Car-networking-based intelligent evidence adducing method and system of traffic incident

Abstract

The invention provides a car-networking-based intelligent evidence adducing method of a traffic incident. The method comprises: different road traffic information of a vehicle is collected, alarm information is extracted and extracted alarm information is reported to a server, and evidence adducing information is collected; business classification is carried out on traffic alarm information and the classified traffic alarm information is submitted to a corresponding business server; the business server carries out a big data analysis by using a cloud platform to determine whether any record is made; if so, the evidence adducing information is released; and if not, the evidence adducing information is submitted and an operator is informed of collection of assisted evidence adducing information; a WEB business system determines whether the assisted evidence adducing information is uploaded; if so, the assisted evidence adducing information is uploaded; and if not, the assisted evidence adducing information is released; and the WEB business system performs corresponding business processing based on the submitted information. According to the invention, traffic violation event identification, an objective analysis, and intelligent traffic violation reporting are carried out by means of dynamic sensing, so that unnecessary conflicts are reduced and driving safety is guaranteed; and the traffic violation reporting operation flow is simplified and the reporting quality is improved.

Description

technical field [0001] The invention relates to a method for producing evidence, in particular to a method and system for intelligently producing evidence for traffic events based on the Internet of Vehicles. Background technique [0002] Since the upgraded version of Shenzhen Traffic Police’s WeChat in January 2014 created the first “Reporting Traffic Violations by Taking Snapshots” nationwide, many cities across the country have opened channels for citizens to supervise and report violations, that is, users can report illegal activities through the WeChat platform and upload photos in real time. Since the user needs to take and upload photos at the location where the current violation occurs when reporting, there are certain safety hazards in taking photos and collecting evidence in the case of a single driver, and it is in line with the "Regulations for the Implementation of the Road Traffic Safety Law of the People's Republic of China" Article 62, when driving a motor ve...

AI Technical Summary

Problems solved by technology

[0003] 1. The existing smart driving recorder mainly judges whether it is a violation of the rules by humans, and uploads the "violation" information subjectively. The uploaded content is often irrelevant to the subject, which will affect the significance of the activities of regulating citizens' civilized travel

In addition, there are factors such as video clarity, camera angle, and capture operation time that are not easy to control. In addition, the reporting operation process is relatively complicated, and the content of the report often cannot fully present the entire process of the violation incident.

[0004] 2. At present, traffic information is mainly collected through fixed detection equipment such as coil detectors, microwave detectors, and video detectors. There are deficiencies such as high installation and maintenance costs, limited detection range, and difficulty in providing traffic information on the entire road network; concurrent road traffic For emergencies and complex road environments, vehicle-mounted products that only take real-time photos at the current moment cannot meet the needs of proof, evidence collection, and road warning, nor can they meet the needs of intelligent transportation systems and traffic information

[0005] 3. The vehicle-mounted GPS positioning terminal currently installed mainly obtains road traffic conditions in a dynamic floating manner, and the positioning accuracy of the vehicle-mounted GPS positioning terminal itself is about 10 meters. Lane position and current vehicle trajectory judgment are not accurate enough

In addition, road events caused by natural disasters such as water accumulation on urban roads, icy road surfaces, landslides, tunnels and bridges cannot be broadcast to road sections or group vehicles in the road network in a timely and effective manner.

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