Analysis of the homogeneity of driver behaviors at intersections

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

doi:10.1007/978-981-10-3551-7_64

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

机械与车辆学院

Beijing Institute of Technology

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
页	799-808
页数	10
ISBN（印刷版）	9789811035500
DOI	https://doi.org/10.1007/978-981-10-3551-7_64
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 2016 → 4 7月 2016

出版系列

姓名	Lecture Notes in Electrical Engineering
卷	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
市	Nanjing
时期	1/07/16 → 4/07/16

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1007/978-981-10-3551-7_64

其它文件与链接

链接到 Scopus 的出版物

引用此

Wang, L. Y., Jiang, X. B., Cheng, Q., Li, C. G., & Wang, W. H. (2018). Analysis of the homogeneity of driver behaviors at intersections. 在 W. Wang, X. Jiang, K. Bengler, & X. Jiang (编辑), Green Intelligent Transportation Systems - Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety (页码 799-808). (Lecture Notes in Electrical Engineering; 卷 419). Springer Verlag. https://doi.org/10.1007/978-981-10-3551-7_64

Wang, Le Yi ; Jiang, Xiao Bei ; Cheng, Qian 等. / Analysis of the homogeneity of driver behaviors at intersections. 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. Springer Verlag, 2018. 页码 799-808 (Lecture Notes in Electrical Engineering).

@inproceedings{3ad9d9e6108d434f9792100876fd2283,

title = "Analysis of the homogeneity of driver behaviors at intersections",

abstract = "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.",

keywords = "Driver behavior, Homogeneity, Intersection, Traffic safety",

author = "Wang, \{Le Yi\} and Jiang, \{Xiao Bei\} and Qian Cheng and Li, \{Cheng Gang\} and Wang, \{Wu Hong\}",

note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2018.; 7th International Conference on Green Intelligent Transportation System and Safety, 2016 ; Conference date: 01-07-2016 Through 04-07-2016",

year = "2018",

doi = "10.1007/978-981-10-3551-7\_64",

language = "English",

isbn = "9789811035500",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "799--808",

editor = "Wuhong Wang and Xiaobei Jiang and Klaus Bengler and Xiaobei Jiang",

booktitle = "Green Intelligent Transportation Systems - Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety",

address = "Germany",

}

Wang, LY, Jiang, XB, Cheng, Q, Li, CG & Wang, WH 2018, Analysis of the homogeneity of driver behaviors at intersections. 在 W Wang, X Jiang, K Bengler & X Jiang (编辑), Green Intelligent Transportation Systems - Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety. Lecture Notes in Electrical Engineering, 卷 419, Springer Verlag, 页码 799-808, 7th International Conference on Green Intelligent Transportation System and Safety, 2016, Nanjing, 中国, 1/07/16. https://doi.org/10.1007/978-981-10-3551-7_64

Analysis of the homogeneity of driver behaviors at intersections. / Wang, Le Yi; Jiang, Xiao Bei; Cheng, Qian 等.
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. Springer Verlag, 2018. 页码 799-808 (Lecture Notes in Electrical Engineering; 卷 419).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Analysis of the homogeneity of driver behaviors at intersections

AU - Wang, Le Yi

AU - Jiang, Xiao Bei

AU - Cheng, Qian

AU - Li, Cheng Gang

AU - Wang, Wu Hong

N1 - Publisher Copyright: © Springer Science+Business Media Singapore 2018.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Driver behavior

KW - Homogeneity

KW - Intersection

KW - Traffic safety

UR - https://www.scopus.com/pages/publications/85026725105

U2 - 10.1007/978-981-10-3551-7_64

DO - 10.1007/978-981-10-3551-7_64

M3 - Conference contribution

AN - SCOPUS:85026725105

SN - 9789811035500

T3 - Lecture Notes in Electrical Engineering

SP - 799

EP - 808

BT - Green Intelligent Transportation Systems - Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety

A2 - Wang, Wuhong

A2 - Jiang, Xiaobei

A2 - Bengler, Klaus

A2 - Jiang, Xiaobei

PB - Springer Verlag

T2 - 7th International Conference on Green Intelligent Transportation System and Safety, 2016

Y2 - 1 July 2016 through 4 July 2016

ER -

Wang LY, Jiang XB, Cheng Q, Li CG, Wang WH. Analysis of the homogeneity of driver behaviors at intersections. 在 Wang W, Jiang X, Bengler K, Jiang X, 编辑, Green Intelligent Transportation Systems - Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety. Springer Verlag. 2018. 页码 799-808. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-10-3551-7_64

Analysis of the homogeneity of driver behaviors at intersections

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此