Critical safety distance model of human-vehicle unit based on traffic conflict at urban intersections

Fang Li; Le Yi Wang; Wu Hong Wang; Xiao Bei Jiang

doi:10.1007/978-981-10-3551-7_54

Critical safety distance model of human-vehicle unit based on traffic conflict at urban intersections

Fang Li, Le Yi Wang, Wu Hong Wang^*, Xiao Bei Jiang

^*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

Traffic safety problem is one of the main problems faced by road traffic system, which attracts more and more attention of the society. Intersection is the bottleneck of the urban road traffic system. A large proportion of traffic accidents take place at intersections. On the basis of the existing critical conflict zone model, the human-vehicle unit driving states were further divided into longitudinal driving state, lateral driving state, and intersectional driving state, and traffic conflicts at intersections were analyzed. Emphasis was put on traffic conflict danger potential reaction of the human-vehicle unit in intersectional driving state. Combined with traffic rules, the risk identification model based on traffic conflict in intersection condition was built. Calculation examples show that the model can well simulate the actual traffic conditions and improve the precision and practicability of the original model. The theory of driver behavior and traffic safety has also been expanded and enriched.

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	673-684
Number of pages	12
ISBN (Print)	9789811035500
DOIs	https://doi.org/10.1007/978-981-10-3551-7_54
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

Keywords

Critical conflict zone
Driver behavior
Traffic conflict
Traffic safety evaluation

UN SDGs

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

Access to Document

10.1007/978-981-10-3551-7_54

Cite this

Li, F., Wang, L. Y., Wang, W. H., & Jiang, X. B. (2018). Critical safety distance model of human-vehicle unit based on traffic conflict at urban 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. 673-684). (Lecture Notes in Electrical Engineering; Vol. 419). Springer Verlag. https://doi.org/10.1007/978-981-10-3551-7_54

Li, Fang ; Wang, Le Yi ; Wang, Wu Hong et al. / Critical safety distance model of human-vehicle unit based on traffic conflict at urban 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. 673-684 (Lecture Notes in Electrical Engineering).

@inproceedings{f68a68cb61e34222a2156074ba1cbad4,

title = "Critical safety distance model of human-vehicle unit based on traffic conflict at urban intersections",

abstract = "Traffic safety problem is one of the main problems faced by road traffic system, which attracts more and more attention of the society. Intersection is the bottleneck of the urban road traffic system. A large proportion of traffic accidents take place at intersections. On the basis of the existing critical conflict zone model, the human-vehicle unit driving states were further divided into longitudinal driving state, lateral driving state, and intersectional driving state, and traffic conflicts at intersections were analyzed. Emphasis was put on traffic conflict danger potential reaction of the human-vehicle unit in intersectional driving state. Combined with traffic rules, the risk identification model based on traffic conflict in intersection condition was built. Calculation examples show that the model can well simulate the actual traffic conditions and improve the precision and practicability of the original model. The theory of driver behavior and traffic safety has also been expanded and enriched.",

keywords = "Critical conflict zone, Driver behavior, Traffic conflict, Traffic safety evaluation",

author = "Fang Li and Wang, {Le Yi} and Wang, {Wu Hong} and Jiang, {Xiao Bei}",

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_54",

language = "English",

isbn = "9789811035500",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

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

address = "Germany",

}

Li, F, Wang, LY, Wang, WH & Jiang, XB 2018, Critical safety distance model of human-vehicle unit based on traffic conflict at urban 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. 673-684, 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_54

Critical safety distance model of human-vehicle unit based on traffic conflict at urban intersections. / Li, Fang; Wang, Le Yi; Wang, Wu Hong 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. 673-684 (Lecture Notes in Electrical Engineering; Vol. 419).

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

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T1 - Critical safety distance model of human-vehicle unit based on traffic conflict at urban intersections

AU - Li, Fang

AU - Wang, Le Yi

AU - Wang, Wu Hong

AU - Jiang, Xiao Bei

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

PY - 2018

Y1 - 2018

N2 - Traffic safety problem is one of the main problems faced by road traffic system, which attracts more and more attention of the society. Intersection is the bottleneck of the urban road traffic system. A large proportion of traffic accidents take place at intersections. On the basis of the existing critical conflict zone model, the human-vehicle unit driving states were further divided into longitudinal driving state, lateral driving state, and intersectional driving state, and traffic conflicts at intersections were analyzed. Emphasis was put on traffic conflict danger potential reaction of the human-vehicle unit in intersectional driving state. Combined with traffic rules, the risk identification model based on traffic conflict in intersection condition was built. Calculation examples show that the model can well simulate the actual traffic conditions and improve the precision and practicability of the original model. The theory of driver behavior and traffic safety has also been expanded and enriched.

AB - Traffic safety problem is one of the main problems faced by road traffic system, which attracts more and more attention of the society. Intersection is the bottleneck of the urban road traffic system. A large proportion of traffic accidents take place at intersections. On the basis of the existing critical conflict zone model, the human-vehicle unit driving states were further divided into longitudinal driving state, lateral driving state, and intersectional driving state, and traffic conflicts at intersections were analyzed. Emphasis was put on traffic conflict danger potential reaction of the human-vehicle unit in intersectional driving state. Combined with traffic rules, the risk identification model based on traffic conflict in intersection condition was built. Calculation examples show that the model can well simulate the actual traffic conditions and improve the precision and practicability of the original model. The theory of driver behavior and traffic safety has also been expanded and enriched.

KW - Critical conflict zone

KW - Driver behavior

KW - Traffic conflict

KW - Traffic safety evaluation

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DO - 10.1007/978-981-10-3551-7_54

M3 - Conference contribution

AN - SCOPUS:85026779667

SN - 9789811035500

T3 - Lecture Notes in Electrical Engineering

SP - 673

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

A2 - Wang, Wuhong

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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 -

Li F, Wang LY, Wang WH , Jiang XB. Critical safety distance model of human-vehicle unit based on traffic conflict at urban 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. 673-684. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-10-3551-7_54

Critical safety distance model of human-vehicle unit based on traffic conflict at urban intersections

Abstract

Publication series

Conference

Keywords

UN SDGs

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