CN117493399A - Traffic accident handling method and system based on big data - Google Patents
Traffic accident handling method and system based on big data Download PDFInfo
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Abstract
The invention is suitable for the technical field of accident handling, and provides a traffic accident handling method and a traffic accident handling system based on big data.
Description
Technical Field
The invention relates to the technical field of accident handling, in particular to a traffic accident handling method and system based on big data.
Background
Publication number CN106781436B discloses a traffic accident handling method and device, relates to the technical field of intelligent traffic control, and aims to improve traffic accident handling efficiency. The main technical scheme of the invention is as follows: acquiring geographic position information of traffic accidents sent by a traffic accident party; invoking a video shot by monitoring equipment corresponding to the geographic position information; intercepting the video according to the traffic accident investigation photographing rule to obtain evidence obtaining image information; analyzing the evidence obtaining image information to generate a traffic accident identification result corresponding to the traffic accident party; and sending the traffic accident identification result to the traffic accident party.
The above scheme also has the following defects: on one hand, the information of the opposite side vehicle close to the own side vehicle cannot be acquired and recorded in advance before the traffic accident occurs, on the other hand, when the traffic accident occurs, the traffic accident cannot be processed under the condition that the two sides do not stop or the opposite side vehicle is hit and run, because the traffic accident can be processed by the two sides stopping when the traffic accident occurs, and meanwhile, the traffic accident can not be reported to a traffic police team automatically in time under the condition that the opposite side vehicle is hit and run.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a traffic accident processing method and system based on big data so as to solve the problems existing in the background art.
The invention is realized in such a way that the traffic accident processing method based on big data comprises the following steps:
acquiring opposite vehicle information in a certain area around the vehicle in real time, and storing the opposite vehicle information to a big data platform in real time;
collecting own vehicle collision information, and marking position information and time information on the own vehicle collision information;
uploading own vehicle collision information marked with position information and time information to a big data platform for matching, and outputting information of one or more matched vehicles;
when only information of one opposite vehicle is output, communication information of the opposite vehicle driver is obtained, and own vehicle collision information is sent to the opposite vehicle driver through the communication information; when information of a plurality of opposite vehicles is output, whether the opposite vehicles have collision information at the same position and at the same time is analyzed according to the opposite vehicle information, if so, communication information of the opposite vehicle driver is obtained, own vehicle collision information is sent to the opposite vehicle driver through the communication information, and if not, own vehicle collision information marked with the position information and the time information is sent to an insurance company and a local traffic police team.
As a further scheme of the invention: the step of acquiring the information of the opposite vehicle in a certain area around the vehicle in real time and storing the information of the opposite vehicle to a big data platform in real time specifically comprises the following steps:
monitoring distance information between own vehicles and other vehicles in real time;
when the distance between the own vehicle and the opposite vehicle is within 0.5 meter, acquiring vehicle information of the opposite vehicle, wherein the vehicle information is a license plate number;
marking position information and time information on license plate numbers of the opposite vehicles;
and storing the opposite vehicle information marked with the position information and the time information to a big data platform.
As a further scheme of the invention: the step of collecting own vehicle collision information and marking position information and time information on own vehicle collision information specifically comprises the following steps:
collecting own vehicle collision information, wherein the own vehicle collision information comprises vehicle body collision signal information and picture information;
the own vehicle collision information is marked with position information and time information.
As a further scheme of the invention: the step of uploading own vehicle collision information marked with position information and time information to a big data platform for matching and outputting information of one or more matched vehicles of the other side specifically comprises the following steps:
uploading own vehicle collision information marked with position information and time information to a big data platform;
matching own vehicle collision information with opposite vehicle information;
and outputting one or more pieces of opponent vehicle information when the position information and the time information marked on the own vehicle collision information are consistent with the position information and the time information marked on the opponent vehicle information.
As a further scheme of the invention: the method for acquiring the communication information of the driver of the opposite vehicle and sending the collision information of the own vehicle to the driver of the opposite vehicle through the communication information specifically comprises the following steps:
acquiring communication information of a driver of the opposite vehicle according to the license plate number of the opposite vehicle; the communication information of the driver of the opposite vehicle comprises a mobile phone number or Bluetooth;
sending a communication request to a driver of the opposite vehicle;
when the driver of the opposite vehicle agrees with the communication request, transmitting own vehicle collision information to the driver of the opposite vehicle;
when the driver of the opposite vehicle does not agree with the communication request, the license plate number of the opposite vehicle and own vehicle collision information are sent to an insurance company and a local traffic police team.
