggestions, recommend safe driving techniques or set target scores, thereby further improving driving safety and comfort.

[0105] In this optional embodiment, optionally, the vehicle's external data may include weather data and / or road data, the road data may include road congestion data and / or road condition data, the second driving influence factor may characterize the degree of influence of the road data on the driver's driving behavior, and a comprehensive influence coefficient for the driving behavior data may be determined based on the first driving influence factor and the second driving influence factor, and the driver's driving behavior score may be determined based on the driving behavior data and the comprehensive influence coefficient, which is not limited in this embodiment.

[0106] It can be seen that the implementation of this optional embodiment can collect the vehicle's internal data based on the preset sensor during the driver's driving of the vehicle, and determine the first driving influencing factor for the driver based on the vehicle's internal data, determine the vehicle's external data based on the vehicle positioning data, and determine the second driving influencing factor for the driver based on the vehicle's external data, determine the comprehensive influencing coefficient for the driving behavior data based on the first driving influencing factor and the second driving influencing factor, and determine the driver's driving behavior score based on the driving behavior data and the comprehensive influencing coefficient, and can determine the driving behavior score based on the influencing factors of the vehicle's internal and external parts on the driver during the driving process, improve the accuracy and reliability of the determined driving behavior score, and further improve the driving behavior score's ability to characterize the driver's actual driving level, so that the driver can understand his or her own driving level, and further improve the driver's driving safety and driving skills, and optimize the driver's driving style.

[0107] In another optional embodiment, the intelligent driving scoring method may further include the following operations:

[0108] Determine whether the driver's driving behavior score level is greater than a preset score level threshold, and when the driving behavior score level is greater than the score level threshold, generate driving behavior optimization suggestions for the driver based on the driving behavior data and driving style information;

[0109] When the driving behavior score level is less than the score level threshold, a driving practice course for the driver is generated according to the driving behavior score level;

[0110] Generate driving feedback data for the driver based on driving behavior optimization suggestions or driving practice courses;

[0111] A driving report is generated for the driver at preset intervals based on the driver's driving behavior score, driving behavior score level, driving style information, and driving feedback data.

[0112] In this optional embodiment, the driver's driving behavior score level can be determined according to the driver's driving behavior score and driving style information. Optionally, the driving behavior score level can be set by the manager or according to the general industry rules. In this embodiment, the driving behavior score level is preferably divided into five levels: A, B, C, D, and E. Taking the full score of the driver's driving behavior score as 100 points as an example, level A is excellent, 90-100 points. The driver can maintain the existing driving habits and is recommended to participate in advanced driving skills courses to further improve the skills. Positive feedback is regularly issued to encourage continued excellent performance and provide exclusive rewards. Level B is good, 75-89 points. The use of driving assistance tools can be encouraged, personalized feedback is provided to help consolidate good performance, driving behavior is regularly monitored, and room for improvement is identified. It is recommended to participate in online Improvement courses to further optimize driving habits; Class C is qualified, 60-74 points, and it can be recommended to participate in special safe driving training, focusing on issues such as sudden braking, speeding and sudden acceleration. Combined with data monitoring, real-time feedback is provided to ensure that key habits are improved, and monthly participation in assessments is encouraged to track progress; Class D is in need of improvement, 40-59 points, and safety awareness can be enhanced. Driving habits can be improved through safe driving courses and regular assessments, specific improvement suggestions are provided, and active participation in training is encouraged to help gradually improve driving skills; Class E is unqualified, 39 points and below, and online resources and guidance can be provided, including video tutorials and interactive exercises, to help gradually improve driving habits, and personalized feedback reports are pushed regularly to point out specific problems and put forward practical and feasible improvement suggestions to encourage car owners to learn and improve independently, which is not limited in this embodiment.

[0113] In this optional embodiment, optionally, the preset score level threshold may be determined in the driver's driving behavior score level. For example, the score level threshold may be D, that is, when the driving behavior score level is greater than D, driving behavior optimization suggestions for the driver may be generated based on the driving behavior data and driving style information. The driving behavior optimization suggestions may include recommending to participate in advanced driving skills courses to further improve skills, use driving assistance tools, provide personalized feedback to help consolidate good performance, recommend participation in special safe driving training, focus on sudden braking, speeding, sudden acceleration and other issues, etc., or one or more combinations thereof. When the driving behavior score level is less than or equal to D, a driving practice course for the driver may be generated based on the driving behavior score level. The driving practice course may include video teaching courses and / or interactive practice courses, which are not limited in this embodiment.

