Road rage adjusting method and device, computer equipment and readable storage medium

Abstract

The invention relates to a road rage adjusting method and device, computer equipment and a readable storage medium. The method comprises the following steps: acquiring road environment information and physiological behavior information of a driver; determining a candidate road rage level of the driver according to the physiological behavior information; evaluating a current driving environment according to the road environment information; adjusting the candidate road rage level according to the driving environment to determine a target road rage level; and starting a corresponding road rage intervention strategy according to the target road rage level to pacify the emotion of the driver. The method can relieve the road rage emotion of the driver and improve the driving safety.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a road rage regulation method, apparatus, computer device, and readable storage medium. Background Art

[0002] With the development of production and life, there are more and more vehicles on the road, and the traffic situation is becoming more and more complicated. Many drivers have the problem of road rage. Road rage refers to the strong negative emotions such as anger, anxiety, irritability, etc. caused by factors such as traffic congestion and other drivers' behavior during driving.

[0003] When a driver is angry on the road, his emotions may be out of control and driving safety may be seriously affected. Summary of the invention

[0004] Based on this, it is necessary to provide a road rage regulation method, device, computer equipment and readable storage medium that can alleviate the driver's road rage and improve driving safety in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for regulating road rage, the method comprising:

[0006] Obtain road environment information and driver's physiological behavior information;

[0007] determining a candidate road rage level of the driver based on the physiological behavior information;

[0008] evaluating the current driving environment according to the road environment information;

[0009] adjusting the candidate road rage levels according to the driving environment to determine a target road rage level;

[0010] The corresponding road rage intervention strategy is initiated according to the target road rage level to calm the driver's emotions.

[0011] In one embodiment, determining the candidate road rage level of the driver according to the physiological behavior information includes:

[0012] Calculating a total emotion score based on the physiological behavior information and preset emotion determination rules;

[0013] The candidate road rage level is determined according to the total emotion score and a preset emotion level threshold.

[0014] In one of the embodiments, the physiological behavior information includes at least one of facial expression information, biological information, voice information and behavior information;

[0015] The calculating of the total emotion score according to the physiological behavior information and the preset emotion determination rules includes:

[0016] Acquire a first emotion score according to the facial expression information and a preset first emotion determination rule;

[0017] Acquire a second emotion score according to the biological information and a preset second emotion determination rule;

[0018] Obtaining a third emotion score according to the voice information and a preset third emotion determination rule;

[0019] Obtaining a fourth emotion score according to the behavior information and a preset fourth emotion determination rule;

[0020] The total emotion score is obtained according to at least one of the first emotion score, the second emotion score, the third emotion score, and the fourth emotion score.

[0021] In one embodiment, the emotion level threshold includes a first threshold, a second threshold, and a third threshold, the candidate road rage levels include no road rage, mild road rage, moderate road rage, and severe road rage, the first threshold is less than the second threshold, and the second threshold is less than the third threshold;

[0022] The determining the candidate road rage level according to the total emotion score and a preset emotion level threshold comprises:

[0023] When the total emotion score is less than the first threshold, determining the candidate road rage level as non-road rage;

[0024] When the total emotion score is greater than or equal to the first threshold value and less than the second threshold value, determining that the candidate road rage level is mild road rage;

[0025] When the total emotion score is greater than or equal to the second threshold and less than the third threshold, determining that the candidate road rage level is moderate road rage;

[0026] When the total emotion score is greater than or equal to the third threshold, the candidate road rage level is determined to be severe road rage.

[0027] In one embodiment, the driving environment includes a normal driving environment and a severe driving environment, the candidate road rage levels and the target road rage level both include n levels of road rage, n>1; and adjusting the candidate road rage levels according to the driving environment to determine the target road rage level includes:

[0028] When the driving environment is a normal driving environment and the candidate road rage level is the i-th level road rage, determining the target road rage level to be the i-1-th level road rage, wherein 0<i<n;

[0029] When the driving environment is a severe driving environment and the candidate road rage level is the i-th level of road rage, determining the target road rage level to be the i+1-th level of road rage;

[0030] When the driving environment is a normal driving environment and the candidate road rage level is level 0, determining the target road rage level to be the candidate road rage level;

[0031] When the driving environment is a severe driving environment and the candidate road rage level is an nth level of road rage, the target road rage level is determined to be the candidate road rage level.

