Traffic accident management method and device, terminal and storage medium

Abstract

The invention provides a traffic accident management method and device, a terminal and a storage medium, and the method comprises the steps: receiving an unmanned plane control instruction, controlling an unmanned plane to carry out the information collection of an accident scene, and obtaining the image information and congestion information of the accident scene; determining a responsibility judgment result based on the accident scene image information, wherein the responsibility judgment result comprises a responsibility party of the traffic accident; calculating congestion fees according to the congestion information; and based on a pre-deployed third-party payment interface, the responsible party pays the congestion fee. According to the invention, non-major traffic accidents can be quickly handled through on-site evidence collection and online judgment of the unmanned aerial vehicle, traffic congestion is reduced, the accident handling efficiency is improved, congestion fees are collected for traffic accident liability parties, and the travel safety is further improved.

Description

Technical Field

[0001] The present invention relates to the field of traffic technology, and in particular to a traffic accident management method, device, terminal and storage medium. Background Art

[0002] When a traffic accident occurs, the parties involved in the accident need to report the case, the traffic police will rush to the scene of the accident, and then the traffic police will manually take photos of the accident scene and upload them to the system, and manually upload the ID photo of the accident vehicle and the driver. Finally, the traffic police will log in to the traffic accident handling platform through the APP and submit the handling results. Therefore, the current traffic accident handling is still mainly manual, which is inefficient, time-consuming, and causes serious traffic congestion.

[0003] Therefore, the prior art has defects and needs to be improved and developed. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a traffic accident management method, device, terminal and storage medium in view of the above-mentioned defects of the prior art, aiming to solve the problem that traffic accident handling in the prior art is still mainly manual, inefficient, time-consuming and causes serious traffic congestion.

[0005] The technical solution adopted by the present invention to solve the technical problem is as follows:

[0006] A traffic accident management method, wherein the method comprises:

[0007] Receive UAV control instructions, control the UAV to collect information at the accident scene, and obtain image information and congestion information of the accident scene;

[0008] Determine a responsibility determination result based on the accident scene image information, wherein the responsibility determination result includes the responsible party for the traffic accident;

[0009] Calculating congestion fees based on the congestion information;

[0010] Based on a pre-deployed third-party payment interface, the responsible party pays the congestion fee.

[0011] In one embodiment of the present application, the accident scene image information includes: accident vehicle image information, accident location image information and accident road image information.

[0012] In one embodiment of the present application, the congestion information includes: the number of congested vehicles and the congestion duration; and the congestion fee is calculated according to the congestion information, including:

[0013] The preset waiting time rate is obtained, and the product of the congestion duration, the number of congested vehicles and the preset waiting time rate is calculated to obtain the congestion fee.

[0014] In one embodiment of the present application, based on a pre-deployed third-party payment interface, the responsible party pays the congestion fee, including:

[0015] Receive the driver's license and vehicle registration certificate uploaded by the responsible party after logging into the target APP or target mini program, and determine the license plate number of the accident vehicle corresponding to the responsible party;

[0016] Matching the driver's license, the vehicle registration certificate and the license plate number of the accident vehicle;

[0017] If the match is successful, the responsible party will pay the congestion fee on the target APP or target mini program based on the pre-deployed third-party payment interface.

[0018] In one embodiment of the present application, after the responsible party pays the congestion fee based on a pre-deployed third-party payment interface, the method further includes:

[0019] Generate traffic accident information based on the accident scene image information, and generate processing result information based on the responsibility determination result and the congestion fee;

[0020] The traffic accident information and the processing result information are released.

[0021] In one embodiment of the present application, the traffic accident management method further includes:

[0022] Using the accident scene image information and the liability determination result as insurance claim evidence;

[0023] Based on the pre-deployed insurance platform interface, the insurance claim evidence is sent to the insurance platform.

[0024] In one embodiment of the present application, the traffic accident management method further includes:

[0025] generating traffic condition information of the accident scene according to the image information of the accident scene;

[0026] Based on the pre-deployed urban traffic platform interface, the traffic condition information at the accident site is sent to the urban traffic platform.