A big data based traffic accident handling system, the system comprising:
the monitoring module is used for collecting own vehicle collision information and labeling position information and time information on the own vehicle collision information;
the acquisition module is used for acquiring own vehicle collision information and labeling position information and time information on the own vehicle collision information;
the matching module is used for uploading own vehicle collision information marked with position information and time information to the big data platform for matching and outputting information of one or more matched vehicles of the other side;
the analysis processing module is used for acquiring communication information of a driver of the opposite vehicle when only information of one opposite vehicle is output, and sending own vehicle collision information to the driver of the opposite vehicle through the communication information; when information of a plurality of opposite vehicles is output, the method is used for analyzing whether the opposite vehicles exist collision information at the same position and at the same time according to the opposite vehicle information, if so, the communication information of the opposite vehicle driver is obtained, own vehicle collision information is sent to the opposite vehicle driver through the communication information, and if not, own vehicle collision information marked with the position information and the time information is sent to an insurance company and a local traffic police team.
As a further scheme of the invention: the monitoring module includes:
the distance monitoring unit is used for monitoring the distance information of the own vehicle and the opposite vehicle in real time;
an information acquisition unit for acquiring vehicle information of an opponent vehicle when a distance between the own vehicle and the opponent vehicle is within 0.5 meter, wherein the vehicle information is a license plate number;
the first information labeling unit is used for labeling position information and time information on the license plate number of the opposite vehicle;
and the data storage unit is used for storing the opposite vehicle information marked with the position information and the time information to the big data platform.
As a further scheme of the invention: the acquisition module comprises:
the information acquisition unit is used for acquiring own vehicle collision information, wherein the own vehicle collision information comprises vehicle body collision signal information and picture information;
and the second information labeling unit is used for labeling position information and time information on own vehicle collision information.
As a further scheme of the invention: the matching module comprises:
the input unit is used for uploading own vehicle collision information marked with position information and time information to the big data platform;
a matching unit for matching own vehicle collision information with counterpart vehicle information;
and an output unit configured to output one or more pieces of opponent vehicle information when the position information and the time information marked on the own vehicle collision information coincide with the position information and the time information marked on the opponent vehicle information.
As a further scheme of the invention: the analysis processing module comprises:
an analysis unit that analyzes whether or not there is collision information at the same position and at the same time of the opponent vehicle based on opponent vehicle information when information of a plurality of opponent vehicles is output;
the communication information acquisition unit is used for acquiring communication information of a driver of the opposite vehicle according to the license plate number of the opposite vehicle if the communication information is acquired; the communication information of the driver of the opposite vehicle comprises a mobile phone number or Bluetooth;
and the accident handling unit is used for sending own vehicle collision information marked with the position information and the time information to insurance companies and local traffic police teams if not.
Compared with the prior art, the invention has the beneficial effects that: the method not only achieves the purpose of locking the opposite vehicle quickly, but also achieves the purpose of handling accidents by the amount of business under the condition that other vehicles are not stopped to influence the running of the other vehicles, and can also automatically send traffic accident information to insurance companies and local traffic police teams under the condition that the opposite vehicles run out, so that the local traffic police teams can quickly retrieve the running out vehicles, the insurance companies can know the damage assessment information of own accident vehicles in time, the problem that new drivers do not know how to handle the traffic accidents is solved, and the traffic jam problem caused by the stopping communication of the drivers of both sides in the traffic accidents is solved.
Drawings
Fig. 1 is a flow chart of a traffic accident handling method based on big data.
Fig. 2 is a flowchart of acquiring information of an opponent vehicle in a certain area around a vehicle in real time and storing the information of the opponent vehicle to a big data platform in real time in a traffic accident handling method based on big data.
Fig. 3 is a flowchart of collecting own vehicle collision information in a traffic accident handling method based on big data, and labeling position information and time information on the own vehicle collision information.
Fig. 4 is a flowchart of a traffic accident handling method based on big data, in which own vehicle collision information marked with position information and time information is uploaded to a big data platform for matching, and information of one or more matched opponent vehicles is output.
Fig. 5 is a flowchart of a traffic accident handling method based on big data, in which communication information of a driver of an opposite vehicle is acquired, and own vehicle collision information is sent to the driver of the opposite vehicle through the communication information.
Fig. 6 is a schematic structural diagram of a traffic accident handling system based on big data.