[0032] In one embodiment, the target road rage level includes non-road rage, mild road rage, moderate road rage and severe road rage, and the road rage intervention strategy includes a first intervention strategy, a second intervention strategy and a third intervention strategy; and the initiating a corresponding road rage intervention strategy according to the target emotion level includes:

[0033] When the target road rage level is the mild road rage, a first intervention strategy is initiated; wherein the first intervention strategy includes controlling the center console screen to switch to a first preset display style, and / or controlling the ambient light to switch to a preset lighting effect, and / or controlling the multimedia device to play a preset first type of music, and / or controlling the multimedia device to play a first type of prompt voice;

[0034] When the target road rage level is the moderate road rage, a first intervention strategy and a second intervention strategy are initiated; wherein the second intervention strategy includes controlling the fragrance to release a preset scent, and / or controlling the multimedia device to play a second type of prompt voice;

[0035] When the target road rage level is the severe road rage level, a third intervention strategy is initiated; wherein the third intervention strategy includes controlling the vehicle to enter an automatic driving state, and / or controlling the vehicle to automatically pull over to the side of the road, and / or controlling the center console screen to switch to a second preset display style, and / or controlling the multimedia device to play a third type of prompt voice.

[0036] In a second aspect, the present application provides a road rage regulation device, the device comprising:

[0037] An information acquisition module is used to obtain road environment information and driver's physiological behavior information in real time;

[0038] A first determination module, configured to determine a candidate road rage level of the driver according to the physiological behavior information;

[0039] A first evaluation module, used for evaluating the current driving environment according to the road environment information;

[0040] a second determination module, configured to adjust the candidate road rage levels according to the driving environment to determine a target road rage level;

[0041] The intervention module is used to initiate the corresponding road rage intervention strategy according to the target emotion level to calm the driver's emotions.

[0042] In a third aspect, the present application provides a computer device including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the road rage regulation method described in any one of the above embodiments are implemented.

[0043] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the road rage regulation method described in any of the above embodiments are implemented.

[0044] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the road rage regulation method described in any of the above embodiments.

[0045] The above-mentioned road rage regulation method, device, computer equipment and readable storage medium first obtain road environment information and the driver's physiological behavior information. Since the driver's physiological behavior information can intuitively reflect the driver's emotional state, the driver's candidate road rage level can be preliminarily determined based on the physiological behavior information. Since the driving environment in which the driver is driving the vehicle will also have an impact on the driver's emotions, this application will evaluate the current driving environment based on the road environment information while evaluating the driver's candidate road rage level, and adjust the candidate road rage level based on the driving environment to determine the target road rage level. Finally, the corresponding road rage intervention strategy is activated based on the target road rage level to calm the driver's emotions. The road rage regulation method of the present application can evaluate the driver's road rage level according to the driver's driving environment and real physiological data, and can activate the corresponding road rage intervention strategy, thereby alleviating the driver's road rage and improving driving safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0047] Figure 1 A schematic diagram of a process for regulating road rage in one embodiment;

[0048] Figure 2 is a flow chart of step S102 in one embodiment;

[0049] Figure 3 is a flow chart of step S201 in one embodiment;

[0050] Figure 4 is a flow chart of step S202 in one embodiment;

[0051] Figure 5 is a flow chart of step S104 in one embodiment;

[0052] Figure 6 is a flow chart of step S105 in one embodiment;

[0053] Figure 7 is a structural block diagram of a road rage regulation device in one embodiment;

[0054] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0056] In an exemplary embodiment, see Figure 1 The present application provides a road rage regulation method, which includes steps S101 to S105. The following is an example of applying the method to a cockpit interaction system in a vehicle.

[0057] S101: Acquire road environment information and driver's physiological behavior information.

[0058] It can be understood that various types of sensors can be installed inside and outside the vehicle. For example, a heart rate sensor can be installed on the steering wheel to monitor the driver's heart rate information. Image sensors can be installed inside and outside the vehicle to collect the driver's facial expression information and the environment information outside the vehicle respectively. A sound sensor can also be set inside the vehicle to monitor the driver's voice. Through various types of sensors inside and outside the vehicle, the cockpit interaction system can obtain the driver's physiological behavior information and the road environment information outside the vehicle in real time.

