Traffic navigation method, system, electronic device and storage medium

Abstract

Embodiments of the present application relate to the field of information processing, and disclose a traffic navigation method and system, an electronic device and a storage medium. In the present application, after a user determines a navigation route and drives according to the navigation route, whether there is an emergency risk situation in front of the user can be determined by using collected state information of a vehicle along the route, road condition information and weather information. If an emergency risk situation occurs, such as a sudden natural disaster or a traffic accident in front of the user, a reference navigation route can be planned in time, and the reference navigation route is re-planned according to characteristic factors corresponding to the type of the risk situation, so as to improve the feasibility of the reference navigation route and reduce the driving risk.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the field of information processing, and in particular, to a traffic navigation method. BACKGROUND

[0002] The current traffic navigation method needs to calculate the driving scheme between the departure place and the destination in advance before the vehicle drives, generate several alternative schemes for the user to select, and the user selects the driving navigation route and sets off according to the route, and the navigation route is no longer changed, unless the user re-sets and selects the navigation route.

[0003] The inventor finds that at least the following problems exist in the related art: Since the related art does not change the navigation route after the user determines the navigation route and drives according to the navigation route, if an emergency occurs along the line during driving, such as a sudden natural disaster, traffic accident, etc., the related art does not have a response mechanism, and the related art cannot provide a risk avoidance navigation when the vehicle enters the disaster area. SUMMARY

[0004] The purpose of the embodiments of the present application is to provide a traffic navigation method, system, electronic device and storage medium, so that when an emergency occurs along the line during driving after the user determines the navigation route and drives according to the navigation route, such as a sudden natural disaster, traffic accident, etc., a reference navigation route is planned in time in combination with the collected information, so as to reduce the driving risk.

[0005] To solve the above technical problems, the embodiments of the present application provide a traffic navigation method, comprising: collecting target information of a target user located in a preset navigation route area in real time; wherein the target information includes state information of a vehicle, road condition information and weather information; when it is determined that a preset risk situation occurs according to at least one of the target information, at least one reference navigation route is planned in real time according to the target information; in the area range of the reference navigation route, a characteristic factor associated with the current risk situation is obtained; wherein the association relationship between the risk situation and the characteristic factor is set in advance; the reference navigation route is re-planned according to the obtained characteristic factor.

[0006] The embodiment of the present application further provides a traffic navigation system, comprising: a collection module, used for collecting target information of a target user located in a preset navigation route area in real time; wherein the target information comprises state information of a traffic tool, road condition information and weather information; an analysis module, used for planning at least one reference navigation route in real time according to the target information when it is determined that a preset risk situation occurs according to at least one kind of information in the target information; wherein the collection module is further used for acquiring a characteristic factor associated with a current risk situation in the area range of the reference navigation route, and an association relationship between the risk situation and the characteristic factor is preset; and the analysis module is further used for re-planning the reference navigation route according to the acquired characteristic factor.

[0007] The embodiment of the present application further provides an electronic device, comprising: at least one processor; and a memory in communication connection with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the above-mentioned traffic navigation method.

[0008] The embodiment of the present application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the above-mentioned traffic navigation method.

[0009] In the embodiment of the present application, target information of a target user in a preset navigation route area is collected in real time; wherein the target information comprises state information of a traffic tool, road condition information and weather information; at least one reference navigation route is planned according to the target information when it is determined that a preset risk situation occurs according to at least one kind of information in the target information; a characteristic factor associated with a current risk situation is acquired in the area range of the reference navigation route; wherein an association relationship between the risk situation and the characteristic factor is preset; and the reference navigation route is re-planned according to the acquired characteristic factor. After a user determines a navigation route and drives according to the navigation route, it can be determined whether there is an emergency risk situation in front of the user by collecting the state information of the traffic tool, the road condition information and the weather information along the original navigation route, if there is an emergency risk situation, if an emergency risk situation occurs, such as a sudden natural disaster, a traffic accident, etc., a reference navigation route is planned in time, and the reference navigation route is re-planned according to the characteristic factor corresponding to the risk situation type, so as to improve the feasibility of the reference navigation route and reduce the driving risk.