Fig. 7 is a schematic structural diagram of a monitoring module in a traffic accident handling system based on big data.
Fig. 8 is a schematic structural diagram of an acquisition module in a traffic accident handling system based on big data.
Fig. 9 is a schematic structural diagram of a matching module in a traffic accident handling system based on big data.
Fig. 10 is a schematic structural diagram of an analysis processing module in a traffic accident handling system based on big data.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Specific implementations of the invention are described in detail below in connection with specific embodiments.
As shown in fig. 1, the embodiment of the invention provides a traffic accident handling method based on big data, which comprises the following steps:
s100, acquiring opposite vehicle information in a certain area around the vehicle in real time, and storing the opposite vehicle information to a big data platform in real time;
s200, collecting own vehicle collision information, and marking position information and time information on the own vehicle collision information;
and S300, uploading own vehicle collision information marked with position information and time information to a large data platform for matching, and outputting information of one or more matched opponent vehicles.
S400, when only information of one opposite vehicle is output, communication information of the opposite vehicle driver is obtained, and own vehicle collision information is sent to the opposite vehicle driver through the communication information; when information of a plurality of opposite vehicles is output, whether the opposite vehicles have collision information at the same position and at the same time is analyzed according to the opposite vehicle information, if so, communication information of the opposite vehicle driver is obtained, own vehicle collision information is sent to the opposite vehicle driver through the communication information, and if not, own vehicle collision information marked with the position information and the time information is sent to an insurance company and a local traffic police team.
In the embodiment of the invention, the purposes of acquiring the opposite vehicle information possibly occurring accidents with the own vehicle in advance and reducing the range of searching the opposite vehicle are achieved by acquiring the opposite vehicle information in a certain area around the vehicle in real time and storing the opposite vehicle information into a big data platform in real time, the purpose of automatically identifying the traffic accident is achieved by acquiring the own vehicle collision information and marking the own vehicle collision information with position information and time information, and the purpose of automatically searching the opposite vehicle in the traffic accident is achieved by uploading the own vehicle collision information marked with the position information and the time information to the big data platform for matching and outputting the information of one or more matched opposite vehicles, wherein the specific method is as follows: when only information of one opposite vehicle is output, communication information of the opposite vehicle driver is obtained, and own vehicle collision information is sent to the opposite vehicle driver through the communication information; when information of a plurality of opposite vehicles is output, whether the opposite vehicles are in the same position and at the same time is analyzed according to the opposite vehicle information, if so, communication information of opposite vehicle drivers is obtained, own vehicle collision information is sent to the opposite drivers through the communication information, if not, own vehicle collision information marked with the position information and the time information is sent to insurance companies and local traffic police teams, the purpose of quickly locking the opposite vehicles in traffic accidents is achieved through the method of automatically searching the opposite vehicles, the purpose of how to deal with the accidents under the condition that other vehicles are not stopped to influence the running of the opposite vehicles is achieved, and the purpose of automatically sending traffic accident information to the insurance companies and the local traffic police teams under the condition that the opposite vehicles are hit and run is achieved.
As shown in fig. 2, as a preferred embodiment of the present invention, the step of acquiring information of a counterpart vehicle in a certain area around a vehicle in real time and storing the information of the counterpart vehicle in real time to a big data platform specifically includes:
s110, monitoring distance information between own vehicles and other vehicles in real time;
s120, when the distance between the own vehicle and the opposite vehicle is within 0.5 meter, acquiring vehicle information of the opposite vehicle, wherein the vehicle information is a license plate number;
s130, marking position information and time information on license plate numbers of the opposite vehicles;
and S140, storing the opposite vehicle information marked with the position information and the time information to a big data platform.
In the embodiment of the invention, when the vehicle runs on a road, the distance information between the own vehicle and the opposite vehicle can be monitored in real time, and when the distance between the own vehicle and the opposite vehicle is within 0.5 meter, the license plate number of the opposite vehicle can be automatically acquired, the license plate number of the opposite vehicle is marked with the position information and the time information, and the opposite vehicle information marked with the position information and the time information is stored in a big data platform;
it should be noted that, in order to prevent a large amount of memory of the background server from being occupied when the data is more, the large data platform automatically deletes the expired data, and the judging method of the expired data is as follows: the calculation is started from the storage of the opposite vehicle information marked with the position information and the time information to the big data platform, and after ten minutes or twenty minutes, the big data platform can automatically delete the stored vehicle information.
