A Review of Research on Traffic Conflicts Based on Intelligent Vehicles Perception Technology

Abstract

The traffic situation at the urban intersection is complicated, the numerous internal conflict, kinds of and frequent accidents. With the objective to improve road safety, the automotive industry is moving toward more intelligent vehicles. One of the major challenges is accurately perceive the road traffic environment, detect potential driving conflicts before vehicle conflicts occur and propose alternative driving strategies to resolve conflicts. This paper summarizes the existing research on traffic conflict based on Intelligent Vehicle perception technology. Intelligent vehicles perceive the surrounding environment through environment perception technology, mainly rely on vehicle-borne sensing systems, such as vision system, radar system, etc. to obtain the surrounding road environment information, and detect obstacles to avoid collision and other measures to avoid conflict or reduce accidents. And through prediction algorithm, traffic risk assessment is carried out. At the same time, the existing technical problems are analyzed. Finally, the future development trend of this field is proposed.