Analysis of the homogeneity of driver behaviors at intersections

Le Yi Wang, Xiao Bei Jiang*, Qian Cheng, Cheng Gang Li, Wu Hong Wang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Intersections are road traffic accident-prone locations. About 10–40% of the traffic accidents take place at intersections worldwide every year. An intersection in Haidian District, Beijing was surveyed by video survey method, and the survey videos were processed and analyzed. The velocities and trajectories of the vehicles at the intersection were collected. Analysis of the homogeneity of driver behaviors shows that vehicles have the best homogeneity of velocities when passing the stop line and the crosswalk. Right-turning vehicles have the best homogeneity of velocities, left-turning vehicles take the second place, and homogeneity of velocities of straight-going vehicles is the worst. Straight-going vehicles have the best homogeneity of trajectories, right-turning vehicles take the second place, and left-turning vehicles have the worst homogeneity of trajectories. The results provide references for driver behavior modeling at intersections and the development of intersection driving assistant systems.

源语言英语
主期刊名Green Intelligent Transportation Systems - Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety
编辑Wuhong Wang, Xiaobei Jiang, Klaus Bengler, Xiaobei Jiang
出版商Springer Verlag
799-808
页数10
ISBN(印刷版)9789811035500
DOI
出版状态已出版 - 2018
活动7th International Conference on Green Intelligent Transportation System and Safety, 2016 - Nanjing, 中国
期限: 1 7月 20164 7月 2016

出版系列

姓名Lecture Notes in Electrical Engineering
419
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议7th International Conference on Green Intelligent Transportation System and Safety, 2016
国家/地区中国
Nanjing
时期1/07/164/07/16

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