[0114] In this optional embodiment, driving feedback data for the driver can be generated according to the driving behavior optimization suggestions or driving practice courses, and a driving report for the driver can be generated at preset intervals according to the driver's driving behavior score, driving behavior score level, driving style information and driving feedback data. The preset time can include daily, weekly and / or monthly. The driving data of the day is automatically synchronized to the cloud every hour to ensure that the report content is always kept up to date, helping the driver to make real-time adjustments. The cloud performs data analysis and generates different types of reports according to different cycles and pushes them to the driver. Specifically, it can be divided into: real-time score display: each time the car is turned off, the car system immediately displays the current driving score to help the driver reflect and improve; daily report: at 1 o'clock every day, the driving data of the previous day is pushed through the car system and the APP bound to the user, and the score and key indicators are displayed using bar charts and pie charts to ensure that the information is easy to understand; weekly report: a comprehensive report of the previous week is sent every Monday, and a line chart is used to show trend changes to help drivers identify habits; monthly report: a detailed report of the previous month is released on the 1st of each month, combined with historical data comparison, to analyze changes in driving habits and improvement suggestions, which are not limited in this embodiment.

[0115] It can be seen that the implementation of this optional embodiment can determine whether the driver's driving behavior score level is greater than a preset score level threshold. When the driving behavior score level is greater than the score level threshold, a driving behavior optimization suggestion for the driver is generated based on the driving behavior data and driving style information. When the driving behavior score level is less than the score level threshold, a driving practice course for the driver is generated based on the driving behavior score level, and driving feedback data for the driver is generated based on the driving behavior optimization suggestion or the driving practice course. A driving report for the driver is generated at preset intervals based on the driver's driving behavior score, driving behavior score level, driving style information and driving feedback data. Different driving optimization suggestions can be provided to the driver according to different driving behavior score levels, and a driving report is regularly generated for the driver to view, which can enable the driver to understand his or her own driving level, thereby improving the driver's driving safety and driving skills, and optimizing the driver's driving style.

[0116] Embodiment 2

[0117] See also Figure 2 , Figure 2 is a flow chart of an intelligent driving scoring method disclosed in an embodiment of the present invention. Figure 2 The described intelligent driving scoring method can be applied to an intelligent driving scoring device, which may include an intelligent device for scoring a driver's driving, and the intelligent device may include any one of an intelligent sensor, an intelligent server, or an intelligent platform, and the intelligent server may include a local server or a cloud server, which is not limited in the embodiments of the present invention. Figure 2 As shown, the intelligent driving scoring method may include the following operations:

[0118] 201. While the driver is driving the vehicle, obtain vehicle data of the vehicle.

[0119] 202. Determine the speed change data of the vehicle according to the vehicle driving data.

[0120] In an embodiment of the present invention, optionally, the speed change data may include acceleration data and deceleration data, the acceleration data may include the number of accelerations, the acceleration duration corresponding to each acceleration, and the acceleration value, and the deceleration data may include the number of decelerations, the deceleration duration corresponding to each deceleration, and the deceleration value, which is not limited by the present invention.

[0121] 203. Determine the road restriction information and emergency speed change determination conditions corresponding to the current position of the vehicle according to the vehicle positioning data.

[0122] In the embodiment of the present invention, optionally, the road restriction information corresponding to the current position of the vehicle may include the road speed limit information corresponding to the current position of the vehicle. Optionally, the emergency speed change determination conditions corresponding to different positions of the vehicle may be different. Specifically, the emergency speed change determination conditions corresponding to the vehicle on urban roads, rural roads, town roads, national highways and expressways may be different. The emergency speed change determination conditions corresponding to the current position of the vehicle may include an emergency braking determination condition and an emergency acceleration determination condition. Taking the vehicle traveling on an urban road as an example, the emergency braking determination condition of the vehicle may include that the deceleration of the vehicle within 1 second is greater than 5m / s 2 (about 0.5g), the vehicle's rapid acceleration determination condition may include the vehicle's acceleration change within 1 second being greater than or equal to 3m / s 2 , the present invention is not limited.

[0123] 204. Determine the driver's emergency speed change data based on the vehicle's speed change data and the emergency speed change determination condition corresponding to the vehicle's current position, and determine the driver's high-speed driving data based on the vehicle's driving data and the road restriction information corresponding to the vehicle's current position.

[0124] In the embodiment of the present invention, optionally, the driver's emergency speed change data is determined according to the vehicle's speed change data and the emergency speed change judgment condition corresponding to the vehicle at the current position, and the driver's emergency speed change data includes emergency braking data and emergency acceleration data, that is, the vehicle's speed change data is analyzed and compared according to the emergency braking judgment condition, and when it is detected that the vehicle's deceleration within 1 second is greater than 5m / s 2 When the vehicle's acceleration change within 1 second is detected to be greater than or equal to 3m / s, the vehicle's speed change data is analyzed and compared. 2When the vehicle is in a state of acceleration, a rapid acceleration behavior is recorded, and rapid acceleration data is obtained, which is not limited in the present invention.