[0010] In addition, the type of the risk situation at least includes natural disasters and traffic accidents; when the type of the risk situation is natural disasters, the associated characteristic factors include the occurrence area and trend of the natural disasters; when the type of the risk situation is traffic accidents, the associated characteristic factors include the traffic congestion probability of the related line. The method of classifying risk situations into different types and associating different types of risk situations with corresponding characteristic factors is proposed; by associating the risk situation with the corresponding characteristic factors, the influencing factors of different risk situations can be personalized, and when the reference navigation route under different risk situations is re-planned according to the characteristic factors, the feasibility of the re-planned reference navigation route can be improved.

[0011] In addition, the determination of the occurrence of the preset risk situation according to at least one information in the target information includes: querying whether there is a risk situation matching the collected target information in a pre-set database for storing risk situations; if the matching risk situation is queried, it is determined that the preset risk situation occurs; the target user is reminded of the current risk situation, and the location of the occurring risk situation is marked in the terminal map of the target user. The preset risk situation is stored in the database, which can conveniently and quickly judge whether the collected target information belongs to a risk situation, and also facilitates the updating and maintenance management of risk situation data; and the target user is informed of the specific situation of the current risk situation in a reminding manner, and the terminal map of the target user is marked, so that the target user can master the occurrence dynamics of the risk situation and actively take measures.

[0012] In addition, the real-time planning of at least one reference navigation route according to the target information includes: pre-setting risk values corresponding to the state information, road condition information and weather information of the vehicle; planning N candidate routes consistent with the destination of the preset navigation route, and collecting the target information in the area of each candidate route in real time; N is an integer greater than 2; obtaining the risk value of each candidate route according to the target information in the area of each candidate route, and obtaining the risk value of the preset navigation route according to the target information in the area of the preset navigation route; selecting a candidate route with a risk value smaller than that of the preset navigation route as the reference navigation route. By pre-setting the risk values corresponding to various information, the risk values of each candidate route can be calculated according to various information collected in real time in each route, and a reference navigation route with a risk value smaller than that of the preset navigation route is selected from each candidate route, so as to provide a navigation route with smaller risk for the target user and reduce the risk of user travel.

[0013] In addition, the re-planning of the reference navigation route according to the obtained characteristic factors comprises: predicting the passable probability of the reference navigation route according to the obtained characteristic factors, and re-planning the navigation route according to the prediction result. The passable probability of the reference navigation route can be predicted according to the characteristic factors, and the navigation route with high passable probability can be selected, so as to reduce the risk of low feasibility of the navigation route.

[0014] In addition, a risk-avoiding place of the target user located in the navigation route area is determined, a navigation route for evacuation is determined based on the risk-avoiding place information, the target information and the characteristic factors associated with the current occurring risk situation, and the risk-avoiding place is determined according to at least one of the evacuation site information and the geographic environment information in the navigation route area. The determination of the risk-avoiding place and the route is more in line with the actual situation, and the probability of successful risk avoidance is improved.

[0015] In addition, after the determination of the occurrence of the preset risk situation, the method further comprises: sending real-time warning information to the target user. After the determination of the occurrence of the preset risk situation in the preset navigation route area, the distance between the risk situation and the risk area, whether the traffic tool enters the risk area and the like are taken as the real-time warning information sent to the target user, so that the target user can know the driving situation, and it is convenient to take active measures. BRIEF DESCRIPTION OF DRAWINGS

[0016] One or more embodiments are illustrated by way of example in the figures that are part of this document, and which illustrate by way of example the principles of the embodiments. The embodiments are not limited to the examples of the drawings. In the drawings, like reference numbers refer to like elements, unless otherwise indicated, and the figures are not necessarily to scale.

[0017] Figure 1 is a flowchart of a traffic navigation method according to an embodiment of the present application;

[0018] Figure 2 is a flowchart of a traffic navigation method according to an embodiment of the present application;

[0019] Figure 3 is a structural schematic diagram of a traffic navigation system according to an embodiment of the present application. DETAILED DESCRIPTION

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the various embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details are presented in the various embodiments of the present invention to facilitate a better understanding of this application. However, the technical solutions claimed in this application can be implemented even without these technical details and various changes and modifications based on the following embodiments. The division of the various embodiments below is for ease of description and should not constitute any limitation on the specific implementation of the present invention. The various embodiments can be combined with and referenced by each other without contradiction.