[0027] The present application also provides a traffic accident management device, wherein the device comprises:

[0028] The information acquisition module is used to receive the UAV control command, control the UAV to collect information at the accident scene, and obtain the image information and congestion information of the accident scene;

[0029] A responsibility determination module, used to determine a responsibility determination result based on the accident scene image information, wherein the responsibility determination result includes the responsible party of the traffic accident;

[0030] A fee calculation module, used for calculating congestion fees according to the congestion information;

[0031] A fee payment module is used to allow the responsible party to pay the congestion fee based on a pre-deployed third-party payment interface.

[0032] The present application also provides a terminal, which includes: a memory, a processor, and a traffic accident management program stored in the memory and executable on the processor, wherein the traffic accident management program implements the steps of the traffic accident management method described above when executed by the processor.

[0033] The present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program can be executed to implement the steps of the traffic accident management method as described above.

[0034] The present invention provides a traffic accident management method, device, terminal and storage medium, the traffic accident management method comprising: receiving drone control instructions, controlling the drone to collect information at the accident scene, obtaining image information and congestion information at the accident scene; determining the responsibility determination result based on the image information at the accident scene, the responsibility determination result including the responsible party of the traffic accident; calculating the congestion fee according to the congestion information; based on the pre-deployed third-party payment interface, providing the responsible party with payment of the congestion fee. The present invention can quickly handle non-major traffic accidents through drone on-site evidence collection and online judgment, reduce traffic congestion, improve accident handling efficiency, and collect congestion fees from the responsible party of the traffic accident, thereby improving travel safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a flow chart of a preferred embodiment of the traffic accident management method of the present invention;

[0036] Figure 2 It is a system structure block diagram of a preferred embodiment of the traffic accident management method of the present invention;

[0037] Figure 3 It is a functional principle block diagram of a preferred embodiment of the traffic accident management device of the present invention;

[0038] Figure 4 It is a functional principle block diagram of a preferred embodiment of the terminal in the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0040] For the existing traffic accident management, the traffic police need to go to the scene to handle it, which greatly increases the traffic jam time, seriously affects travel efficiency, and increases automobile exhaust emissions; because the congestion fee is not levied on the party responsible for the accident, it does not play a role in reducing the traffic accident rate. In addition, non-serious traffic accidents also require the traffic police to go to the scene to handle, which greatly reduces the work efficiency of the traffic police; due to the slow handling of traffic accidents and long traffic jams, the anxiety of the drivers of the blocked vehicles is increased, which is easy to increase scratch accidents, resulting in an increase in the probability of accidents.

[0041] See also Figure 1 , Figure 1 Flowchart of the traffic accident management method in the present invention. Figure 1 As shown, the traffic accident management method described in the embodiment of the present invention includes:

[0042] Step S100: receiving a drone control instruction, controlling the drone to collect information at the accident scene, and obtaining image information and congestion information of the accident scene.

[0043] Specifically, the embodiment of the present application uses a drone to collect evidence, without the need for traffic police to go to the scene to handle it. Drone evidence collection mainly obtains photos and videos of the scene and obtains relevant data. In one embodiment, Figure 2 As shown in the figure, the traffic police client can control the drone. The traffic police client receives the drone control instructions issued by the traffic police, controls the drone to collect information at the accident scene, and obtains image information and congestion information at the accident scene. It should be noted that the drone should be started in a safe area, and its takeoff should be controlled by the remote control or ground station system. According to the specific situation of the accident scene, the flight route and altitude should be planned to ensure that the drone can capture the accident scene comprehensively and clearly. The high-definition camera carried by the drone can be used to conduct all-round and high-definition aerial photography of the accident scene. When shooting, pay attention to capturing important information such as the location of the accident vehicle, collision marks, and scattered objects. Infrared thermal imaging cameras can also be used to monitor the heat distribution at the accident scene to find possible fire sources or fire hazards.

[0044] In this way, the drone can reach the scene of the accident quickly without being restricted by ground traffic conditions, greatly shortening the response time. The image information of the accident scene taken by the drone can comprehensively and accurately record the situation at the accident scene, providing rich and intuitive evidence for subsequent liability determination.

[0045] The embodiments of the present application use drones to collect evidence on site and make online judgments to quickly handle non-major traffic accidents, thereby reducing traffic congestion, reducing automobile exhaust emissions, and reducing the occurrence of secondary accidents.

[0046] In an embodiment of the present application, the accident scene image information includes: accident vehicle image information, accident location image information and accident road image information.