[0125] In an embodiment of the present invention, optionally, the driver's high-speed driving data can be determined based on the vehicle driving data and the road restriction information corresponding to the vehicle at the current position. The road restriction information corresponding to the vehicle at the current position may include the road speed limit information corresponding to the vehicle at the current position, that is, when it is detected that the vehicle driving speed exceeds the preset threshold corresponding to the road speed limit information corresponding to the vehicle at the current position, and continues for a preset time, the driver's high-speed driving behavior is recorded once, and then the driver's high-speed driving data is obtained, wherein the preset threshold corresponding to the road speed limit information may include 20% of the road speed limit information, that is, when the road speed limit information is 60km / h, the preset threshold is 72km / h, and the preset time can be 10 minutes. For example, when the road speed limit in a certain place is 60km / h, if the driver drives the vehicle at a speed exceeding 72km / h and continues to drive at a speed exceeding 72km / h for more than 10 minutes, it will be recorded as high-speed driving behavior, which is not limited by the present invention.

[0126] 205. Determine a driving behavior score of the driver based on the driving behavior data, and determine a driving behavior score level of the driver based on the driving behavior score of the driver.

[0127] In the embodiment of the present invention, for other descriptions of step 201, step 205 and step 206, please refer to the detailed description of step 101 to step 103 in the first embodiment, and the embodiment of the present invention will not be repeated.

[0128] It can be seen that implementation Figure 2 The described intelligent driving scoring method can obtain vehicle data of the vehicle during the process of the driver driving the vehicle, determine the speed change data of the vehicle according to the vehicle driving data, determine the road restriction information and emergency speed change judgment conditions corresponding to the current position of the vehicle according to the vehicle positioning data, determine the driver's emergency speed change data according to the vehicle speed change data and the emergency speed change judgment conditions corresponding to the current position of the vehicle, and determine the driver's high-speed driving data according to the vehicle driving data and the road restriction information corresponding to the current position of the vehicle, thereby improving the accuracy and efficiency of analyzing the driver's driving data, improving the accuracy of determining the driver's driving behavior data, and thus improving the accuracy of determining the driver's driving score, determining the driver's driving behavior score according to the driving behavior data, and determining the driver's driving behavior score level according to the driver's driving behavior score, which can improve the efficiency and accuracy of determining the driver's driving score and driving behavior level, reduce the time and cost of determining the driving score, and at the same time enable the driver to understand his own driving level, thereby improving the driver's driving safety and driving skills, and optimizing the driver's driving style.

[0129] In an optional embodiment, the intelligent driving scoring method may further include the following operations:

[0130] Determining a first driving style characterization coefficient of the driver according to the driver's emergency speed change data, and determining a second driving style characterization coefficient of the driver according to the driver's high-speed driving data;

[0131] Determining the driving behavior style information of the driver according to the first driving style characterization coefficient and the second driving style characterization coefficient;

[0132] Acquire vehicle energy consumption data corresponding to the driver's driving behavior data, and determine the driver's driving economy style information according to the vehicle energy consumption data;

[0133] And, according to the driver's driving behavior score, determine the driver's driving behavior score level, including:

[0134] The driver's driving behavior score level is determined based on the driver's driving behavior score, driving behavior style information, and driving economy style information.

[0135] In this optional embodiment, optionally, the driver's first driving style characterization coefficient can be determined based on the driver's emergency speed change data. Specifically, the driver's braking style characterization coefficient can be determined based on the number of emergency braking times, the deceleration speed value of each emergency braking, and the urgency of each emergency braking. The driver's acceleration style characterization coefficient can be determined based on the number of emergency acceleration times, the acceleration speed value of each emergency acceleration, and the urgency of each emergency acceleration. The driver's first driving style characterization coefficient includes a braking style characterization coefficient and an acceleration style characterization coefficient, which is not limited in this embodiment.

[0136] In this optional embodiment, optionally, the driver's second driving style characterization coefficient can be determined based on the driver's high-speed driving data. Specifically, the driver's second driving style characterization coefficient can be determined based on the driver's high-speed driving times, the speeding value during each high-speed driving, and the driving duration during each high-speed driving. The driver's driving behavior style information can be determined based on the first driving style characterization coefficient and the second driving style characterization coefficient. The driver's driving behavior style information can characterize the driver's driving smoothness, which is not limited in this embodiment.

[0137] In this optional embodiment, optionally, vehicle energy consumption data corresponding to the driver's driving behavior data can be obtained, and the vehicle energy consumption data can include vehicle fuel consumption data and / or vehicle electricity consumption data. The vehicle energy consumption data corresponding to the driver's driving behavior data can include the total vehicle energy consumption of the entire process of the driver driving the vehicle, and can also include the vehicle energy consumption of each emergency braking process of the driver, the vehicle energy consumption of each emergency acceleration process of the driver, and the vehicle energy consumption of each high-speed driving process of the driver. The driver's driving economy style information can be determined based on the vehicle energy consumption data. The driver's driving economy style information can characterize the driver's driving economy. The driver's driving style information can be determined based on the driving behavior style information and the driving economy style information, which is not limited in this embodiment.

