Road traffic status discrimination method based on data fusion of multiple floating vehicles

Yanguo Huang; Kefei Zuo; Renzheng Yang; Chao Jin

doi:10.1117/12.2685697

28 July 2023 Road traffic status discrimination method based on data fusion of multiple floating vehicles

Yanguo Huang, Kefei Zuo, Renzheng Yang, Chao Jin

Proceedings Volume 12716, Third International Conference on Digital Signal and Computer Communications (DSCC 2023); 1271602 (2023) https://doi.org/10.1117/12.2685697
Event: Third International Conference on Digital Signal and Computer Communications (DSCC 2023), 2023, Xi'an, China

Abstract

In view of the fact that a single type of floating vehicle data can not fully reflect the traffic state of the road, this paper proposes a method to judge the urban traffic state based on multiple floating vehicle data. According to the operating characteristics of different vehicles, integrate the advantages and disadvantages of three common floating vehicles, fuse the data, and then use clustering algorithm to divide the traffic state, so as to more accurately reflect the real-time traffic state of urban roads. The experiment shows that this method has a good discrimination effect on the urban road traffic state. It can provide reference for urban road status discrimination and traffic management.

Citation Download Citation

Yanguo Huang, Kefei Zuo, Renzheng Yang, and Chao Jin "Road traffic status discrimination method based on data fusion of multiple floating vehicles", Proc. SPIE 12716, Third International Conference on Digital Signal and Computer Communications (DSCC 2023), 1271602 (28 July 2023); https://doi.org/10.1117/12.2685697

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