[0047] Specifically, the accident vehicle image information includes photos and videos of the accident vehicle at the accident scene, the accident location image information includes photos and videos of the accident location, and the accident road image information includes photos and videos of the accident road.

[0048] The embodiment of the present application collects image information of the accident vehicle, image information of the accident location and image information of the accident road, and then analyzes the specific process and cause of the accident, so as to more accurately determine the responsible party.

[0049] like Figure 1 As shown, the traffic accident management method described in this embodiment also includes:

[0050] Step S200: determining a responsibility determination result based on the accident scene image information, wherein the responsibility determination result includes the responsible party for the traffic accident.

[0051] The traffic police client can determine the responsibility determination result based on the accident scene image information, that is, determine the responsibility of the traffic accident, and communicate and inform the driver of the accident vehicle at the same time. Specifically, based on image recognition technology, the position, direction and posture of the vehicle in each image in the accident scene image information can be identified, and whether there is illegal parking, reverse driving, etc. can be determined to preliminarily determine whether the vehicle complies with traffic rules. Identify the traces of vehicle collision in each image in the accident scene image information, including the collision site, collision force, etc., and infer the vehicle's driving trajectory and speed at the time of the accident, as well as the severity of the collision. Identify the road signs, markings and traffic lights in each image in the accident scene image information, determine whether the vehicle is driving according to the instructions of the traffic signs and markings, and whether it complies with the control of the traffic lights, and then obtain the responsibility determination result.

[0052] like Figure 1 As shown, the traffic accident management method described in this embodiment also includes:

[0053] Step S300: Calculate congestion fees according to the congestion information.

[0054] Specifically, Figure 2As shown, the traffic accident management server can calculate the congestion fee. The traffic accident management server has multiple functions, including: information collection, data processing, congestion fee billing, business processing, information release and information storage. Information collection refers to the collection of vehicle information, road condition information, accident information, driver information, and congestion information at the scene of the traffic accident; data processing refers to the processing of reported information as needed; business processing refers to the processing of accident responsibility, congestion fee, and insurance; information release refers to the release of traffic accident information and processing result information; information storage refers to the storage of original information, process information, and processing result information of the traffic accident.

[0055] In the embodiment of the present application, the congestion information includes: the number of congested vehicles and the congestion duration. The step S300 specifically includes: obtaining a preset waiting time rate, calculating the product of the congestion duration, the number of congested vehicles and the preset waiting time rate, and obtaining the congestion fee.

[0056] Specifically, the congestion information includes the number of vehicles that are congested at the accident site due to the accident and the duration of the congestion at the accident site due to the accident. The calculation formula for congestion charges is: congestion charges = congestion time collected by the drone * number of congested vehicles collected by the drone * preset waiting rate; wherein, the preset waiting rate can be the local taxi waiting rate. In specific implementation, a waiting rate table is stored in advance, and the waiting rate table includes the correspondence between regions and taxi waiting rates. When it is necessary to calculate the congestion fee, the corresponding taxi waiting rate is found according to the region where the traffic accident is located.

[0057] The embodiment of the present application imposes congestion fees on the party responsible for the traffic accident according to the duration of congestion and the number of vehicles blocked, thereby raising the driver's awareness of safe driving and not driving in anger, and improving travel efficiency and safety.

[0058] like Figure 1 As shown, the traffic accident management method described in this embodiment also includes:

[0059] Step S400: Based on a pre-deployed third-party payment interface, the responsible party pays the congestion fee.

[0060] Specifically, the embodiment of the present application deploys multiple third-party platform interfaces, including: insurance platform interface, urban transportation platform interface, and third-party payment interface. The insurance platform interface is used to connect with the insurance platform and push insurance claim evidence; the urban transportation platform interface is used to connect with the urban transportation platform and push the traffic conditions at the accident site; the third-party payment interface is used to connect with WeChat, Alipay, UnionPay, etc., and provide a fine payment interface.

[0061] The third-party payment interface pre-deployed in the embodiment of the present application makes the payment of congestion fees very convenient. The responsible party does not need to go to a specific location, but can complete the payment through a mobile device such as a mobile phone, which greatly improves processing efficiency and reduces delays caused by fee payment issues.