[0138] It can be seen that the implementation of this optional embodiment can determine the driver's first driving style characterization coefficient based on the driver's emergency speed change data, and determine the driver's second driving style characterization coefficient based on the driver's high-speed driving data, determine the driver's driving behavior style information based on the first driving style characterization coefficient and the second driving style characterization coefficient, obtain the vehicle energy consumption data corresponding to the driver's driving behavior data, and determine the driver's driving economy style information based on the vehicle energy consumption data, and can determine the driver's driving behavior style information and driving economy style information based on the driving data, thereby improving the driver's understanding of his own driving style, and then being able to optimize the driver's driving style and improve the driver's driving safety and economy.

[0139] In another optional embodiment, the emergency braking data includes the number of emergency braking times, the emergency acceleration data includes the number of emergency acceleration times, and the high-speed driving data includes the high-speed driving time;

[0140] Determining a driver's driving behavior score based on the driving behavior data may include the following operations:

[0141] Obtaining a preset driving behavior scoring formula set, the driving behavior scoring formula set including an emergency braking behavior scoring formula, an emergency acceleration behavior scoring formula, and a high-speed driving behavior scoring formula;

[0142] Calculate the driver's driving behavior score set according to the driver's driving behavior data and the driving behavior score formula set, where the driving behavior score set includes an emergency braking behavior score, an emergency acceleration behavior score, and a high-speed driving behavior score;

[0143] A driving behavior score of the driver is determined based on the driving behavior score set of the driver.

[0144] In this optional embodiment, optionally, the driving behavior scoring formula set may include an emergency braking behavior scoring formula, an emergency acceleration behavior scoring formula and a high-speed driving behavior scoring formula, and may also include a driving behavior total scoring formula, and the driver's driving behavior scoring set may be calculated based on the driver's driving behavior data and the driving behavior scoring formula set, and the driving behavior scoring set may include an emergency braking behavior score, an emergency acceleration behavior score and a high-speed driving behavior score. Specifically, the emergency braking behavior score may be calculated based on the driver's emergency braking times, emergency braking behavior benchmark score and emergency braking behavior deduction coefficient, the emergency acceleration behavior score may be calculated based on the driver's emergency acceleration times, emergency acceleration behavior benchmark score and emergency acceleration behavior deduction coefficient, and the high-speed driving behavior score may be calculated based on the driver's high-speed driving time, high-speed driving behavior benchmark score and high-speed driving behavior deduction coefficient, wherein the unit of the driver's high-speed driving time is minutes, and the emergency braking behavior scoring formula includes:

[0145] f1(B1)=α1-β1·B1

[0146] The rapid acceleration behavior scoring formula includes:

[0147] f2(B2)=α2-β2·B2

[0148] High-speed driving behavior scoring formula:

[0149]

[0150] Among them, B1 represents the number of emergency braking times, B2 represents the number of emergency acceleration times, B3 represents the duration of high-speed driving, α1 represents the baseline score for emergency braking behavior, α2 represents the baseline score for emergency acceleration behavior, α3 represents the baseline score for high-speed driving behavior, β1 represents the deduction coefficient for emergency braking behavior, β2 represents the deduction coefficient for emergency acceleration behavior, and β3 represents the deduction coefficient for high-speed driving behavior, which is not limited in this embodiment.

[0151] It can be seen that implementing this optional embodiment can obtain a preset driving behavior scoring formula set, calculate the driver's driving behavior scoring set based on the driver's driving behavior data and the driving behavior scoring formula set, determine the driver's driving behavior score based on the driver's driving behavior scoring set, and be able to determine the scores of the driver's different driving behaviors, thereby improving the accuracy and reliability of determining the driver's driving behavior score, thereby improving the accuracy of determining the scoring level, improving the driver's understanding of his or her own driving level, and thereby improving the driver's driving safety and driving skills.

[0152] In yet another optional embodiment, the driving behavior scoring formula set further includes a driving behavior total scoring formula;

[0153] Determining the driver's driving behavior score according to the driver's driving behavior score set may include the following operations:

[0154] Obtain the driver's historical driving behavior score, and determine the driver's driving behavior weight set according to the historical driving behavior score, the driving behavior weight set including the sudden braking behavior weight, the sudden acceleration behavior weight and the high-speed driving behavior weight;

[0155] The driver's driving behavior score is determined based on the driver's driving behavior score set, driving behavior weight set and driving behavior total score formula.

[0156] In this optional embodiment, optionally, the driver's historical driving behavior score may include a historical emergency braking behavior score, a historical emergency acceleration behavior score, and a historical high-speed driving behavior score, and the driver's driving behavior weight set may be determined based on the historical driving behavior score. Specifically, the driver's historical emergency braking behavior score, historical emergency acceleration behavior score, and historical high-speed driving behavior score may be determined based on the historical driving behavior scores corresponding to multiple historical driving processes of the driver. The score distribution and / or score proportion of the driver's historical emergency braking behavior score, historical emergency acceleration behavior score, and historical high-speed driving behavior score can be determined, and then the driver's driving behavior weight set is determined based on the score distribution and / or score proportion. The driving behavior weight set may include an emergency braking behavior weight, an emergency acceleration behavior weight, and a high-speed driving behavior weight, and the driving behavior total score formula includes:

[0157] S(x)=ω1·f1(B1)+ω2·f2(B2)+ω3·f3(B3)

[0158] Among them, ω1 represents the weight of sudden braking behavior, ω2 represents the weight of sudden acceleration behavior, and ω3 represents the weight of high-speed driving behavior, which is not limited in this embodiment.