[0021] One embodiment of the present invention relates to a traffic navigation method, which can be applied to terminal devices such as mobile phones and in-vehicle navigation systems, as well as navigation dispatch centers. In this embodiment, target information of a target user located within a preset navigation route area is collected in real time. This target information includes: vehicle status information, road condition information, and weather information. When a preset risk situation is determined based on at least one piece of information in the target information, at least one reference navigation route is planned based on the target information. Within the area of ​​the reference navigation route, characteristic factors associated with the currently occurring risk situation are acquired. The association between the risk situation and the characteristic factors is pre-set. The reference navigation route is then replanned based on the acquired characteristic factors. This allows for timely planning of a reference navigation route after the user determines and follows the navigation route. During the journey, if an emergency occurs along the route, such as a sudden natural disaster or traffic accident, a reference navigation route can be planned promptly. Furthermore, the characteristic factors corresponding to the risk situation are considered in the replanning of the reference navigation route, further reducing driving risks. The implementation details of this traffic navigation method are described below. These details are provided for ease of understanding and are not essential for implementing this solution.

[0022] like Figure 1 As shown, in step S1, target information of the target user located within the preset navigation route area is collected in real time; wherein, the target information includes: vehicle status information, road condition information and weather information.

[0023] When the executing entity of the traffic navigation method involved in this invention is a terminal device such as a mobile phone or in-vehicle navigation system, the target users include, but are not limited to, users using this terminal device; when the executing entity of the traffic navigation method involved in this invention is a navigation dispatch center, the target users include, but are not limited to, users accessing this navigation dispatch center. This embodiment takes an in-vehicle navigation system as an example.

[0024] In one example, the target user sets a preset navigation route and drives according to the preset navigation route, and the vehicle-mounted navigation device collects the state information, road condition information and weather information of all vehicles in the area of the preset navigation route in real time while driving. The preset navigation route can be a navigation route to a destination set by the target user in advance, and the preset navigation route area can be an area containing a certain area along the preset navigation route, and the size of the area can be adjusted adaptively according to the actual situation, for example, when the road condition along the preset navigation route is complex, the area is adjusted to be larger, so that the collected target information can more completely reflect the situation in the area.

[0025] Specifically, the vehicle-mounted navigation device is connected to the Internet of Vehicles platform through the network and obtains the state information of the vehicle from the Internet of Vehicles platform, wherein the state information of the vehicle includes one or any combination of the following: vehicle hardware state, vehicle running state, and vehicle endurance state; wherein the vehicle hardware state is used to determine whether the vehicle has a hardware failure or a hardware anomaly, such as a tire pressure loss, an abnormal engine stall, an airbag deployment, etc.; wherein the vehicle running state is used to supplement the judgment of the road condition information when the vehicle does not have a hardware failure or a hardware anomaly, such as normal speed running, slow speed running, stopping, etc.; and wherein the vehicle endurance state is used to determine whether the vehicle can successfully complete the navigation journey in combination with the navigation distance. By obtaining the state information of the vehicle in multiple aspects, the information can be analyzed and navigated more comprehensively and quickly and conveniently.

[0026] Specifically, the vehicle-mounted navigation device is connected to the cloud platform through the network and obtains the weather information from the cloud platform, such as the location and level information of meteorological disasters such as fire, flood, rain, snow, hail, mudslide, and landslide. Obtaining the weather information from the cloud platform can improve the speed and convenience of information acquisition.