[0059] S102: Determine a candidate road rage level of the driver according to the physiological behavior information.

[0060] In the application, after obtaining the driver's physiological behavior information, the cockpit interaction system can pre-process the physiological behavior information, such as performing data cleaning and formatting on the physiological behavior information, and then analyze the physiological behavior information based on the information reading algorithm to preliminarily determine whether the driver currently has road rage emotions and the degree of road rage.

[0061] S103: Evaluate the current driving environment according to the road environment information.

[0062] While evaluating the driver's candidate road rage levels, the cockpit interaction system can also evaluate the current driving environment based on the road environment information, that is, analyze the impact of the driving environment on the driver's road rage emotions.

[0063] S104: Adjusting the candidate road rage levels according to the driving environment to determine a target road rage level.

[0064] Since the quality of the driving environment will directly affect the driver's road rage, the candidate road rage levels can be adjusted based on the driving environment to ultimately determine the driver's target road rage level.

[0065] S105: Initiating a corresponding road rage intervention strategy according to the target road rage level to calm the driver's emotions.

[0066] Depending on the final level of the driver's road rage, the cockpit interaction system will choose to start the corresponding road rage intervention strategy to alleviate the driver's road rage. For example, when the driver is in a state of mild road rage, soothing music can be played to relax the driver's mood. When the driver is in a state of severe road rage, the assisted driving system on the vehicle will be controlled to start, and the vehicle will be controlled to enter automatic driving state or directly pull over to the side of the road to prevent the driver from causing a traffic accident due to excessive emotion.

[0067] The above-mentioned road rage regulation method first obtains road environment information and the driver's physiological behavior information. Since the driver's physiological behavior information can intuitively reflect the driver's emotional state, the driver's candidate road rage level can be preliminarily determined based on the physiological behavior information. Since the driving environment in which the driver is driving the vehicle will also have an impact on the driver's emotions, this application will evaluate the current driving environment based on the road environment information while evaluating the driver's candidate road rage level, and adjust the candidate road rage level based on the driving environment to determine the target road rage level. Finally, the corresponding road rage intervention strategy is initiated based on the target road rage level to calm the driver's emotions. The road rage regulation method of the present application can evaluate the driver's road rage level based on the driver's driving environment and real physiological data, and can initiate the corresponding road rage intervention strategy, thereby alleviating the driver's road rage and improving driving safety.

[0068] In an exemplary embodiment, see Figure 2 , step S102, determining the candidate road rage level of the driver according to the physiological behavior information, including step S201 and step S202.

[0069] S201: Calculate the total emotion score according to the physiological behavior information and the preset emotion determination rules.

[0070] Physiological behavior information may include multiple pieces of information, such as facial expression information, biological information, voice information, and behavioral information. For each piece of information, the emotion score of the information can be calculated based on preset emotion judgment rules, and finally the total emotion score can be calculated based on the summary of each emotion score.

[0071] S202: Determine a candidate road rage level according to the total emotion score and a preset emotion level threshold.

[0072] After the total emotion score is calculated, the candidate road rage levels can be determined based on the total score and the preset thresholds of each emotion level.

[0073] In an exemplary embodiment, see Figure 3 , step S201, calculating the total emotion score according to the physiological behavior information and the preset emotion determination rules, including steps S301 to S305.

[0074] S301: Obtaining a first emotion score according to facial expression information and a preset first emotion determination rule.

[0075] It can be understood that the camera in the vehicle can monitor the driver's facial expressions in real time and transmit the facial expression information to the cockpit interaction system. The cockpit interaction system can analyze the driver's anger level based on the driver's facial expression information based on a deep learning algorithm.

[0076] In one example, the cockpit interaction system may classify facial expression information into four levels according to the degree of anger: non-anger, slightly angry, moderately angry, and strongly angry. When it is recognized that the driver's facial expression information is non-anger, the first emotion score is determined to be 0 points; when it is recognized that the driver's facial expression information is slightly angry, the first emotion score is determined to be 1 point; when it is recognized that the driver's facial expression information is moderately angry, the first emotion score is determined to be 2 points; when it is recognized that the driver's facial expression information is strongly angry, the first emotion score is determined to be 3 points.

[0077] S302: Obtain a second emotion score according to the biological information and a preset second emotion determination rule.

