Intelligent Traffic Information Acquisition and Processing Technology

Abstract

Traffic is the economic lifeline of urban activities, and with rapid economic development, traffic jams have become a global concern. This paper will conduct an exploratory research on future intelligent transportation system (ITS) with the method of traffic information acquisition and data-processing technology. It will take the information flow as the main line, to build the IPv6 intelligent transportation system, which integrates information acquisition, communication, and storage. It will complete the transportation network AAA (authentication, authorization, and accounting) core management, information storage, and release function by establishing from the vehicle information acquisition to IPv6 data packet encapsulation and through the high-speed transmission network to the control center. Based on matrix theory and edge labels, it will describe the natural properties of the macro network, natural attributes of the network road sections, and social attributes of the nodes to realize the mutual transformation of the matrix, real road network, and abstract road network, and abstract the real road network into the mathematical model. Through the simulation indication information collection network, it can effectively avoid network congestion and ensure the transmission efficiency, thus achieving real-time dynamic management of vehicles.