[0027] Specifically, the vehicle-mounted navigation and monitoring device is connected through a network, and obtains road condition information by combining information obtained from the monitoring device and vehicle state information, i.e., when a monitoring device is normal for a certain road section, road condition information is directly obtained from the monitoring device, and when a monitoring device is missing or fails for a certain road section, the running state of a vehicle passing through the road section in a recent period of time is obtained, and whether the road section can be normally driven is determined according to the running state of the vehicle, such as when the running state of the vehicle passing through the road section in the recent period of time is mostly normal speed running, it is determined that the road section can be normally driven, and when the running state of the vehicle passing through the road section in the recent period of time is mostly slow speed running or mostly in a stop state, it is determined that the road condition of the road section can be abnormal and cannot be normally driven. The road condition information is obtained by the monitoring device in combination with the state information of the vehicle, so that whether a preset risk situation occurs for a road section can be determined according to the state information of the vehicle on the road section when the monitoring device is missing for the road section, and more comprehensive collection of road condition information is realized.

[0028] In one example, in a database pre-set for storing risk situations, whether a risk situation matching the collected target information exists is queried; if a matching risk situation is queried, it is determined that a preset risk situation occurs.

[0029] Specifically, a database for storing various risk situations is pre-set, the database can contain various risk situations and corresponding levels, when target information is collected, whether a risk situation matching the collected target information exists in the database is queried; for example, data stored in the database can be: "hail, >= 2 levels", data of the collected target information can contain "hail, 1 level", whether risk situation data matching "hail, 1 level" exists in the database is queried, at this time, the query result is a matching failure, which indicates that the collected target information does not belong to a risk situation, data of the collected target information can contain "hail, 3 levels", whether risk situation data matching "hail, 3 levels" exists in the database is queried, at this time, the query result is a matching success, which indicates that the collected target information belongs to a risk situation, and it is determined that a preset risk situation occurs. The risk situation data is stored through the database, which facilitates self-definition of the conditions of the risk situation, and also facilitates quick query and update and maintenance.

[0030] In one example, a target user is reminded of a currently occurring risk situation, and a location of the occurring risk situation is marked in a terminal map of the target user.

[0031] Specifically, the target user is reminded of the risk situation, such as the type, level, specific situation, and location of the risk situation, for example, when it is known from the collected weather information and the state information of the vehicle that there is a heavy rain ahead and a vehicle rollover, the target user is prompted that "your navigation route passes through a heavy rain area, and X vehicles have rolled over in this area", and the location of the risk situation can be marked on the terminal map of the target user. The target user can quickly grasp the sudden risk situation, and provide a decision basis for the target user to decide whether to continue the original navigation route, that is, the preset navigation route, or to select a reference navigation route for driving, and also facilitate the target user to take other measures according to the occurrence of the risk situation.

[0032] In step S2, when it is determined that the preset risk situation occurs according to at least one information in the target information, at least one reference navigation route is planned in real time according to the target information.

[0033] Specifically, when it is determined that the preset risk situation occurs according to the matching result of the query in the risk situation database according to at least one information in the collected target information, at least one reference navigation route is planned in real time according to the collected state information of the vehicle, road condition information, and weather information.

[0034] In one example, as shown in FIG. 2, in step S2-101, the risk values corresponding to the state information of the vehicle, the road condition information, and the weather information are preset. Figure 2

[0035] Specifically, the risk values corresponding to the target information that can be collected are preset, that is, the risk values of various state information of the vehicle, road condition information, and weather information, for example, the risk value corresponding to "flood, level 4" is set to 7, and the risk value corresponding to "flood, level 1" is set to 10. The risk value can also be multiplied by an appropriate weight according to the influence degree of different types of risk situations on the driving of the vehicle to achieve more accurate risk calculation.

[0036] In one example, in step S2-102, N candidate routes consistent with the destination of the preset navigation route are planned, and the target information in the area of each candidate route is collected in real time; N is an integer greater than 2.

[0037] Specifically, when the risk situation occurs in the area of the preset navigation route of the target user, N candidate routes can be planned with the current position of the target user as the starting point and the destination of the preset navigation route as the ending point, N is an integer greater than 2, and the target information in the area of each candidate route is collected in real time. The target information is information including but not limited to the following information: state information of the vehicle, road condition information, and weather information. ​

[0038] In one example, step S2-103, the risk value of each alternative route is obtained according to the target information in the area of each alternative route, and the risk value of the preset navigation route is obtained according to the target information in the area of the preset navigation route.