[0078] Among them, the biological information may include at least one of the driver's body temperature information and heart rate information. A heart rate sensor may be installed in the steering wheel of the vehicle to monitor the driver's heart rate status in real time. In addition, a body temperature sensor may also be installed in the vehicle to monitor the driver's body temperature.

[0079] In one example, the biometric information may include the driver's body temperature information. When the driver's body temperature decreases or remains unchanged, the second emotion score can be determined to be 0 points; when it is identified that the driver's body temperature increase is below the first temperature threshold, the second emotion score can be determined to be 1 point, and the first temperature threshold can be 0.3°C; when it is identified that the driver's body temperature increase exceeds the first temperature threshold but does not exceed the second temperature threshold, the second emotion score can be determined to be 2 points, and the second temperature threshold can be 0.5°C; when it is identified that the driver's body temperature increase exceeds the second temperature threshold, the second emotion score can be determined to be 3 points.

[0080] In another example, the biometric information may include the driver's heart rate information. When the driver's heart rate is lower than a first heart rate threshold, the second emotion score can be determined to be 0 points, and the first heart rate threshold can be 100 bmp; when it is identified that the driver's heart rate is greater than or equal to the first heart rate threshold and less than the second heart rate threshold, the second emotion score can be determined to be 1 point, and the second heart rate threshold can be 110 bmp; when it is identified that the driver's heart rate is greater than or equal to the second heart rate threshold and less than the third heart rate threshold, the second emotion score can be determined to be 2 points, and the third heart rate threshold can be 120 bmp; when it is identified that the driver's heart rate is greater than or equal to the third heart rate threshold, the second emotion score can be determined to be 3 points.

[0081] Alternatively, the biological information may include the driver's body temperature information and heart rate information at the same time. The cockpit interaction system may determine the score corresponding to the body temperature information and the score corresponding to the heart rate information respectively based on the body temperature information and the heart rate information, and then sum them up to obtain the second emotion score.

[0082] S303: Obtain a third emotion score according to the voice information and a preset third emotion determination rule.

[0083] In the application, the vehicle is also equipped with a sound sensor, which can monitor the driver's voice and send the voice information to the cockpit interaction system, which can recognize the voice content. In one example, when no voice information is detected, the third emotion score can be determined to be 0 points; when voice is detected but there is no preset dirty words in the voice content, the third emotion score can be determined to be 1 point; when voice is detected and there are a small amount of dirty words in the voice content, the third emotion score can be determined to be 2 points; when voice is detected and there are a lot of dirty words in the voice content, the third emotion score can be determined to be 3 points.

[0084] S304: Obtaining a fourth emotion score according to the behavior information and a preset fourth emotion determination rule.

[0085] Specifically, the behavior information refers to the driver's aggressive driving behavior, such as sudden acceleration, sudden deceleration, sharp turns, frequent honking, etc. In one example, when the driver has no aggressive driving behavior, the fourth emotion score may be determined to be 0 points; when the driver has one aggressive driving behavior, the fourth emotion score may be determined to be 1 point; when the driver has two aggressive driving behaviors, the fourth emotion score may be determined to be 2 points; when the driver has three or more aggressive driving behaviors, the fourth emotion score may be determined to be 3 points.

[0086] S305: Obtaining a total emotion score according to at least one of the first emotion score, the second emotion score, the third emotion score, and the fourth emotion score.

[0087] After calculating each emotion score, the first emotion score, the second emotion score, the third emotion score and the fourth emotion score may be summarized to calculate a total emotion score.

[0088] In an exemplary embodiment, the emotion level threshold includes a first threshold, a second threshold, and a third threshold, the candidate road rage levels include no road rage, mild road rage, moderate road rage, and severe road rage, the first threshold is less than the second threshold, and the second threshold is less than the third threshold. Figure 4 , step S202, determining a candidate road rage level according to the total emotion score and a preset emotion level threshold, including steps S401 to S404.

[0089] S401: When the total emotion score is less than a first threshold, determining the candidate road rage level as non-road rage.

[0090] It can be seen from the above example that the total emotion score is positively proportional to the severity of the driver's current road rage emotion. When the total emotion score is less than the first threshold, it indicates that the driver may not have road rage emotion.