[0159] In this optional embodiment, optionally, the driver's driving behavior score can be determined according to the driver's driving behavior score set, the driving behavior weight set and the driving behavior total score formula. For example, the driver's emergency braking behavior weight is 0.4, the driver's emergency acceleration behavior weight is 0.3, and the driver's high-speed driving behavior weight is 0.3. The driver's emergency braking behavior benchmark score is set to 50, the driver's emergency acceleration behavior benchmark score is 40, and the driver's high-speed driving behavior benchmark score is 60. The driver's emergency braking times are set to 5 times, the driver's emergency acceleration times are set to 3 times, and the driver's high-speed driving time is 20 minutes. The driver's emergency braking behavior score is f1(B1)=50-2×5=40, the driver's emergency acceleration behavior score is f2(B2)=40-3×3=31, and the driver's high-speed driving behavior score is Then the driver's driving behavior score is S(x)=0.4×40+0.3×31+0.3×58=42.7, which is not limited in this embodiment.

[0160] It can be seen that implementing this optional embodiment can obtain the driver's historical driving behavior score, and determine the driver's driving behavior weight set based on the historical driving behavior score, determine the driver's driving behavior score based on the driver's driving behavior score set, the driving behavior weight set and the driving behavior total score formula, and can determine the driver's driving behavior score based on the weight of each driving behavior, thereby improving the efficiency and accuracy of determining the driver's driving score and driving behavior level, reducing the time and cost of determining the driving score, and at the same time enabling the driver to understand his or her own driving level, thereby improving the driver's driving safety and driving skills.

[0161] Embodiment 3

[0162] See also Figure 3 , Figure 3 : is a schematic diagram of the structure of an intelligent driving scoring device disclosed in an embodiment of the present invention. Figure 3 The described intelligent driving scoring device may include an intelligent device for scoring a driver's driving, and the intelligent device may include any one of an intelligent sensor, an intelligent server, or an intelligent platform. The intelligent server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 3 As shown, the intelligent driving scoring device may include:

[0163] The acquisition module 301 is used to acquire vehicle data of the vehicle while the driver is driving the vehicle, and the vehicle data includes vehicle positioning data and vehicle driving data;

[0164] The analysis module 302 is used to analyze the driving behavior of the vehicle data to obtain the driving behavior data of the driver;

[0165] The determination module 303 is used to determine the driver's driving behavior score according to the driving behavior data, and determine the driver's driving behavior score level according to the driver's driving behavior score.

[0166] It can be seen that implementation Figure 3The described intelligent driving scoring device can obtain vehicle data of the vehicle during the process of the driver driving the vehicle, perform driving behavior analysis on the vehicle data, obtain the driver's driving behavior data, and determine the driver's driving style information based on the driving behavior data, determine the driver's driving behavior score based on the driving behavior data, and determine the driver's driving behavior score level based on the driver's driving behavior score and driving style information. It can improve the efficiency and accuracy of determining the driver's driving score and driving behavior level, reduce the time and cost of determining the driving score, and at the same time enable the driver to understand his or her own driving level, thereby improving the driver's driving safety and driving skills, and optimizing the driver's driving style.

[0167] In an optional embodiment, if Figure 4 As shown, the driving behavior data includes emergency braking data, emergency acceleration data, and high-speed driving data;

[0168] The analysis module 302 performs driving behavior analysis on the vehicle data, and the specific method of obtaining the driver's driving behavior data includes:

[0169] Determine the speed change data of the vehicle according to the vehicle driving data, the speed change data including acceleration data and deceleration data;

[0170] Determine the road restriction information and emergency speed change judgment conditions corresponding to the current position of the vehicle according to the vehicle positioning data, the emergency speed change judgment conditions including emergency braking judgment conditions and emergency acceleration judgment conditions;

[0171] The driver's emergency speed change data is determined based on the vehicle's speed change data and the emergency speed change judgment conditions corresponding to the vehicle's current position, and the driver's high-speed driving data is determined based on the vehicle's driving data and the road restriction information corresponding to the vehicle's current position. The emergency speed change data includes emergency braking data and emergency acceleration data.