[0062] In one embodiment of the present application, step S400 specifically includes:

[0063] Step S410: receiving the driver's license and vehicle registration certificate uploaded by the responsible party after logging into the target APP or target mini-program, and determining the license plate number of the accident vehicle corresponding to the responsible party;

[0064] Step S420, matching the driver's license, the vehicle registration certificate and the license plate number of the accident vehicle;

[0065] Step S430: If the match is successful, the responsible party pays the congestion fee on the target APP or target mini program based on the pre-deployed third-party payment interface.

[0066] like Figure 2 As shown, the driver's mobile phone APP can exchange information with the traffic accident management server. Specifically, the driver's terminal is installed with a target APP or a target applet, and the functions that can be realized through the target APP or the target applet include: first, uploading the driver's license and the accident vehicle license; second, remotely communicating with the traffic police to confirm the traffic police's handling opinions; third, remotely processing the responsibility determination results; fourth, deploying a third-party platform interface.

[0067] In step S410 of the embodiment of the present application, by allowing the responsible party to directly upload the driver's license and vehicle registration certificate on the target APP or target mini program and link it to the license plate number of the accident vehicle, the information verification step is simplified, making the payment process smoother and more efficient. The responsible party no longer needs to go to the site or provide this information through other channels, which greatly shortens the payment time.

[0068] In step S420 of the embodiment of the present application, the matching process of the driver's license, vehicle registration certificate and the license plate number of the accident vehicle can effectively verify the identity of the responsible party and the ownership of the accident vehicle, preventing the non-responsible party from making an erroneous payment or deliberately evading payment. This verification mechanism increases the security of payment and protects the legitimate rights and interests of the responsible party. For the responsible party who refuses to pay or evades payment of congestion charges, the traffic management department can track and hold them accountable through the records of the target APP or target applet.

[0069] In step S430 of the embodiment of the present application, the target APP or target mini-program provides a convenient payment channel, and users can complete payment operations on their mobile phones anytime and anywhere, thereby improving convenience.

[0070] In one embodiment of the present application, the step S400 further includes: generating traffic accident information based on the accident scene image information, generating processing result information based on the responsibility determination result and the congestion fee; and publishing the traffic accident information and the processing result information.

[0071] The embodiments of the present application improve information transparency by publishing traffic accident information, which helps the public understand the consequences of traffic violations and enhances awareness of complying with traffic rules; and timely release of accident information and handling results can help the public understand traffic conditions and choose appropriate travel routes, thereby effectively alleviating traffic congestion caused by accidents; at the same time, the automated and digital information processing process reduces the time and error rate of manual operations, and improves the work efficiency of traffic management departments.

[0072] In an embodiment of the present application, the traffic accident management method also includes: using the accident scene image information and the liability determination result as insurance claim evidence; and sending the insurance claim evidence to the insurance platform based on a pre-deployed insurance platform interface.

[0073] In the embodiment of the present application, the accident scene image information and the liability determination results can be automatically and quickly transmitted to the insurance platform through the insurance platform interface, which reduces the time of manual input and review and improves the efficiency of claim processing; the insurance company can instantly obtain clear and accurate accident scene images and official liability determination results, so as to complete the claim review faster and shorten the claim cycle. In addition, since the accident scene image information is collected by high-tech equipment such as drones, it is highly objective and accurate; the liability determination results are made by the traffic management department according to legal procedures and have legal effect. The combination of these evidences provides strong support for insurance claims and helps to reduce claims disputes. Sending the claim evidence to the insurance platform through the insurance platform interface makes the claim process more transparent. In addition, customers do not need to go to the insurance company in person or submit cumbersome paper materials. They only need to view the claim progress and results through the insurance platform, which greatly improves convenience. In addition, the insurance platform interface can be used to feedback the claim progress and results to customers in real time, so that customers can keep abreast of the claim situation at any time.

[0074] In one embodiment of the present application, the traffic accident management method further includes: generating accident scene traffic condition information based on the accident scene image information; and sending the accident scene traffic condition information to the city traffic platform based on a pre-deployed city traffic platform interface.