[0091] S402: When the total emotion score is greater than or equal to the first threshold and less than the second threshold, determining the candidate road rage level as mild road rage.

[0092] When the total emotion score is greater than or equal to the first threshold and less than the second threshold, it indicates that the driver may have mild road rage. Exemplarily, the first threshold may be 3 points and the second threshold may be 8 points.

[0093] S403: When the total emotion score is greater than or equal to the second threshold and less than the third threshold, determining the candidate road rage level as moderate road rage.

[0094] Among them, the third threshold value can be 13 points. When the total emotion score is between the second threshold value and the third threshold value, it indicates that the driver's current road rage emotion is relatively serious.

[0095] S404: When the total emotion score is greater than or equal to the third threshold, determining the candidate road rage level as severe road rage.

[0096] When the total emotion score is greater than or equal to the third threshold, it indicates that the driver's current road rage is very serious, with continuous aggressive driving behavior, high heart rate, etc. Continuing to drive may cause a serious traffic accident.

[0097] In an exemplary embodiment, the driving environment includes a normal driving environment and a severe driving environment, and the candidate road rage level and the target road rage level both include n levels of road rage, where n>1. Figure 5 , step S104, adjusting the candidate road rage levels according to the driving environment to determine the target road rage level, including steps S501 to S504.

[0098] S501: When the driving environment is a normal driving environment and the candidate road rage level is the i-th level road rage, determining the target road rage level to be the i-1-th level road rage, where 0<i<n.

[0099] Among them, the candidate road rage levels include non-road rage, mild road rage, moderate road rage and severe road rage, among which non-road rage corresponds to level 0 road rage, mild road rage corresponds to level 1 road rage, moderate road rage corresponds to level 2 road rage, and severe road rage corresponds to level 3 road rage.

[0100] When the cockpit interaction system evaluates the current driving environment as a normal driving environment based on the road environment information, it indicates that the driver may be temporarily experiencing road rage due to adverse traffic phenomena such as overtaking and pedestrians running red lights. The road environment will soon return to normal and the driver's emotions will also quickly return to calm. Therefore, the candidate road rage level can be reduced by one level at this time.

[0101] S502: When the driving environment is a severe driving environment and the candidate road rage level is the i-th level road rage, determining the target road rage level to be the i+1-th level road rage.

[0102] When the cockpit interaction system evaluates the current driving environment as a severe driving environment based on the road environment information, it indicates that the driver may be in a traffic environment such as severe road congestion. Since severe road congestion cannot be cleared in time, the driver's road rage level will also escalate and worsen with the duration of road congestion. Therefore, the candidate road rage level can be directly increased by one level at this time.

[0103] S503: When the driving environment is a normal driving environment and the candidate road rage level is level 0 road rage, determining the target road rage level as the candidate road rage level.

[0104] It can be understood that when the driving environment is normal and the driver himself is not in a road rage state, the target road rage is naturally non-road rage.

[0105] S504: When the driving environment is a severe driving environment and the candidate road rage level is the nth road rage level, determining the target road rage level as the candidate road rage level.

[0106] When the driving environment is bad and the driver is in severe road rage, since the candidate road rage level is already the highest level, the target road rage level can only be set to the candidate road rage level.

[0107] In an exemplary embodiment, the target road rage level includes non-road rage, mild road rage, moderate road rage, and severe road rage, and the road rage intervention strategy includes a first intervention strategy, a second intervention strategy, and a third intervention strategy; see Figure 6 , step S105, starting the corresponding road rage intervention strategy according to the target emotion level, including steps S601 to S603.

[0108] S601: When the target road rage level is mild road rage, a first intervention strategy is initiated.

[0109] In the application, the first intervention strategy may include controlling the center console screen to switch to a first preset display style, and / or controlling the ambient light to switch to a preset lighting effect, and / or controlling the multimedia device to play a preset first type of music, and / or controlling the multimedia device to play a first type of prompt voice. In the case of a driver with mild road rage, a soothing atmosphere can be created for the user driver by controlling the center console screen, ambient light and multimedia device to relax the driver. In addition, the multimedia device can output a first type of prompt voice, such as "drive carefully", to remind the driver to pay attention to traffic safety.

[0110] S602: When the target road rage level is moderate road rage, the first intervention strategy and the second intervention strategy are initiated.