[0172] It can be seen that implementation Figure 4The described intelligent driving scoring device can obtain vehicle data of the vehicle while the driver is driving the vehicle, determine the speed change data of the vehicle according to the vehicle driving data, determine the road restriction information and emergency speed change judgment conditions corresponding to the current position of the vehicle according to the vehicle positioning data, determine the driver's emergency speed change data according to the vehicle speed change data and the emergency speed change judgment conditions corresponding to the current position of the vehicle, and determine the driver's high-speed driving data according to the vehicle driving data and the road restriction information corresponding to the current position of the vehicle, thereby improving the accuracy and efficiency of analyzing the driver's driving data, improving the accuracy of determining the driver's driving behavior data, and thus improving the accuracy of determining the driver's driving score, determining the driver's driving style information according to the driving behavior data, determining the driver's driving behavior score according to the driving behavior data, and determining the driver's driving behavior score level according to the driver's driving behavior score and driving style information, thereby improving the efficiency and accuracy of determining the driver's driving score and driving behavior level, reducing the time and cost of determining the driving score, and at the same time enabling the driver to understand his or her own driving level, thereby improving the driver's driving safety and driving skills, and optimizing the driver's driving style.

[0173] In another optional embodiment, Figure 4 As shown, the determination module 303 is further used to determine the first driving style characterization coefficient of the driver according to the driver's emergency speed change data, and to determine the second driving style characterization coefficient of the driver according to the driver's high-speed driving data;

[0174] The determination module 303 is further used to determine the driving behavior style information of the driver according to the first driving style characterization coefficient and the second driving style characterization coefficient;

[0175] The acquisition module 301 is further used to acquire vehicle energy consumption data corresponding to the driver's driving behavior data, and determine the driver's driving economy style information according to the vehicle energy consumption data;

[0176] And, the specific manner in which the determination module 303 determines the driver's driving behavior score level according to the driver's driving behavior score includes:

[0177] The driver's driving behavior score level is determined based on the driver's driving behavior score, driving behavior style information, and driving economy style information.

[0178] It can be seen that implementation Figure 4The described intelligent driving scoring device can determine the driver's first driving style characterization coefficient based on the driver's emergency speed change data, and determine the driver's second driving style characterization coefficient based on the driver's high-speed driving data, determine the driver's driving behavior style information based on the first driving style characterization coefficient and the second driving style characterization coefficient, obtain the vehicle energy consumption data corresponding to the driver's driving behavior data, and determine the driver's driving economy style information based on the vehicle energy consumption data, and can determine the driver's driving behavior style information and driving economy style information based on the driving data, thereby improving the driver's understanding of his own driving style, and then optimizing the driver's driving style and improving the driver's driving safety and economy.

[0179] In yet another optional embodiment, Figure 4 As shown, the emergency braking data includes the number of emergency braking times, the emergency acceleration data includes the number of emergency acceleration times, and the high-speed driving data includes the high-speed driving time;

[0180] The specific method in which the determination module 303 determines the driver's driving behavior score according to the driving behavior data includes:

[0181] Obtaining a preset driving behavior scoring formula set, the driving behavior scoring formula set including an emergency braking behavior scoring formula, an emergency acceleration behavior scoring formula, and a high-speed driving behavior scoring formula;

[0182] Calculate the driver's driving behavior score set according to the driver's driving behavior data and the driving behavior score formula set, where the driving behavior score set includes an emergency braking behavior score, an emergency acceleration behavior score, and a high-speed driving behavior score;

[0183] A driving behavior score of the driver is determined based on the driving behavior score set of the driver.

[0184] It can be seen that implementation Figure 4 The described intelligent driving scoring device can obtain a preset driving behavior scoring formula set, calculate the driver's driving behavior scoring set based on the driver's driving behavior data and the driving behavior scoring formula set, determine the driver's driving behavior score based on the driver's driving behavior scoring set, and can determine the scores of the driver's different driving behaviors, thereby improving the accuracy and reliability of determining the driver's driving behavior score, thereby improving the accuracy of determining the scoring level, improving the driver's understanding of his or her own driving level, and thereby improving the driver's driving safety and driving skills.

[0185] In yet another optional embodiment, Figure 4 As shown, the driving behavior scoring formula set also includes a driving behavior total scoring formula;

[0186] The specific manner in which the determination module 303 determines the driver's driving behavior score according to the driver's driving behavior score set includes:

[0187] Obtain the driver's historical driving behavior score, and determine the driver's driving behavior weight set according to the historical driving behavior score, the driving behavior weight set including the sudden braking behavior weight, the sudden acceleration behavior weight and the high-speed driving behavior weight;

[0188] The driver's driving behavior score is determined based on the driver's driving behavior score set, driving behavior weight set and driving behavior total score formula.

[0189] It can be seen that implementation Figure 4 The described intelligent driving scoring device can obtain the driver's historical driving behavior score, and determine the driver's driving behavior weight set based on the historical driving behavior score, and determine the driver's driving behavior score based on the driver's driving behavior score set, the driving behavior weight set and the driving behavior total score formula. The driver's driving behavior score can be determined based on the weight of each driving behavior, thereby improving the efficiency and accuracy of determining the driver's driving score and driving behavior level, reducing the time and cost of determining the driving score, and at the same time enabling the driver to understand his or her own driving level, thereby improving the driver's driving safety and driving skills.