[0039] Specifically, the risk value of each alternative route is calculated according to all the target information collected in the area of each alternative route, including but not limited to the state information of the vehicle, the road condition information and the weather information; and the risk value of the preset navigation route is calculated according to the target information in the area of the preset navigation route, including but not limited to the state information of the vehicle, the road condition information and the weather information; wherein the calculation method includes but is not limited to simple superposition of the risk values corresponding to the information collected in each route.

[0040] In one example, step S2-104, the alternative route with a risk value less than that of the preset navigation route is selected as the reference navigation route.

[0041] By setting the risk value of each target information collected, when a risk situation occurs in the preset navigation route, a reference navigation route with the same destination and smaller risk value can be planned according to the risk value of each target information, so as to reduce the travel risk under the condition that the destination does not change.

[0042] In step S3, within the area range of the reference navigation route, the characteristic factor associated with the current risk situation is obtained; wherein the association between the risk situation and the characteristic factor is pre-set.

[0043] In one example, the type of risk situation includes at least natural disasters and traffic accidents; when the type of risk situation is natural disasters, the associated characteristic factors include the occurrence area and trend of natural disasters; when the type of risk situation is traffic accidents, the associated characteristic factors include the traffic congestion probability of the related route.

[0044] Specifically, the correlation between the risk situation and the characteristic factor is preset, and the risk situation is classified, such as natural disasters and traffic accidents. When the type of the risk situation is a natural disaster, the associated characteristic factors include the current occurrence area and trend of the natural disaster. For example, when the risk situation is a flood, the associated characteristic factors are the current occurrence area and flow direction and speed of the flood, wherein the current occurrence area and flow direction and speed of the flood can be determined according to meteorological disaster information published by a cloud platform. For another example, when the risk situation is a fire, the associated characteristic factors are the current occurrence area and diffusion direction and speed of the fire, wherein the current occurrence area of the fire can be determined according to a heat map obtained from collected meteorological information, and the diffusion direction and speed can be determined according to wind direction and wind grade obtained from the collected meteorological information. When the type of the risk situation is a traffic accident, the associated characteristic factors can include the traffic congestion probability of the relevant line. For example, when a traffic accident occurs on a line, it is possible to cause traffic congestion on the line, and the congestion can cause a chain reaction, such as causing congestion on other relevant lines. The congestion probability can be obtained according to historical data of relevant line-associated congestion. After the reference navigation route is planned, the characteristic factors associated with the current risk situation are obtained in the area range of the reference navigation route.

[0045] In step S4, the reference navigation route is re-planned according to the obtained characteristic factors.

[0046] Specifically, after the characteristic factors are obtained, the reference navigation route is re-planned in combination with the characteristic factors, the feasibility of the navigation route is improved through comprehensive consideration of multiple factors, and the driving risk is reduced.

[0047] In one example, the reference navigation route is re-planned according to the prediction of the unblocking probability of the reference navigation route according to the obtained characteristic factors.

[0048] Specifically, the probability of each reference navigation route being unblocked is predicted according to characteristic factors, for example, when a flood occurs, the distance between the current flood area and each reference navigation route, the flow direction and flow rate of the flood are used to predict whether each reference navigation route will be affected by the flood in the coming time period, and thus the probability of each navigation route being unblocked in each time period is obtained; for another example, when a fire occurs, the distance between the current fire area and each reference navigation route, the spread direction and spread rate of the fire are used to predict whether each reference navigation route will be affected by the fire in the coming time period, and thus the probability of each navigation route being unblocked in each time period is obtained; for another example, when a traffic accident occurs, the intersection relationship and substitution relationship of each relevant route, and historical data of other routes being blocked when a certain route is blocked are used to predict the probability of each reference navigation route being unblocked; the prediction result is used to re-plan a navigation route.

[0049] In one example, a refuge location of a target user located in the navigation route area is determined; a navigation route for evacuation is determined based on the refuge location information, the target information, and characteristic factors associated with the current occurring risk situation; wherein the refuge location is determined according to at least one of refuge site information and geographical environment information in the navigation route area.