[0075] The accident scene image information quickly collected by drones and other equipment in the embodiments of the present application can be quickly converted into traffic condition information and published in real time through the urban traffic platform. This immediacy ensures the latest status of traffic information and helps the public and traffic management departments to respond in a timely manner. In addition, based on the processing of technologies such as image recognition, the generated traffic condition information has a high degree of accuracy and can truly reflect the traffic conditions at the accident site and surrounding roads. After receiving the traffic condition information at the accident site, the urban traffic platform can analyze the traffic flow in real time, and adjust the timing of traffic lights, issue traffic control instructions, etc. accordingly to optimize traffic scheduling and alleviate traffic congestion. The public can also obtain the latest traffic condition information through the urban traffic platform, so as to adjust travel routes and plans, avoid congested sections, and improve travel efficiency.

[0076] In a specific embodiment, a car collides with an electric car at an intersection, and traffic is temporarily interrupted. The image information of the accident scene captured by the drone includes: a photo of the collision between the car and the electric car, a wide-angle photo of the accident location (intersection), and a video of the road congestion after the accident. The image information is transmitted to the traffic accident management server, and key information (such as vehicle type, license plate number, accident time, location, etc.) is automatically extracted through image recognition technology, and combined with manual review to generate detailed traffic accident information. After the responsibility determination, the car driver is determined to be the main responsible party, and the congestion fee is calculated based on the congestion information collected by the drone. The responsibility determination result and the congestion fee are combined to generate processing result information, including the responsible party, responsibility ratio, congestion fee amount, etc. Traffic accident information (such as accident time, location, vehicle information, preliminary accident situation, etc.) is released through channels such as the traffic police client, driver mobile phone APP, and urban traffic platform to remind the public to pay attention to traffic safety and detour congested sections; processing result information (such as responsibility determination results, congestion fee payment status, etc.) is pushed to the relevant responsible parties and the public through the driver's mobile phone APP and the traffic police client to ensure transparent and open information.

[0077] In one embodiment, if Figure 3 As shown, based on the above traffic accident management method, the present invention also provides a traffic accident management device, including:

[0078] The information acquisition module 100 is used to receive the UAV control command, control the UAV to collect information at the accident scene, and obtain the accident scene image information and congestion information;

[0079] A responsibility determination module 200, for determining a responsibility determination result based on the accident scene image information, wherein the responsibility determination result includes a responsible party for the traffic accident;

[0080] A fee calculation module 300, configured to calculate a congestion fee based on the congestion information;

[0081] The fee payment module 400 is used to allow the responsible party to pay the congestion fee based on a pre-deployed third-party payment interface.

[0082] In one embodiment of the present application, the accident scene image information includes: accident vehicle image information, accident location image information and accident road image information.

[0083] In one embodiment of the present application, the congestion information includes: the number of congested vehicles and the congestion duration; the fee calculation module 300 is also used to obtain a preset waiting time rate, calculate the product of the congestion duration, the number of congested vehicles and the preset waiting time rate, and obtain the congestion fee.

[0084] In one embodiment of the present application, the fee payment module 400 includes:

[0085] An information determination unit, used to receive the driver's license and vehicle registration certificate uploaded by the responsible party after logging into the target APP or target mini-program, and determine the license plate number of the accident vehicle corresponding to the responsible party;

[0086] An information matching unit, used to match the driver's license, the vehicle registration certificate and the license plate number of the accident vehicle;

[0087] The fee payment unit is used to allow the responsible party to pay the congestion fee on the target APP or target mini program based on a pre-deployed third-party payment interface if the match is successful.

[0088] In one embodiment of the present application, the traffic accident management device further includes:

[0089] The information publishing module is used to generate traffic accident information based on the accident scene image information, generate processing result information based on the responsibility determination result and the congestion fee; and publish the traffic accident information and the processing result information.

[0090] In one embodiment of the present application, the traffic accident management device also includes: a first platform interface module, used to use the accident scene image information and the liability determination result as insurance claim evidence; based on a pre-deployed insurance platform interface, the insurance claim evidence is sent to the insurance platform.

[0091] In one embodiment of the present application, the traffic accident management device also includes: a second platform interface module, which is used to generate accident scene traffic condition information based on the accident scene image information; based on a pre-deployed urban traffic platform interface, the accident scene traffic condition information is sent to the urban traffic platform.

[0092] Figure 4A schematic diagram of the structure of a terminal provided in an embodiment of the present application. The terminal may include:

[0093] A memory 501 , a processor 502 , and a computer program stored in the memory 501 and executable on the processor 502 .