[0190] In yet another optional embodiment, Figure 4 As shown, the intelligent driving scoring device may also include:

[0191] The acquisition module 304 is used to collect vehicle internal data of the vehicle based on a preset sensor while the driver is driving the vehicle, and determine a first driving influencing factor for the driver according to the vehicle internal data, wherein the vehicle internal data includes vehicle multimedia data and / or vehicle passenger data;

[0192] The determination module 303 is further used to determine vehicle external data of the vehicle according to the vehicle positioning data, and determine a second driving influencing factor for the driver according to the vehicle external data, wherein the vehicle external data includes weather data and / or road data;

[0193] The specific method in which the determination module 303 determines the driver's driving behavior score according to the driving behavior data includes:

[0194] A comprehensive influence coefficient for the driving behavior data is determined according to the first driving influence factor and the second driving influence factor, and a driving behavior score of the driver is determined according to the driving behavior data and the comprehensive influence coefficient.

[0195] It can be seen that implementation Figure 4The described intelligent driving scoring device can collect internal vehicle data of the vehicle based on preset sensors while the driver is driving the vehicle, and determine a first driving influencing factor for the driver based on the internal vehicle data, determine external vehicle data of the vehicle based on the vehicle positioning data, and determine a second driving influencing factor for the driver based on the external vehicle data, determine a comprehensive influencing coefficient for the driving behavior data based on the first driving influencing factor and the second driving influencing factor, and determine the driver's driving behavior score based on the driving behavior data and the comprehensive influencing coefficient, and can determine the driving behavior score based on the influencing factors of the inside and outside of the vehicle on the driver during driving, improve the accuracy and reliability of the determined driving behavior score, and thereby improve the ability of the driving behavior score to characterize the driver's actual driving level, enable the driver to understand his or her own driving level, and thereby improve the driver's driving safety and driving skills, and optimize the driver's driving style.

[0196] In yet another optional embodiment, Figure 4 As shown, the intelligent driving scoring device may also include:

[0197] The judgment module 305 is used to judge whether the driver's driving behavior score level is greater than a preset score level threshold. When the driving behavior score level is greater than the score level threshold, a driving behavior optimization suggestion for the driver is generated according to the driving behavior data and driving style information;

[0198] A generating module 306, configured to generate a driving practice course for the driver according to the driving behavior score level when the driving behavior score level is less than the score level threshold;

[0199] The generating module 306 is further used to generate driving feedback data for the driver according to the driving behavior optimization suggestion or the driving practice course;

[0200] The generating module 306 is further configured to generate a driving report for the driver at preset intervals based on the driver's driving behavior score, driving behavior score level, driving style information, and driving feedback data.

[0201] It can be seen that implementation Figure 4The described intelligent driving scoring device can determine whether the driver's driving behavior score level is greater than a preset score level threshold. When the driving behavior score level is greater than the score level threshold, a driving behavior optimization suggestion for the driver is generated based on the driving behavior data and driving style information. When the driving behavior score level is less than the score level threshold, a driving practice course for the driver is generated based on the driving behavior score level, and driving feedback data for the driver is generated based on the driving behavior optimization suggestion or the driving practice course. A driving report for the driver is generated at preset intervals based on the driver's driving behavior score, driving behavior score level, driving style information and driving feedback data. Different driving optimization suggestions can be provided to the driver according to different driving behavior score levels, and driving reports are generated regularly for the driver to view, so that the driver can understand his or her own driving level, thereby improving the driver's driving safety and driving skills and optimizing the driver's driving style.

[0202] Embodiment 4

[0203] See also Figure 5 , Figure 5 FIG. 1 is a schematic diagram of the structure of another intelligent driving scoring device disclosed in an embodiment of the present invention. Figure 5 As shown, the intelligent driving scoring device may include:

[0204] A memory 401 storing executable program codes;

[0205] a processor 402 coupled to the memory 401;

[0206] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the intelligent driving scoring method described in the first embodiment of the present invention or the second embodiment of the present invention.

[0207] Embodiment 5

[0208] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the intelligent driving scoring method described in Embodiment 1 or Embodiment 2 of the present invention.

[0209] Embodiment 6

[0210] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the intelligent driving scoring method described in Embodiment 1 or Embodiment 2.

[0211] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0212] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0213] Finally, it should be noted that the intelligent driving scoring method and device disclosed in the embodiments of the present invention disclose only the preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent driving scoring method, characterized in that: The method comprises: Acquiring vehicle data of the vehicle while the driver is driving the vehicle, the vehicle data including vehicle positioning data and vehicle driving data; Performing driving behavior analysis on the vehicle data to obtain driving behavior data of the driver; A driving behavior score of the driver is determined according to the driving behavior data, and a driving behavior score level of the driver is determined according to the driving behavior score of the driver.