As shown in fig. 3, as a preferred embodiment of the present invention, the step of collecting own vehicle collision information and labeling the own vehicle collision information with position information and time information specifically includes:
s210, collecting own vehicle collision information, wherein the own vehicle collision information comprises vehicle body collision signal information and picture information;
s220, the own vehicle collision information is marked with position information and time information.
In the embodiment of the invention, after the vehicle body collision signal information and the picture information sent by the own vehicle are collected, the position information and the time information are automatically marked on the own vehicle collision information.
As shown in fig. 4, as a preferred embodiment of the present invention, the step of uploading own vehicle collision information marked with location information and time information to a large data platform for matching, and outputting information of one or more matched opponent vehicles specifically includes:
s310, uploading own vehicle collision information marked with position information and time information to a big data platform;
s320, matching own vehicle collision information with opposite vehicle information;
s330, when the position information and the time information marked on the own vehicle collision information are consistent with the position information and the time information marked on the opposite vehicle information, one or more opposite vehicle information is output.
In the embodiment of the invention, when two or more opponent vehicles with consistent position information and time information are provided, two or more opponent vehicle information is output at the same time.
As shown in fig. 5, as a preferred embodiment of the present invention, the step of acquiring communication information of the driver of the opposite vehicle and transmitting collision information of the own vehicle to the driver of the opposite vehicle through the communication information specifically includes:
s410, acquiring communication information of a driver of the opposite vehicle according to the license plate number of the opposite vehicle; the communication information of the driver of the opposite vehicle comprises a mobile phone number or Bluetooth;
s420, sending a communication request to a driver of the opposite vehicle;
s430, when the driver of the opposite vehicle agrees to the communication request, sending own vehicle collision information to the driver of the opposite vehicle;
s440, when the driver of the opposite vehicle does not agree with the communication request, the license plate number of the opposite vehicle and own vehicle collision information are sent to an insurance company and a local traffic police team.
In the embodiment of the invention, when only one opposite vehicle information is output, the vehicle can be confirmed to be the vehicle crashed with the own vehicle, the instruction of analyzing whether the opposite vehicle is in the same position and at the same time according to the opposite vehicle information is not needed to be executed, and the instruction of acquiring the opposite vehicle driver communication information and sending the own vehicle crash information to the opposite driver through the communication information is only needed to be executed.
As shown in fig. 6, a traffic accident handling system based on big data, the system comprising:
the monitoring module 100 is used for collecting own vehicle collision information and labeling position information and time information on the own vehicle collision information;
the acquisition module 200 is used for acquiring own vehicle collision information, and labeling position information and time information on the own vehicle collision information;
the matching module 300 is used for uploading own vehicle collision information marked with position information and time information to the big data platform for matching and outputting information of one or more matched vehicles;
the analysis processing module 400 is used for acquiring communication information of the driver of the opposite vehicle and sending own vehicle collision information to the driver of the opposite vehicle through the communication information when only information of one opposite vehicle is output; when information of a plurality of opposite vehicles is output, the method is used for analyzing whether the opposite vehicles exist collision information at the same position and at the same time according to the opposite vehicle information, if so, the communication information of the opposite vehicle driver is obtained, own vehicle collision information is sent to the opposite vehicle driver through the communication information, and if not, own vehicle collision information marked with the position information and the time information is sent to an insurance company and a local traffic police team.
As shown in fig. 7, as a preferred embodiment of the present invention, the monitoring module 100 includes:
a distance monitoring unit 101 for monitoring distance information between the own vehicle and the opposite vehicle in real time;
an information acquisition unit 102 for acquiring vehicle information of an opponent vehicle, which is a license plate number, when a distance between the own vehicle and the opponent vehicle is within 0.5 meter;
a first information labeling unit 103, configured to label position information and time information on a license plate number of a counterpart vehicle;
a data storage unit 104 for storing opponent vehicle information marked with position information and time information to the large data platform.
In the embodiment of the present invention, the distance monitoring unit 101 is an automotive radar, and the information acquisition unit 102 acquires the vehicle information of the opponent vehicle when the distance between the own vehicle and the opponent vehicle is within 0.5 meter.
As shown in fig. 8, as a preferred embodiment of the present invention, the acquisition module 200 includes:
an information acquisition unit 201 for acquiring own vehicle collision information including vehicle body collision signal information and picture information;
the second information labeling unit 202 is configured to label the own vehicle collision information with position information and time information.
