Research on right turn merging conflicts at intersection based on vehicle trajectory data

Ruining Xie; Lin Cheng; Liying Wei; Xulei Zhou; Chenhao Zhang

doi:10.1117/12.2689472

7 September 2023 Research on right turn merging conflicts at intersection based on vehicle trajectory data

Ruining Xie, Lin Cheng, Liying Wei, Xulei Zhou, Chenhao Zhang

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 1279055 (2023) https://doi.org/10.1117/12.2689472
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

Practical experience shows that the traditional road safety assessment and improvement measures which are carried out only after the accident can not predict the risks and take active measures in advance. A complete method of representing potential accidents through conflicts to make anticipatory safety judgments is further proposed in this paper. Taking the right turn merging conflict at intersections as the focus, conflict indicators are used to judge the severity of conflicts by Fuzzy C-means clustering based on vehicle trajectory data, and the prediction model of conflict and traffic-related factors is established using BP neural network. This paper puts forward a conflict evaluation system from three aspects of time, space and distance, which can be extended to apply to any type of conflict, and has certain references to the prior control of traffic risks and improvement of traffic safety.

Citation Download Citation

Ruining Xie, Lin Cheng, Liying Wei, Xulei Zhou, and Chenhao Zhang "Research on right turn merging conflicts at intersection based on vehicle trajectory data", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 1279055 (7 September 2023); https://doi.org/10.1117/12.2689472

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