Abstract: With the popularization of automobiles, traffic congestion is becoming increasingly serious. Although the cloud-based intelligent transportation systems (ITS) can relieve traffic pressure, it can no longer meet the demand of transmission bandwidth and delay requirements of new on-board applications such as assisted driving and autonomous driving. In order to realize the data real-time processing, ensure public information and traffic safety, and improve the transportation system efficiency, edge computing (EC) is applied to ITS. The development of ITS is described and the overall architecture of edge-based ITS is proposed, which makes full use of the characteristics of edge computing such as physical proximity, high bandwidth, low latency and location recognition to solve the problems of information transmission delay, data processing delay and large transmission load. Next, the key technologies of edge computing in ITS are discussed from the aspects of wireless transmission, information perception, computing offloading and collaborative processing. Finally, the future opportunities and challenges for the application of EC in ITS are pointed out.

Key words: Internet of Things, intelligent transportation systems, edge computing, cloud edge collaboration