Re-planning Optimization of Cooperative Vehicle Coordination at Road Intersections

Chunsheng Chen; Jiping Luo; Tianhao Liang; Tingting Zhang

doi:10.1109/VTC2022-Spring54318.2022.9860511

Re-planning Optimization of Cooperative Vehicle Coordination at Road Intersections

Chunsheng Chen
, Jiping Luo
, Tianhao Liang
, Tingting Zhang^*

^*Corresponding author for this work

Harbin Institute of Technology Shenzhen

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

4 Scopus citations

Abstract

Recent investigations show that, the traffic throughput and safety could be effectively improved when vehicles follow coordination instructions from a centralized coordination center at road intersections. However, due to the inevitable noise of the vehicle control, sensing, and limited channel resources, the coordination instructions need to be 'updated' periodically. Aiming at this issue, we define a 'Yaw Risk' based re-planning strategy, which consists of a multi-vehicle re-planning selection and a multi-channel allocation scheme, to minimize the uncertainty of the entire coordination system. Variable safety redundancies of the collision-free tunnel are adopted to guarantee the tradeoff between safety and traffic throughput. Numerical results are provided and verify our analysis.

Original language	English
Title of host publication	2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665482431
DOIs	https://doi.org/10.1109/VTC2022-Spring54318.2022.9860511
State	Published - 2022
Externally published	Yes
Event	95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring - Helsinki, Finland Duration: 19 Jun 2022 → 22 Jun 2022

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2022-June
ISSN (Print)	1550-2252

Conference

Conference	95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring
Country/Territory	Finland
City	Helsinki
Period	19/06/22 → 22/06/22

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10.1109/VTC2022-Spring54318.2022.9860511

Cite this

Chen, C., Luo, J., Liang, T., & Zhang, T. (2022). Re-planning Optimization of Cooperative Vehicle Coordination at Road Intersections. In 2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings (IEEE Vehicular Technology Conference; Vol. 2022-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2022-Spring54318.2022.9860511

@inproceedings{ce624188bf1d45b490f08ab4b1932088,

title = "Re-planning Optimization of Cooperative Vehicle Coordination at Road Intersections",

abstract = "Recent investigations show that, the traffic throughput and safety could be effectively improved when vehicles follow coordination instructions from a centralized coordination center at road intersections. However, due to the inevitable noise of the vehicle control, sensing, and limited channel resources, the coordination instructions need to be 'updated' periodically. Aiming at this issue, we define a 'Yaw Risk' based re-planning strategy, which consists of a multi-vehicle re-planning selection and a multi-channel allocation scheme, to minimize the uncertainty of the entire coordination system. Variable safety redundancies of the collision-free tunnel are adopted to guarantee the tradeoff between safety and traffic throughput. Numerical results are provided and verify our analysis.",

author = "Chunsheng Chen and Jiping Luo and Tianhao Liang and Tingting Zhang",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring ; Conference date: 19-06-2022 Through 22-06-2022",

year = "2022",

doi = "10.1109/VTC2022-Spring54318.2022.9860511",

language = "英语",

series = "IEEE Vehicular Technology Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings",

address = "美国",

}

Chen, C, Luo, J, Liang, T & Zhang, T 2022, Re-planning Optimization of Cooperative Vehicle Coordination at Road Intersections. in 2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings. IEEE Vehicular Technology Conference, vol. 2022-June, Institute of Electrical and Electronics Engineers Inc., 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring, Helsinki, Finland, 19/06/22. https://doi.org/10.1109/VTC2022-Spring54318.2022.9860511

Re-planning Optimization of Cooperative Vehicle Coordination at Road Intersections. / Chen, Chunsheng; Luo, Jiping; Liang, Tianhao et al.
2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (IEEE Vehicular Technology Conference; Vol. 2022-June).

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

TY - GEN

T1 - Re-planning Optimization of Cooperative Vehicle Coordination at Road Intersections

AU - Chen, Chunsheng

AU - Luo, Jiping

AU - Liang, Tianhao

AU - Zhang, Tingting

PY - 2022

Y1 - 2022

N2 - Recent investigations show that, the traffic throughput and safety could be effectively improved when vehicles follow coordination instructions from a centralized coordination center at road intersections. However, due to the inevitable noise of the vehicle control, sensing, and limited channel resources, the coordination instructions need to be 'updated' periodically. Aiming at this issue, we define a 'Yaw Risk' based re-planning strategy, which consists of a multi-vehicle re-planning selection and a multi-channel allocation scheme, to minimize the uncertainty of the entire coordination system. Variable safety redundancies of the collision-free tunnel are adopted to guarantee the tradeoff between safety and traffic throughput. Numerical results are provided and verify our analysis.

AB - Recent investigations show that, the traffic throughput and safety could be effectively improved when vehicles follow coordination instructions from a centralized coordination center at road intersections. However, due to the inevitable noise of the vehicle control, sensing, and limited channel resources, the coordination instructions need to be 'updated' periodically. Aiming at this issue, we define a 'Yaw Risk' based re-planning strategy, which consists of a multi-vehicle re-planning selection and a multi-channel allocation scheme, to minimize the uncertainty of the entire coordination system. Variable safety redundancies of the collision-free tunnel are adopted to guarantee the tradeoff between safety and traffic throughput. Numerical results are provided and verify our analysis.

UR - https://www.scopus.com/pages/publications/85137806215

U2 - 10.1109/VTC2022-Spring54318.2022.9860511

DO - 10.1109/VTC2022-Spring54318.2022.9860511

M3 - 会议稿件

AN - SCOPUS:85137806215

T3 - IEEE Vehicular Technology Conference

BT - 2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring

Y2 - 19 June 2022 through 22 June 2022

ER -

Re-planning Optimization of Cooperative Vehicle Coordination at Road Intersections

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