[0111] Among them, the second intervention strategy includes controlling the fragrance to release a preset scent, and / or controlling the multimedia device to play a second type of prompt voice.

[0112] In this embodiment, when the driver is in a state of mild road rage, the fragrance can be controlled to release a preset scent to further create a soothing atmosphere, and the multimedia device can be controlled to play a more warning voice, such as "There are thousands of roads, but safety is the first."

[0113] S603: When the target road rage level is severe road rage, a third intervention strategy is initiated.

[0114] Among them, the third intervention strategy includes controlling the vehicle to enter an automatic driving state, and / or controlling the vehicle to automatically pull over to the side of the road, and / or controlling the center console screen to switch to a second preset display style, and / or controlling the multimedia device to play a third type of prompt voice.

[0115] When the driver is in a state of severe road rage, the cockpit interaction state can control the intervention of the assisted driving system, increase the detection accuracy of the body sensor to the highest level, stabilize the body posture, and control the vehicle to enter the automatic driving state under the condition that the vehicle is capable of automatic driving, so as to avoid the driver losing control under excessive emotions and causing traffic accidents. In addition, the cockpit interaction state can also determine whether the current environment of the vehicle meets the conditions for pullover parking. For example, if the vehicle is driving on a highway, it does not meet the conditions for pullover parking. The cockpit interaction state can only be accessed by controlling the assisted driving system, increase the detection accuracy of the body sensor to the highest level, stabilize the body posture, and if the vehicle is driving on a non-congested rural road, the cockpit interaction state can control the vehicle to automatically pull over by controlling the assisted driving system.

[0116] After the driver assistance system intervenes, the center console screen can switch to the second preset display style, which can be a more warning image than the first preset display style, and the multimedia device can play a more warning third type of prompt voice to remind the driver to pay attention to traffic safety. In addition, the multimedia device can also play a guiding voice to guide the driver to take a deep breath, instructing the driver to practice breathing to ease the mood. Alternatively, the multimedia device can also play preset healing music to relax the driver.

[0117] In another embodiment, the road rage regulation method of the present application further includes receiving feedback information from the driver, such as determining whether the driver's road rage has been alleviated based on the driver's physiological behavior information after the road rage intervention strategy is initiated.

[0118] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0119] Based on the same inventive concept, the embodiment of the present application also provides a road rage control device for implementing the road rage control method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the road rage control device provided below can refer to the limitations of the road rage control method above, and will not be repeated here.

[0120] In an exemplary embodiment, see Figure 7 The present application provides a road rage regulation device, which includes: an information acquisition module 701, a first determination module 702, a first evaluation module 703, a second determination module 704 and an intervention module 705.

[0121] The information acquisition module 701 is used to acquire road environment information and driver's physiological behavior information in real time.

[0122] The first determination module 702 is used to determine the candidate road rage levels of the driver according to the physiological behavior information.

[0123] The first evaluation module 703 is used to evaluate the current driving environment according to the road environment information.

[0124] The second determination module 704 is used to adjust the candidate road rage levels according to the driving environment to determine the target road rage level.

[0125] The intervention module 705 is used to initiate a corresponding road rage intervention strategy according to the target emotion level to calm the driver's emotions.

[0126] In one embodiment, the first determination module 702 includes: a first calculation submodule and a first determination submodule.

[0127] The first calculation submodule is used to calculate the total emotion score according to the physiological behavior information and the preset emotion determination rules.

[0128] The first determination submodule is used to determine a candidate road rage level according to the total emotion score and a preset emotion level threshold.

[0129] In one embodiment, the physiological behavior information includes at least one of facial expression information, biological information, voice information and behavior information. The first calculation submodule includes: a first calculation unit, a second calculation unit, a third calculation unit, a fourth calculation unit and a fifth calculation unit.

[0130] The first calculation unit is used to obtain a first emotion score according to the facial expression information and a preset first emotion determination rule.

[0131] The second calculation unit is used to obtain a second emotion score according to the biological information and a preset second emotion determination rule.

[0132] The third calculation unit is used to obtain a third emotion score according to the voice information and a preset third emotion determination rule.

[0133] The fourth calculation unit is used to obtain a fourth emotion score according to the behavior information and a preset fourth emotion determination rule.

