An intelligent traffic control system based on sand table

Abstract

With the continuous improvement of the combination of computer control technology and traffic flow theory, and the continuous enhancement of traffic management methods, it is an important task for researchers to greatly improve the level of intelligent transportation in China. In view of the current needs of the development of intelligent transportation, this paper simulates the specific traffic environment in real life in combination with the simulation environment in the laboratory, and builds a smart car that meets the environmental requirements for this environment, and sets the console host computer interface as the interface. The information exchange platform between smart cars can also control the start and stop of smart cars according to the needs of users.In order to realize the system, the system designs two schemes for the behavior of smart cars: for embedded development, it uses infrared to track and RFID radio frequency card for positioning of smart cars; for image recognition, it uses residual network. Virtual tracking, and smart car behavior using AlexNet’s marker recognition. The two behaviors are aimed at the same simulated environment, and the smart car can comprehensively consider the two behaviors, so that the response to the environment is more accurate and precise. Finally, a sand table-based intelligent traffic control system is formed.