[0094] When the processor 502 executes the program, the traffic accident management method provided in the above embodiment is implemented.

[0095] Furthermore, the terminal further includes:

[0096] The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0097] The memory 501 is used to store computer programs that can be executed on the processor 502 .

[0098] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0099] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0100] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.

[0101] The processor 502 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0102] This embodiment also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned traffic accident management method is implemented.

[0103] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0104] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0105] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes additional implementations, in which the order shown or discussed may not be followed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0106] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can read instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or otherwise processing in a suitable manner if necessary and then storing it in a computer memory.

[0107] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0108] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0109] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0110] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

[0111] In summary, the present invention discloses a traffic accident management method, device, terminal and storage medium, the traffic accident management method comprising: receiving drone control instructions, controlling the drone to collect information at the accident scene, obtaining accident scene image information and congestion information; determining the responsibility determination result based on the accident scene image information, the responsibility determination result includes the responsible party of the traffic accident; calculating the congestion fee according to the congestion information; based on the pre-deployed third-party payment interface, the responsible party pays the congestion fee. The present invention can quickly handle non-major traffic accidents through drone on-site evidence collection and online judgment, reduce traffic congestion, improve accident handling efficiency, and collect congestion fees from the responsible party of the traffic accident, thereby improving travel safety.

[0112] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A traffic accident management method, characterized in that: The method comprises: Receive UAV control instructions, control the UAV to collect information at the accident scene, and obtain image information and congestion information of the accident scene; Determine a responsibility determination result based on the accident scene image information, wherein the responsibility determination result includes the responsible party for the traffic accident; Calculating congestion fees based on the congestion information; Based on a pre-deployed third-party payment interface, the responsible party pays the congestion fee.

2. The traffic accident management method according to claim 1, characterized in that: The accident scene image information includes: accident vehicle image information, accident location image information and accident road image information.

3. The traffic accident management method according to claim 1, characterized in that: The congestion information includes: the number of congested vehicles and the congestion duration; the congestion fee is calculated according to the congestion information, including: The preset waiting time rate is obtained, and the product of the congestion duration, the number of congested vehicles and the preset waiting time rate is calculated to obtain the congestion fee.

4. The traffic accident management method according to claim 1, characterized in that: Based on a pre-deployed third-party payment interface, the responsible party pays the congestion fee, including: Receive the driver's license and vehicle registration certificate uploaded by the responsible party after logging into the target APP or target mini program, and determine the license plate number of the accident vehicle corresponding to the responsible party; Matching the driver's license, the vehicle registration certificate and the license plate number of the accident vehicle; If the match is successful, the responsible party will pay the congestion fee on the target APP or target mini program based on the pre-deployed third-party payment interface.

5. The traffic accident management method according to claim 1, characterized in that: After the responsible party pays the congestion fee based on the pre-deployed third-party payment interface, the following further includes: Generate traffic accident information based on the accident scene image information, and generate processing result information based on the responsibility determination result and the congestion fee; The traffic accident information and the processing result information are released.

6. The traffic accident management method according to claim 1, characterized in that: The traffic accident management method further comprises: Using the accident scene image information and the liability determination result as insurance claim evidence; Based on the pre-deployed insurance platform interface, the insurance claim evidence is sent to the insurance platform.

7. The traffic accident management method according to claim 1, characterized in that: The traffic accident management method further comprises: generating traffic condition information of the accident scene according to the image information of the accident scene; Based on the pre-deployed urban traffic platform interface, the traffic condition information at the accident site is sent to the urban traffic platform.

8. A traffic accident management device, characterized in that: The device comprises: The information acquisition module is used to receive the UAV control command, control the UAV to collect information at the accident scene, and obtain the image information and congestion information of the accident scene; A responsibility determination module, used to determine a responsibility determination result based on the accident scene image information, wherein the responsibility determination result includes the responsible party of the traffic accident; A fee calculation module, used for calculating congestion fees according to the congestion information; A fee payment module is used to allow the responsible party to pay the congestion fee based on a pre-deployed third-party payment interface.

9. A terminal, characterized in that: include: A memory, a processor, and a traffic accident management program stored in the memory and executable on the processor, wherein the traffic accident management program, when executed by the processor, implements the steps of the traffic accident management method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program can be executed to implement the steps of the traffic accident management method according to any one of claims 1 to 7.

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