[0050] Specifically, when the target user does not select the reference navigation route, but travels according to the preset navigation route, that is, the original navigation route, it means that the target user will be closer and closer to the detected risk situation, and the distance between the target user and the place where the preset risk situation occurs, such as the straight-line distance or the route distance, can be calculated in real time. In the case where the distance is less than the first preset distance value, such as when the distance is less than 500 meters, it is determined that the target user has entered the risk area. After the target user is in the risk area, the risk avoidance point of the target user in the navigation route area can be determined, and the risk avoidance point is determined according to at least one of the refuge site information and the geographic environment information in the navigation route area. For example, the determination of the risk avoidance point needs to meet the following conditions at the same time: the reachable refuge site existing in the navigation route area is taken as the risk avoidance point, or when there is no reachable refuge site in the navigation route area, a place that can avoid the risk situation and can be reached is selected as the risk avoidance point according to the collected geographic environment information in the area, such as when there is a flood and there is no reachable refuge site, a reachable high point is selected as the risk avoidance point; the standard of reachability can include but is not limited to that the current endurance state of the vehicle is sufficient to reach the determined risk avoidance point, and the risk value of the route is within the preset threshold, so that the vehicle can pass. Finally, the risk avoidance point information is taken as the destination, and the navigation route for evacuation is determined in combination with the target information and the characteristic factors associated with the currently occurring risk situation. The determination of the navigation route is similar to the above-mentioned re-planning method of the reference navigation route, which will not be described here. Measuring and limiting the risk area is equivalent to adding a buffer area to the place where the risk situation occurs, so as to facilitate the target user to have a buffer time to take other coping methods after entering the risk area. Through comprehensive information collection and information combination decision-making, the intelligent selection of the evacuation navigation route can improve the success rate of evacuation and escape from the risk, and realize effective self-rescue. At the same time, the vehicle state information in the risk area can be sent to the relevant departments when rescue is needed, helping to understand the disaster situation in the area, so that the rescue action can be carried out more carefully, avoiding secondary injuries caused by rescue personnel or related personnel who do not understand the dangerous area, and reducing the rescue pressure.

[0051] In one example, after determining that the preset risk situation occurs, real-time warning information is sent to the target user.

[0052] Specifically, after determining that the preset risk situation occurs, real-time warning information is sent to the target user, and the content of the real-time warning information includes but is not limited to: the type, level, position, distance from the target user, whether the target user is already in the risk area, and reminding the user to drive carefully of the risk situation; for example, when the distance from the risk area is 500 meters, the prompt is: "Please drive carefully in the accident area ahead", or after the user arrives at the risk area, the prompt is: "You are currently in a risk area, there is an XX natural disaster (or accident area) here, if you cannot proceed and the disaster is serious, you can choose the following route to drive away from the area". The target user includes but is not limited to the user who goes to or passes through the risk area. The target user can have a clear understanding of the situation of the risk situation that occurs, and the target user can make psychological preparation, decision whether to avoid going to the risk area or take other measures.

[0053] In the embodiment, the target information in the area of the preset navigation route of the target user is collected in real time; wherein the target information includes: the state information of the vehicle, the road condition information and the weather information; when it is determined that the preset risk situation occurs according to at least one of the target information, at least one reference navigation route is planned in real time according to the target information; in the area range of the reference navigation route, the characteristic factor associated with the current risk situation is obtained; wherein the association between the risk situation and the characteristic factor is set in advance; the reference navigation route is re-planned according to the obtained characteristic factor. After the user determines the navigation route and drives according to the navigation route, the state information of the vehicle, the road condition information and the weather information collected along the line can be used to determine whether there is an emergency risk situation in front. If an emergency risk situation occurs, such as a sudden natural disaster, a traffic accident, etc., a reference navigation route is planned in time, and the reference navigation route is re-planned according to the characteristic factor corresponding to the type of the risk situation, so as to improve the feasibility of the reference navigation route and reduce the driving risk.

[0054] The steps of the above method are only for clear description, and can be combined into one step or split into multiple steps by splitting some steps, as long as the same logical relationship is included, and all are within the protection scope of the patent; adding insignificant modifications or introducing insignificant designs in the algorithm or process, but not changing the core design of the algorithm and process are within the protection scope of the patent.