[0134] The fifth calculation unit is used to obtain a total emotion score according to at least one of the first emotion score, the second emotion score, the third emotion score, and the fourth emotion score.

[0135] In one embodiment, the emotion level threshold includes a first threshold, a second threshold, and a third threshold, the candidate road rage levels include no road rage, mild road rage, moderate road rage, and severe road rage, the first threshold is less than the second threshold, and the second threshold is less than the third threshold. The first determination submodule includes: a first determination unit, a second determination unit, a third determination unit, and a fourth determination unit.

[0136] The first determining unit is used for determining the candidate road rage level as non-road rage when the total emotion score is less than a first threshold.

[0137] The second determining unit is used to determine that the candidate road rage level is mild road rage when the total emotion score is greater than or equal to the first threshold and less than the second threshold.

[0138] The third determining unit is used to determine that the candidate road rage level is moderate road rage when the total emotion score is greater than or equal to the second threshold and less than the third threshold.

[0139] The fourth determining unit is used to determine that the candidate road rage level is severe road rage when the total emotion score is greater than or equal to a third threshold.

[0140] In one embodiment, the driving environment includes a normal driving environment and a severe driving environment, and the candidate road rage level and the target road rage level both include n levels of road rage, n> 1. The second determination module includes: a second determination submodule, a third determination submodule, a fourth determination submodule, and a fifth determination submodule.

[0141] The second determination submodule is used to determine the target road rage level as the i-1th level of road rage when the driving environment is a normal driving environment and the candidate road rage level is the i-th level of road rage, wherein 0<i<n.

[0142] The third determination submodule is used to determine the target road rage level as the (i+1)th level of road rage when the driving environment is a severe driving environment and the candidate road rage level is the i-th level of road rage.

[0143] The fourth determination submodule is used to determine the target road rage level as the candidate road rage level when the driving environment is a normal driving environment and the candidate road rage level is level 0 road rage.

[0144] The fifth determining submodule is used to determine the target road rage level as the candidate road rage level when the driving environment is a severe driving environment and the candidate road rage level is the nth level of road rage.

[0145] In one embodiment, the target road rage level includes non-road rage, mild road rage, moderate road rage and severe road rage, and the road rage intervention strategy includes a first intervention strategy, a second intervention strategy and a third intervention strategy. The intervention module includes: a first intervention submodule, a second intervention submodule and a third intervention submodule.

[0146] The first intervention submodule is used to start the first intervention strategy when the target road rage level is mild road rage. The first intervention strategy includes controlling the center console screen to switch to a first preset display style, and / or controlling the ambient light to switch to a preset lighting effect, and / or controlling the multimedia device to play a preset first type of music, and / or controlling the multimedia device to play a first type of prompt voice;.

[0147] The second intervention submodule is used to activate the first intervention strategy and the second intervention strategy when the target road rage level is moderate road rage. The second intervention strategy includes controlling the fragrance to release a preset smell and / or controlling the multimedia device to play a second type of prompt voice.

[0148] The third intervention submodule is used to start the third intervention strategy when the target road rage level is severe road rage. The third intervention strategy includes controlling the vehicle to enter the automatic driving state, and / or controlling the vehicle to automatically pull over, and / or controlling the center console screen to switch to the second preset display style, and / or controlling the multimedia device to play the third type of prompt voice.

[0149] Each module in the above-mentioned road rage regulation device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0150] In an exemplary embodiment, the present application provides a computer device including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the road rage regulation method in any of the above embodiments are implemented.

[0151] The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 8As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a road rage regulation method is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0152] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0153] In an exemplary embodiment, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the road rage regulation method in any of the above embodiments are implemented.

[0154] In an exemplary embodiment, the present application provides a computer program product, including a computer program, which implements the steps of the road rage regulation method in any of the above embodiments when the computer program is executed by a processor.

[0155] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0156] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0157] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0158] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for regulating road rage, characterized in that: The method comprises: Obtain road environment information and driver's physiological behavior information; determining a candidate road rage level of the driver based on the physiological behavior information; evaluating the current driving environment according to the road environment information; adjusting the candidate road rage levels according to the driving environment to determine a target road rage level; The corresponding road rage intervention strategy is initiated according to the target road rage level to calm the driver's emotions.

