System for identifying expressway vehicle passing events

Abstract

The invention discloses a system for identifying expressway vehicle passing events, which belongs to the technical field of visual image detection data processing and comprises an image acquisition module, an intelligent front-end module, a transmission module and a control center module. According to the system, an existing camera of an expressway is used for collecting data; after intelligent front-end deep learning, the obtained data are analyzed and processed, road condition judgment is carried out according to customized rules, data of vehicle flow, traffic jam, driving accidents, illegalparking, illegal driving and the like are obtained, the data are transmitted to an expressway control center through the transmission module, and the control center classifies, displays and stores the received data. The system is based on an expressway stock camera, does not need to be arranged, can be quickly deployed, and saves manpower and material resources; analysis and reporting of the whole driving event information are directly and automatically completed by the system, manual processing is not needed, result display is fast, reporting is timely, and the system is more intelligent.

Description

technical field [0001] The invention relates to the technical field of visual image detection data processing, in particular to a system for identifying passing events of expressway vehicles. Background technique [0002] In modern traffic, real-time and accurate grasp of road conditions is very important to improve traffic efficiency, reduce congestion and avoid traffic accidents. For this reason, how to obtain accurate traffic status information has become a common concern of the majority of traffic participants or managers. Because accurate traffic status information can provide support for traffic decision-making analysis, and at the same time provide travelers with efficient, safe, and comfortable transportation services, thereby improving the utilization efficiency of traffic resources and reducing energy consumption, thereby promoting a faster and more stable urban economy. to develop. [0003] At present, the judgment of road traffic operation status mostly adopts ...

AI Technical Summary

Problems solved by technology

[0005] The current manual judgment method requires witnesses in the local area at that time, continuous observation is required, and specialized personnel are required to screen and confirm the report. The workload and intensity of the personnel are relatively large; judging by traffic flow parameters is also unreasonable. : Statistical cycle, conditions of each road section, detector layout, etc. have an impact on the state judgment, and the traffic conditions of each road section are different, and the detector layout positions of each road section are also different. The traffic status information obtained by the above method lack of accuracy

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