Design of Intelligent Transportation System Based on Computer Vision Technology

Abstract

Intelligent transportation system is widely used in today's traffic management system, which is an intelligent system built by comprehensive use of new Internet technology, big data information, control system and data transmission technology to manage and control traffic conditions in an all-round way. As an important link in the intelligent transportation system, computer vision technology is the technical means that China is currently focusing on. Through the development of computer vision technology, the screening, monitoring and processing of information in the transportation network will be accelerated, and the flexibility and accuracy of the intelligent transportation system will be comprehensively improved, thereby driving the development of the entire transportation industry. In this paper, the embedded industrial computer is selected as the main controller of the system, the intersection video stream is collected through the intersection network camera, and then processed to obtain three traffic parameters of the to-be-passed phase. Then the fuzzy neural network algorithm is used to process the traffic parameters to obtain the green light duration time. The control strategy frame data including the traffic phase and the green light duration is transmitted to the traffic light control module through the LoRa wireless communication module. The ARM processor parses the transmitted frame data, and finally realizes the on-off and configuration of the traffic light module. In this paper, the vehicle queue length, traffic flow and average speed are taken as the input parameters of the fuzzy neural network system. The vehicle queue length, traffic flow and speed will all affect the recognition accuracy of the intelligent transportation system. This time, an intersection in Hunan is taken as the test object to verify the applicability of the intelligent transportation system proposed in this paper. The results show that the system can meet the demand and has broad application prospects.