In the embodiment of the invention, the information acquisition unit 201 acquires own vehicle collision information, wherein a collision sensor in the information acquisition unit 201 acquires vehicle body collision signal information, a 360-image module in the information acquisition unit 201 acquires picture information, and the second information labeling unit 202 labels position information and time information on own vehicle collision information.
As shown in fig. 9, as a preferred embodiment of the present invention, the matching module 300 includes:
an input unit 301 for uploading own vehicle collision information labeled with position information and time information to a big data platform;
a matching unit 302 for matching own vehicle collision information with counterpart vehicle information;
the output unit 303 outputs one or more pieces of opponent vehicle information when the position information and time information marked on own vehicle collision information coincide with the position information and time information marked on opponent vehicle information.
In the embodiment of the present invention, the input unit 301 uploads the own vehicle collision information labeled with the position information and the time information to the large data platform, the matching unit 302 matches the own vehicle collision information with the opponent vehicle information, and when the position information and the time information labeled on the own vehicle collision information are consistent with the position information and the time information labeled on the opponent vehicle information, the output unit 303 outputs one or more opponent vehicle information.
As shown in fig. 10, as a preferred embodiment of the present invention, the analysis processing module 400 includes:
an analysis unit 401 that analyzes whether or not there is collision information at the same position and at the same time of the opponent vehicle based on opponent vehicle information when information of a plurality of opponent vehicles is output;
a communication information obtaining unit 402, if yes, configured to obtain communication information of a driver of the opposite vehicle according to the license plate number of the opposite vehicle; the communication information of the driver of the opposite vehicle comprises a mobile phone number or Bluetooth;
the accident handling unit 403 is configured to send own vehicle collision information, which is marked with location information and time information, to insurance companies and local traffic police teams, if not.
In the embodiment of the present invention, when information of a plurality of opponent vehicles is output, the analysis unit 401 analyzes whether the opponent vehicles exist collision information at the same position and at the same time according to the opponent vehicle information, and if so, the communication information acquisition unit 402 acquires communication information of the opponent vehicle driver according to the license plate number of the opponent vehicle; the opponent vehicle driver communication information includes a mobile phone number or bluetooth, and if not, the accident handling unit 403 is configured to send own vehicle collision information marked with location information and time information to an insurance company and a local traffic police team.
In summary, the purpose of locking the opposite vehicle quickly is achieved, the purpose of handling accidents under the condition that other vehicles are not stopped to influence running is achieved, traffic accident information can be automatically sent to insurance companies and local traffic police teams under the condition that the opposite vehicle breaks down and escapes, on one hand, the local traffic police teams can quickly retrieve the broken down and escapes vehicles, on the other hand, the insurance companies can know the damage assessment information of own accident vehicles in time, the problem that new drivers do not know how to handle the traffic accidents is solved, and the problem of traffic jam caused by stopping and communication of the drivers of the two parties in the traffic accidents is solved.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A traffic accident handling method based on big data, the method comprising the steps of:
acquiring opposite vehicle information in a certain area around the vehicle in real time, and storing the opposite vehicle information to a big data platform in real time;
collecting own vehicle collision information, and marking position information and time information on the own vehicle collision information;
uploading own vehicle collision information marked with position information and time information to a big data platform for matching, and outputting information of one or more matched vehicles;
when only information of one opposite vehicle is output, communication information of the opposite vehicle driver is obtained, and own vehicle collision information is sent to the opposite vehicle driver through the communication information; when information of a plurality of opposite vehicles is output, whether the opposite vehicles have collision information at the same position and at the same time is analyzed according to the opposite vehicle information, if so, communication information of the opposite vehicle driver is obtained, own vehicle collision information is sent to the opposite vehicle driver through the communication information, and if not, the vehicle collision information marked with the position information and the time information is sent to an insurance company and a local traffic police team.
2. The traffic accident handling method based on big data according to claim 1, wherein the step of acquiring the information of the opponent vehicle in a certain area around the vehicle in real time and storing the information of the opponent vehicle in real time to the big data platform specifically comprises the steps of:
monitoring distance information between own vehicles and other vehicles in real time;
when the distance between the own vehicle and the opposite vehicle is within 0.5 meter, acquiring vehicle information of the opposite vehicle, wherein the vehicle information is a license plate number;
marking position information and time information on license plate numbers of the opposite vehicles;
and storing the opposite vehicle information marked with the position information and the time information to a big data platform.