[0055] Another embodiment of the application relates to a traffic navigation system, such as Figure 3As shown, comprising: a collection module 1, configured to collect target information of a target user located in a preset navigation route area in real time; wherein the target information comprises state information of a vehicle, road condition information and weather information; the collection module 1 is further configured to obtain a characteristic factor associated with a current risk situation in the area range of the reference navigation route, and the association between the risk situation and the characteristic factor is pre-set; an analysis module 2, configured to plan at least one reference navigation route according to the target information when it is determined that a preset risk situation occurs according to at least one information in the target information; the analysis module 2 is further configured to re-plan the reference navigation route according to the obtained characteristic factor.

[0056] In the embodiment, by providing a traffic navigation device, target information of a target user in a preset navigation route area is collected in real time; wherein the target information comprises state information of a vehicle, road condition information and weather information; at least one reference navigation route is planned in real time according to the target information when it is determined that a preset risk situation occurs according to at least one information in the target information; a characteristic factor associated with a current risk situation is obtained in the area range of the reference navigation route; wherein the association between the risk situation and the characteristic factor is pre-set; the reference navigation route is re-planned according to the obtained characteristic factor. After the user determines the navigation route and drives according to the navigation route, it can be determined whether there is an emergency risk situation in front of the vehicle by collecting the state information of the vehicle, the road condition information and the weather information along the route. If an emergency risk situation occurs, such as a sudden natural disaster or a traffic accident in front of the vehicle, a reference navigation route is planned in time, and the reference navigation route is re-planned according to the characteristic factor corresponding to the type of risk situation, so as to improve the feasibility of the reference navigation route and reduce the driving risk.

[0057] It is not difficult to find that the present embodiment is a device embodiment corresponding to the above-mentioned method embodiment, and the present embodiment can be implemented in cooperation with the above-mentioned method embodiment. The related technical details mentioned in the above-mentioned method embodiment are still valid in the present embodiment. In order to reduce repetition, they will not be described here. Correspondingly, the related technical details mentioned in the present embodiment can also be applied in the above-mentioned method embodiment.

[0058] It is worth mentioning that each module involved in the present embodiment is a logical module. In actual application, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of the present application, units not closely related to solving the technical problems proposed by the present application are not introduced in the present embodiment, but this does not mean that there are no other units in the present embodiment.

[0059] Another embodiment of the present application relates to an electronic device, comprising at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the traffic navigation method as above.

[0060] The memory and the processor are connected by a bus in a bus mode, the bus can include any number of interconnected buses and bridges, and the bus connects various circuits of the one or more processors and the memory together. The bus can also connect various other circuits such as peripheral devices, voltage stabilizers and power management circuits, which are well known in the art, and thus, further description thereof will not be given herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, which provide a unit for communicating with various other devices on a transmission medium. The data processed by the processor is transmitted on a wireless medium through the antenna, and further, the antenna also receives data and transmits the data to the processor.

[0061] The processor is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interface, voltage regulation, power management and other control functions. The memory can be used to store data used by the processor in performing operations.

[0062] Another embodiment of the present application relates to a computer readable storage medium, which stores a computer program. The computer program is executed by the processor to implement the method embodiments described above.

[0063] That is, those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by programs instructing related hardware, the programs are stored in a storage medium, and the programs include a plurality of instructions for causing a device (which can be a single-chip microcomputer, a chip, etc.) or a processor to execute all or part of the steps of the method described in various embodiments of the present application. The foregoing storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0064] Those skilled in the art can understand that the above-mentioned embodiments are specific embodiments for implementing the present application, and in actual applications, various changes can be made in form and details without departing from the spirit and scope of the present application.

