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

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Green Intelligent Transportation Systems - Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety
Editors	Wuhong Wang, Xiaobei Jiang, Klaus Bengler, Xiaobei Jiang
Publisher	Springer Verlag
Pages	799-808
Number of pages	10
ISBN (Print)	9789811035500
DOIs	https://doi.org/10.1007/978-981-10-3551-7_64
Publication status	Published - 2018
Event	7th International Conference on Green Intelligent Transportation System and Safety, 2016 - Nanjing, China Duration: 1 Jul 2016 → 4 Jul 2016

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	419
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	7th International Conference on Green Intelligent Transportation System and Safety, 2016
Country/Territory	China
City	Nanjing
Period	1/07/16 → 4/07/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Driver behavior
Homogeneity
Intersection
Traffic safety

Access to Document

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

Cite this

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

Wang, Le Yi ; Jiang, Xiao Bei ; Cheng, Qian et al. / 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. editor / Wuhong Wang ; Xiaobei Jiang ; Klaus Bengler ; Xiaobei Jiang. Springer Verlag, 2018. pp. 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. in W Wang, X Jiang, K Bengler & X Jiang (eds), Green Intelligent Transportation Systems - Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety. Lecture Notes in Electrical Engineering, vol. 419, Springer Verlag, pp. 799-808, 7th International Conference on Green Intelligent Transportation System and Safety, 2016, Nanjing, China, 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 et al.
Green Intelligent Transportation Systems - Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety. ed. / Wuhong Wang; Xiaobei Jiang; Klaus Bengler; Xiaobei Jiang. Springer Verlag, 2018. p. 799-808 (Lecture Notes in Electrical Engineering; Vol. 419).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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. In Wang W, Jiang X, Bengler K, Jiang X, editors, Green Intelligent Transportation Systems - Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety. Springer Verlag. 2018. p. 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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