3. The traffic accident handling method based on big data according to claim 2, wherein the step of collecting own vehicle collision information and labeling the own vehicle collision information with position information and time information specifically comprises:
collecting own vehicle collision information, wherein the own vehicle collision information comprises vehicle body collision signal information and picture information;
the own vehicle collision information is marked with position information and time information.
4. The traffic accident handling method based on big data according to claim 3, wherein the step of uploading own vehicle collision information marked with location information and time information to a big data platform for matching, and outputting information of one or more matched opponent vehicles, specifically comprises:
uploading own vehicle collision information marked with position information and time information to a big data platform;
matching own vehicle collision information with opposite vehicle information;
and outputting one or more pieces of opponent vehicle information when the position information and the time information marked on the own vehicle collision information are consistent with the position information and the time information marked on the opponent vehicle information.
5. The traffic accident handling method according to claim 4, wherein the steps of obtaining communication information of the driver of the opposite vehicle and transmitting own vehicle collision information to the driver of the opposite vehicle via the communication information comprise:
acquiring communication information of a driver of the opposite vehicle according to the license plate number of the opposite vehicle; the communication information of the driver of the opposite vehicle comprises a mobile phone number or Bluetooth;
sending a communication request to a driver of the opposite vehicle;
when the driver of the opposite vehicle agrees with the communication request, transmitting own vehicle collision information to the driver of the opposite vehicle;
when the driver of the opposite vehicle does not agree with the communication request, the license plate number of the opposite vehicle and own vehicle collision information are sent to an insurance company and a local traffic police team.
6. A big data based traffic accident handling system, the system comprising:
the monitoring module is used for collecting own vehicle collision information and labeling position information and time information on the own vehicle collision information;
the acquisition module is used for acquiring own vehicle collision information and labeling position information and time information on the own vehicle collision information;
the matching module is used for uploading own vehicle collision information marked with position information and time information to the big data platform for matching and outputting information of one or more matched vehicles of the other side;
the analysis processing module is used for acquiring communication information of a driver of the opposite vehicle when only information of one opposite vehicle is output, and sending own vehicle collision information to the driver of the opposite vehicle through the communication information; when information of a plurality of opposite vehicles is output, the method is used for analyzing whether the opposite vehicles exist collision information at the same position and at the same time according to the opposite vehicle information, if so, the communication information of the opposite vehicle driver is obtained, own vehicle collision information is sent to the opposite vehicle driver through the communication information, and if not, own vehicle collision information marked with the position information and the time information is sent to an insurance company and a local traffic police team.
7. The big data based traffic accident handling system of claim 6, wherein the monitoring module comprises:
the distance monitoring unit is used for monitoring the distance information of the own vehicle and the opposite vehicle in real time;
an information acquisition unit for acquiring vehicle information of an opponent vehicle when a distance between the own vehicle and the opponent vehicle is within 0.5 meter, wherein the vehicle information is a license plate number;
the first information labeling unit is used for labeling position information and time information on the license plate number of the opposite vehicle;
and the data storage unit is used for storing the opposite vehicle information marked with the position information and the time information to the big data platform.
8. The big data based traffic accident handling system of claim 7, wherein the collection module comprises:
the information acquisition unit is used for acquiring own vehicle collision information, wherein the own vehicle collision information comprises vehicle body collision signal information and picture information;
and the second information labeling unit is used for labeling position information and time information on own vehicle collision information.
9. The big data based traffic accident handling system of claim 8, wherein the matching module comprises:
the input unit is used for uploading own vehicle collision information marked with position information and time information to the big data platform;
a matching unit for matching own vehicle collision information with counterpart vehicle information;
and an output unit configured to output one or more pieces of opponent vehicle information when the position information and the time information marked on the own vehicle collision information coincide with the position information and the time information marked on the opponent vehicle information.
10. The big data based traffic accident handling system of claim 9, wherein the analysis processing module includes:
an analysis unit that analyzes whether or not there is collision information at the same position and at the same time of the opponent vehicle based on opponent vehicle information when information of a plurality of opponent vehicles is output;
the communication information acquisition unit is used for acquiring communication information of a driver of the opposite vehicle according to the license plate number of the opposite vehicle if the communication information is acquired; the communication information of the driver of the opposite vehicle comprises a mobile phone number or Bluetooth;
and the accident handling unit is used for sending own vehicle collision information marked with the position information and the time information to insurance companies and local traffic police teams if not.
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