A Review of Research on Traffic Conflicts Based on Intelligent Vehicles

Lin Hu, Jian Ou, Jing Huang, Yimin Chen, Dongpu Cao

科研成果: 期刊稿件文章同行评审

79 引用 (Scopus)

摘要

The traffic situation at an urban intersection is complicated, due to the numerous internal conflicts and all kinds of traffic accidents. With the objective of improving road safety, the automotive industry is moving toward intelligent vehicles. The major challenges are accurately perceiving the road traffic environment, detecting the potential traffic conflicts, and proposing the alternative driving strategies. This paper summarizes the existing researches on traffic conflicts from the perspective of intelligent vehicles. The intelligent vehicles can perceive the surrounding environment, extract road condition information, and detect obstacles for avoiding collisions or mitigating accidents. It expounds that the perception technology of intelligent vehicles can be divided into three main categories, namely, the perception technology, the communication technology, and the fusion of perception-communication technology. At the same time, the existing technical problems are analyzed. Finally, future development trends in this field are discussed.

源语言英语
文章编号8974265
页(从-至)24471-24483
页数13
期刊IEEE Access
8
DOI
出版状态已出版 - 2020

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