Claims

1. A traffic navigation method, characterized in that, The method includes: Real-time collection of target information of the target user within the preset navigation route area; wherein, the target information includes: vehicle status information, road condition information and weather information; When a preset risk situation is determined to occur based on at least one of the target information, at least one reference navigation route is planned based on the target information. Within the area of ​​the reference navigation route, characteristic factors associated with the currently occurring risk situation are obtained; wherein, the association between the risk situation and the characteristic factors is preset. The probability of the reference navigation route being cleared is predicted based on the acquired feature factors, specifically: When the preset risk scenario is flood, the distance between the current flood occurrence area and each reference navigation route, as well as the direction and speed of the flood, are used to predict whether each reference navigation route will be affected by the flood in the upcoming time period, thereby obtaining the dredging probability of each navigation route in each time period. When the preset risk scenario is a fire, the distance between the current fire location and each reference navigation route, as well as the direction and speed of fire spread, are used to predict whether each reference navigation route will be affected by the fire in the upcoming time period, thereby obtaining the dredging probability of each navigation route in each time period. When the preset risk scenario is a traffic accident, the probability of clearing the traffic on each reference navigation route is predicted based on the intersection and substitution relationships of each relevant route and historical data on how a blockage on one route causes blockages on other routes. The predicted dredging probability is used to replan the navigation route.

2. The method according to claim 1, characterized in that, The types of risk scenarios include at least natural disasters and traffic accidents; When the type of risk situation is a natural disaster, the associated characteristic factors include: the occurrence area and trend of the natural disaster; When the type of risk situation is a traffic accident, the associated characteristic factors include: the probability of traffic congestion on the relevant route.

3. The method according to claim 1, characterized in that, The step of determining the occurrence of a preset risk situation based on at least one piece of information in the target information includes: In a pre-set database for storing risk scenarios, query whether there are any risk scenarios that match the collected target information; If the matched risk scenario is found, it is determined that a preset risk scenario has occurred; The system alerts the target user to the current risk situation and marks the location of the risk situation on the target user's terminal map.

4. The method according to claim 1, characterized in that, The step of planning at least one reference navigation route in real time based on the target information includes: Risk values ​​corresponding to the status information, road condition information, and weather information of the aforementioned vehicles are preset; Plan N alternative routes that have the same destination as the preset navigation route, and collect the target information in the area of ​​each alternative route in real time; where N is an integer greater than 2. Based on the target information within each of the candidate route areas, obtain the risk value of each candidate route, and based on the target information within the preset navigation route area, obtain the risk value of the preset navigation route; Select an alternative route with a risk value lower than the preset navigation route as the reference navigation route.

5. The method according to any one of claims 1 to 4, characterized in that, Also includes: Identify the target user's safe haven location within the navigation route area; A navigation route for evacuation is determined based on the evacuation location information, the target information, and the characteristic factors associated with the current risk situation; wherein the evacuation location is determined based on at least one of the evacuation site information and geographical environment information within the navigation route area.

6. The method according to claim 5, characterized in that, After determining that a preset risk situation has occurred, the method further includes: sending real-time warning information to the target user.

7. A traffic navigation system, characterized in that, The system includes: The data acquisition module is used to collect target information of the target user within the preset navigation route area in real time; wherein, the target information includes: vehicle status information, road condition information and weather information; The analysis module is used to plan at least one reference navigation route based on the target information when a preset risk situation is determined to occur based on at least one of the target information. The acquisition module is further configured to acquire characteristic factors associated with the currently occurring risk situation within the area of ​​the reference navigation route, wherein the association between the risk situation and the characteristic factors is preset; the analysis module is further configured to predict the probability of the reference navigation route being cleared based on the acquired characteristic factors, specifically: When the preset risk scenario is flood, the distance between the current flood occurrence area and each reference navigation route, as well as the direction and speed of the flood, are used to predict whether each reference navigation route will be affected by the flood in the upcoming time period, thereby obtaining the dredging probability of each navigation route in each time period. When the preset risk scenario is a fire, the distance between the current fire location and each reference navigation route, as well as the direction and speed of fire spread, are used to predict whether each reference navigation route will be affected by the fire in the upcoming time period, thereby obtaining the dredging probability of each navigation route in each time period. When the preset risk scenario is a traffic accident, the probability of clearing the traffic on each reference navigation route is predicted based on the intersection and substitution relationships of each relevant route and historical data on how a blockage on one route causes blockages on other routes. The predicted dredging probability is used to replan the navigation route.

8. An electronic device, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the traffic navigation method as described in any one of claims 1-6.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the traffic navigation method according to any one of claims 1 to 6.

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