Efficient traffic coordination strategies at intersections using multiple collision sets

Yangan Mo; Mengqi Wang; Tingting Zhang; Hongguang Xu

doi:10.1007/978-981-13-6508-9_124

Efficient traffic coordination strategies at intersections using multiple collision sets

Yangan Mo^*
, Mengqi Wang
, Tingting Zhang
, Hongguang Xu

^*Corresponding author for this work

Harbin Institute of Technology Shenzhen

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

Abstract

Appropriate traffic coordination at intersections where multiple roads merge plays an important role in modern intelligent transportations systems. In this paper, we try to propose an efficient traffic coordination framework using multiple collision sets. Aiming at the essentially non-convex problem, we try to reformulate the original problem into a mixed binary integer quadratic programming one by proper relaxations. Low complexity solutions are also given afterwards. Numeric results show that the traffic throughput at intersections can be significantly improved compared to the existing investigations.

Original language	English
Title of host publication	Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3
Subtitle of host publication	Systems
Editors	Qilian Liang, Xin Liu, Zhenyu Na, Wei Wang, Jiasong Mu, Baoju Zhang
Publisher	Springer Verlag
Pages	1022-1030
Number of pages	9
ISBN (Print)	9789811365072
DOIs	https://doi.org/10.1007/978-981-13-6508-9_124
State	Published - 2020
Externally published	Yes
Event	International Conference on Communications, Signal Processing, and Systems, CSPS 2018 - Dalian, China Duration: 14 Jul 2018 → 16 Jul 2018

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	517
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Communications, Signal Processing, and Systems, CSPS 2018
Country/Territory	China
City	Dalian
Period	14/07/18 → 16/07/18

Keywords

Intelligent transportations
Intersection coordination
Mixed binary integer programming
Traffic optimization

Access to Document

10.1007/978-981-13-6508-9_124

Cite this

Mo, Y., Wang, M., Zhang, T., & Xu, H. (2020). Efficient traffic coordination strategies at intersections using multiple collision sets. In Q. Liang, X. Liu, Z. Na, W. Wang, J. Mu, & B. Zhang (Eds.), Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3: Systems (pp. 1022-1030). (Lecture Notes in Electrical Engineering; Vol. 517). Springer Verlag. https://doi.org/10.1007/978-981-13-6508-9_124

Mo, Yangan ; Wang, Mengqi ; Zhang, Tingting et al. / Efficient traffic coordination strategies at intersections using multiple collision sets. Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3: Systems. editor / Qilian Liang ; Xin Liu ; Zhenyu Na ; Wei Wang ; Jiasong Mu ; Baoju Zhang. Springer Verlag, 2020. pp. 1022-1030 (Lecture Notes in Electrical Engineering).

@inproceedings{c527e1e65eca47958aaec08e4024e3e7,

title = "Efficient traffic coordination strategies at intersections using multiple collision sets",

abstract = "Appropriate traffic coordination at intersections where multiple roads merge plays an important role in modern intelligent transportations systems. In this paper, we try to propose an efficient traffic coordination framework using multiple collision sets. Aiming at the essentially non-convex problem, we try to reformulate the original problem into a mixed binary integer quadratic programming one by proper relaxations. Low complexity solutions are also given afterwards. Numeric results show that the traffic throughput at intersections can be significantly improved compared to the existing investigations.",

keywords = "Intelligent transportations, Intersection coordination, Mixed binary integer programming, Traffic optimization",

author = "Yangan Mo and Mengqi Wang and Tingting Zhang and Hongguang Xu",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2020.; International Conference on Communications, Signal Processing, and Systems, CSPS 2018 ; Conference date: 14-07-2018 Through 16-07-2018",

year = "2020",

doi = "10.1007/978-981-13-6508-9\_124",

language = "英语",

isbn = "9789811365072",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "1022--1030",

editor = "Qilian Liang and Xin Liu and Zhenyu Na and Wei Wang and Jiasong Mu and Baoju Zhang",

booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3",

address = "德国",

}

Mo, Y, Wang, M, Zhang, T & Xu, H 2020, Efficient traffic coordination strategies at intersections using multiple collision sets. in Q Liang, X Liu, Z Na, W Wang, J Mu & B Zhang (eds), Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3: Systems. Lecture Notes in Electrical Engineering, vol. 517, Springer Verlag, pp. 1022-1030, International Conference on Communications, Signal Processing, and Systems, CSPS 2018, Dalian, China, 14/07/18. https://doi.org/10.1007/978-981-13-6508-9_124

Efficient traffic coordination strategies at intersections using multiple collision sets. / Mo, Yangan; Wang, Mengqi; Zhang, Tingting et al.
Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3: Systems. ed. / Qilian Liang; Xin Liu; Zhenyu Na; Wei Wang; Jiasong Mu; Baoju Zhang. Springer Verlag, 2020. p. 1022-1030 (Lecture Notes in Electrical Engineering; Vol. 517).

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

TY - GEN

T1 - Efficient traffic coordination strategies at intersections using multiple collision sets

AU - Mo, Yangan

AU - Wang, Mengqi

AU - Zhang, Tingting

AU - Xu, Hongguang

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2020.

PY - 2020

Y1 - 2020

N2 - Appropriate traffic coordination at intersections where multiple roads merge plays an important role in modern intelligent transportations systems. In this paper, we try to propose an efficient traffic coordination framework using multiple collision sets. Aiming at the essentially non-convex problem, we try to reformulate the original problem into a mixed binary integer quadratic programming one by proper relaxations. Low complexity solutions are also given afterwards. Numeric results show that the traffic throughput at intersections can be significantly improved compared to the existing investigations.

AB - Appropriate traffic coordination at intersections where multiple roads merge plays an important role in modern intelligent transportations systems. In this paper, we try to propose an efficient traffic coordination framework using multiple collision sets. Aiming at the essentially non-convex problem, we try to reformulate the original problem into a mixed binary integer quadratic programming one by proper relaxations. Low complexity solutions are also given afterwards. Numeric results show that the traffic throughput at intersections can be significantly improved compared to the existing investigations.

KW - Intelligent transportations

KW - Intersection coordination

KW - Mixed binary integer programming

KW - Traffic optimization

UR - https://www.scopus.com/pages/publications/85068357911

U2 - 10.1007/978-981-13-6508-9_124

DO - 10.1007/978-981-13-6508-9_124

M3 - 会议稿件

AN - SCOPUS:85068357911

SN - 9789811365072

T3 - Lecture Notes in Electrical Engineering

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EP - 1030

BT - Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3

A2 - Liang, Qilian

A2 - Liu, Xin

A2 - Na, Zhenyu

A2 - Wang, Wei

A2 - Mu, Jiasong

A2 - Zhang, Baoju

PB - Springer Verlag

T2 - International Conference on Communications, Signal Processing, and Systems, CSPS 2018

Y2 - 14 July 2018 through 16 July 2018

ER -

Mo Y, Wang M, Zhang T , Xu H. Efficient traffic coordination strategies at intersections using multiple collision sets. In Liang Q, Liu X, Na Z, Wang W, Mu J, Zhang B, editors, Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3: Systems. Springer Verlag. 2020. p. 1022-1030. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-13-6508-9_124

Efficient traffic coordination strategies at intersections using multiple collision sets

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