2. The intelligent driving scoring method according to claim 1, characterized in that: The driving behavior data includes emergency braking data, emergency acceleration data and high-speed driving data; The performing driving behavior analysis on the vehicle data to obtain the driving behavior data of the driver includes: Determining speed change data of the vehicle according to the vehicle driving data, wherein the speed change data includes acceleration data and deceleration data; Determine, according to the vehicle positioning data, road restriction information and emergency speed change determination conditions corresponding to the current position of the vehicle, wherein the emergency speed change determination conditions include an emergency braking determination condition and an emergency acceleration determination condition; The driver's emergency speed change data is determined based on the vehicle's speed change data and the emergency speed change judgment condition corresponding to the vehicle's current position, and the driver's high-speed driving data is determined based on the vehicle's driving data and the road restriction information corresponding to the vehicle's current position, and the emergency speed change data includes the emergency braking data and the emergency acceleration data.

3. The intelligent driving scoring method according to claim 2, characterized in that: The method further comprises: determining a first driving style characterization coefficient of the driver according to the emergency speed change data of the driver, and determining a second driving style characterization coefficient of the driver according to the high-speed driving data of the driver; determining the driving behavior style information of the driver according to the first driving style characterization coefficient and the second driving style characterization coefficient; Acquiring vehicle energy consumption data corresponding to the driver's driving behavior data, and determining the driving economy style information of the driver according to the vehicle energy consumption data; And, determining the driving behavior score level of the driver according to the driving behavior score of the driver includes: The driving behavior score level of the driver is determined according to the driving behavior score of the driver, the driving behavior style information and the driving economy style information.

4. The intelligent driving scoring method according to claim 2 or 3, characterized in that: The emergency braking data includes the number of emergency braking times, the emergency acceleration data includes the number of emergency acceleration times, and the high-speed driving data includes the high-speed driving time; Determining the driving behavior score of the driver according to the driving behavior data includes: Obtaining a preset driving behavior scoring formula set, wherein the driving behavior scoring formula set includes an emergency braking behavior scoring formula, an emergency acceleration behavior scoring formula, and a high-speed driving behavior scoring formula; Calculating a driving behavior score set of the driver according to the driving behavior data of the driver and the driving behavior score formula set, wherein the driving behavior score set includes an emergency braking behavior score, an emergency acceleration behavior score, and a high-speed driving behavior score; The driving behavior score of the driver is determined according to the driving behavior score set of the driver.

5. The intelligent driving scoring method according to claim 4, characterized in that: The driving behavior scoring formula set also includes a driving behavior total scoring formula; The determining the driving behavior score of the driver according to the driving behavior score set of the driver comprises: Obtaining a historical driving behavior score of the driver, and determining a driving behavior weight set of the driver according to the historical driving behavior score, wherein the driving behavior weight set includes an emergency braking behavior weight, an emergency acceleration behavior weight, and a high-speed driving behavior weight; The driving behavior score of the driver is determined according to the driving behavior score set, the driving behavior weight set and the driving behavior total score formula of the driver.

6. The intelligent driving scoring method according to any one of claims 1 to 3, characterized in that: The method further comprises: When the driver is driving the vehicle, vehicle interior data of the vehicle is collected based on a preset sensor, and a first driving influencing factor for the driver is determined according to the vehicle interior data, wherein the vehicle interior data includes vehicle multimedia data and / or vehicle passenger data; Determining vehicle external data of the vehicle according to the vehicle positioning data, and determining a second driving influencing factor for the driver according to the vehicle external data, wherein the vehicle external data includes weather data and / or road data; Determining the driving behavior score of the driver according to the driving behavior data includes: A comprehensive influence coefficient for the driving behavior data is determined according to the first driving influence factor and the second driving influence factor, and a driving behavior score of the driver is determined according to the driving behavior data and the comprehensive influence coefficient.

7. The intelligent driving scoring method according to any one of claims 1 to 3, characterized in that: The method further comprises: Determining whether the driving behavior score of the driver is greater than a preset score threshold, and when the driving behavior score is greater than the score threshold, generating a driving behavior optimization suggestion for the driver according to the driving behavior data and the driving style information; When the driving behavior score level is less than the score level threshold, generating a driving practice course for the driver according to the driving behavior score level; generating driving feedback data for the driver according to the driving behavior optimization suggestion or the driving practice course; A driving report for the driver is generated at preset intervals according to the driver's driving behavior score, driving behavior score level, driving style information and the driving feedback data.

8. An intelligent driving scoring device, characterized in that: The device comprises: An acquisition module, used for acquiring vehicle data of the vehicle while the driver is driving the vehicle, wherein the vehicle data includes vehicle positioning data and vehicle driving data; An analysis module, used to perform driving behavior analysis on the vehicle data to obtain the driving behavior data of the driver; A determination module is used to determine the driving behavior score of the driver according to the driving behavior data, and to determine the driving behavior score level of the driver according to the driving behavior score of the driver.

9. An intelligent driving scoring device, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent driving scoring method according to any one of claims 1 to 7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, which, when called, are used to execute the intelligent driving scoring method according to any one of claims 1 to 7.

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