2. The road rage regulation method according to claim 1, characterized in that: The determining the candidate road rage level of the driver according to the physiological behavior information includes: Calculating a total emotion score based on the physiological behavior information and preset emotion determination rules; The candidate road rage level is determined according to the total emotion score and a preset emotion level threshold.

3. The road rage regulation method according to claim 2, characterized in that: The physiological behavior information includes at least one of facial expression information, biological information, voice information and behavior information; The calculating of the total emotion score according to the physiological behavior information and the preset emotion determination rules includes: Acquire a first emotion score according to the facial expression information and a preset first emotion determination rule; Acquire a second emotion score according to the biological information and a preset second emotion determination rule; Obtaining a third emotion score according to the voice information and a preset third emotion determination rule; Obtaining a fourth emotion score according to the behavior information and a preset fourth emotion determination rule; The total emotion score is obtained according to at least one of the first emotion score, the second emotion score, the third emotion score, and the fourth emotion score.

4. The road rage regulation method according to claim 2, characterized in that: The emotion level thresholds include a first threshold, a second threshold, and a third threshold, the candidate road rage levels include no road rage, mild road rage, moderate road rage, and severe road rage, the first threshold is less than the second threshold, and the second threshold is less than the third threshold; The determining the candidate road rage level according to the total emotion score and a preset emotion level threshold comprises: When the total emotion score is less than the first threshold, determining the candidate road rage level as non-road rage; When the total emotion score is greater than or equal to the first threshold value and less than the second threshold value, determining that the candidate road rage level is mild road rage; When the total emotion score is greater than or equal to the second threshold and less than the third threshold, determining that the candidate road rage level is moderate road rage; When the total emotion score is greater than or equal to the third threshold, the candidate road rage level is determined to be severe road rage.

5. The road rage regulation method according to claim 1, characterized in that: The driving environment includes a normal driving environment and a severe driving environment, and the candidate road rage level and the target road rage level both include n levels of road rage, where n>1; The adjusting the candidate road rage levels according to the driving environment to determine a target road rage level includes: When the driving environment is a normal driving environment and the candidate road rage level is the i-th level road rage, determining the target road rage level to be the i-1-th level road rage, wherein 0<i<n; When the driving environment is a severe driving environment and the candidate road rage level is the i-th level of road rage, determining the target road rage level to be the i+1-th level of road rage; When the driving environment is a normal driving environment and the candidate road rage level is level 0, determining the target road rage level to be the candidate road rage level; When the driving environment is a severe driving environment and the candidate road rage level is an nth level of road rage, the target road rage level is determined to be the candidate road rage level.

6. The road rage regulation method according to claim 1, characterized in that: The target road rage levels include non-road rage, mild road rage, moderate road rage and severe road rage, and the road rage intervention strategies include a first intervention strategy, a second intervention strategy and a third intervention strategy; The initiating a corresponding road rage intervention strategy according to the target emotion level includes: When the target road rage level is the mild road rage, a first intervention strategy is initiated; wherein the first intervention strategy includes controlling the center console screen to switch to a first preset display style, and / or controlling the ambient light to switch to a preset lighting effect, and / or controlling the multimedia device to play a preset first type of music, and / or controlling the multimedia device to play a first type of prompt voice; When the target road rage level is the moderate road rage, a first intervention strategy and a second intervention strategy are initiated; wherein the second intervention strategy includes controlling the fragrance to release a preset scent, and / or controlling the multimedia device to play a second type of prompt voice; When the target road rage level is the severe road rage level, a third intervention strategy is initiated; wherein the third intervention strategy includes controlling the vehicle to enter an automatic driving state, and / or controlling the vehicle to automatically pull over to the side of the road, and / or controlling the center console screen to switch to a second preset display style, and / or controlling the multimedia device to play a third type of prompt voice.

7. A road rage regulation device, characterized in that: The device comprises: The information acquisition module is used to obtain road environment information and driver's physiological behavior information in real time. A first determination module, configured to determine a candidate road rage level of the driver according to the physiological behavior information; A first evaluation module, used for evaluating the current driving environment according to the road environment information; a second determination module, configured to adjust the candidate road rage levels according to the driving environment to determine a target road rage level; The intervention module is used to initiate the corresponding road rage intervention strategy according to the target emotion level to calm the driver's emotions.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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