Model Predictive Control for Three-Intersection Traffic Control Including Bus-Only Lanes

Zhentao Huang; Li Dai; Shu Lin; Zhongqi Sun; Yufeng Zhan; Yuanqing Xia

doi:10.1109/CAC59555.2023.10451405

Model Predictive Control for Three-Intersection Traffic Control Including Bus-Only Lanes

Zhentao Huang
, Li Dai^*
, Shu Lin
, Zhongqi Sun
, Yufeng Zhan
, Yuanqing Xia

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology
University of Chinese Academy of Sciences

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

Abstract

In this paper, we propose a model predictive control (MPC) method based on an enhanced urban traffic model. The aim is to enhance intersection access efficiency and alleviate congestion. The model incorporates two main improvements: 1) the separate modeling of ordinary vehicles and buses on urban roads, taking into account dedicated lanes and stops for buses, and 2) the inclusion of three intersections in the traffic network to capture the interactive influence of two road sections. Building upon this improved model, we design an MPC controller to regulate the traffic light status at the intersections and effectively control traffic flow. We provide simulation results of the controller implemented in the traffic network and compare with other scheme to validate the effectiveness of the model and control strategy.

Original language	English
Title of host publication	Proceedings - 2023 China Automation Congress, CAC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	7768-7774
Number of pages	7
ISBN (Electronic)	9798350303759
DOIs	https://doi.org/10.1109/CAC59555.2023.10451405
Publication status	Published - 2023
Event	2023 China Automation Congress, CAC 2023 - Chongqing, China Duration: 17 Nov 2023 → 19 Nov 2023

Publication series

Name	Proceedings - 2023 China Automation Congress, CAC 2023

Conference

Conference	2023 China Automation Congress, CAC 2023
Country/Territory	China
City	Chongqing
Period	17/11/23 → 19/11/23

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

model predictive control
traffic flow control
traffic light
urban traffic model

Access to Document

10.1109/CAC59555.2023.10451405

Cite this

Huang, Z., Dai, L., Lin, S., Sun, Z., Zhan, Y., & Xia, Y. (2023). Model Predictive Control for Three-Intersection Traffic Control Including Bus-Only Lanes. In Proceedings - 2023 China Automation Congress, CAC 2023 (pp. 7768-7774). (Proceedings - 2023 China Automation Congress, CAC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAC59555.2023.10451405

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title = "Model Predictive Control for Three-Intersection Traffic Control Including Bus-Only Lanes",

abstract = "In this paper, we propose a model predictive control (MPC) method based on an enhanced urban traffic model. The aim is to enhance intersection access efficiency and alleviate congestion. The model incorporates two main improvements: 1) the separate modeling of ordinary vehicles and buses on urban roads, taking into account dedicated lanes and stops for buses, and 2) the inclusion of three intersections in the traffic network to capture the interactive influence of two road sections. Building upon this improved model, we design an MPC controller to regulate the traffic light status at the intersections and effectively control traffic flow. We provide simulation results of the controller implemented in the traffic network and compare with other scheme to validate the effectiveness of the model and control strategy.",

keywords = "model predictive control, traffic flow control, traffic light, urban traffic model",

author = "Zhentao Huang and Li Dai and Shu Lin and Zhongqi Sun and Yufeng Zhan and Yuanqing Xia",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 China Automation Congress, CAC 2023 ; Conference date: 17-11-2023 Through 19-11-2023",

year = "2023",

doi = "10.1109/CAC59555.2023.10451405",

language = "English",

series = "Proceedings - 2023 China Automation Congress, CAC 2023",

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

pages = "7768--7774",

booktitle = "Proceedings - 2023 China Automation Congress, CAC 2023",

address = "United States",

}

Huang, Z, Dai, L, Lin, S, Sun, Z , Zhan, Y & Xia, Y 2023, Model Predictive Control for Three-Intersection Traffic Control Including Bus-Only Lanes. in Proceedings - 2023 China Automation Congress, CAC 2023. Proceedings - 2023 China Automation Congress, CAC 2023, Institute of Electrical and Electronics Engineers Inc., pp. 7768-7774, 2023 China Automation Congress, CAC 2023, Chongqing, China, 17/11/23. https://doi.org/10.1109/CAC59555.2023.10451405

Model Predictive Control for Three-Intersection Traffic Control Including Bus-Only Lanes. / Huang, Zhentao; Dai, Li; Lin, Shu et al.
Proceedings - 2023 China Automation Congress, CAC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 7768-7774 (Proceedings - 2023 China Automation Congress, CAC 2023).

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

TY - GEN

T1 - Model Predictive Control for Three-Intersection Traffic Control Including Bus-Only Lanes

AU - Huang, Zhentao

AU - Dai, Li

AU - Lin, Shu

AU - Sun, Zhongqi

AU - Zhan, Yufeng

AU - Xia, Yuanqing

PY - 2023

Y1 - 2023

N2 - In this paper, we propose a model predictive control (MPC) method based on an enhanced urban traffic model. The aim is to enhance intersection access efficiency and alleviate congestion. The model incorporates two main improvements: 1) the separate modeling of ordinary vehicles and buses on urban roads, taking into account dedicated lanes and stops for buses, and 2) the inclusion of three intersections in the traffic network to capture the interactive influence of two road sections. Building upon this improved model, we design an MPC controller to regulate the traffic light status at the intersections and effectively control traffic flow. We provide simulation results of the controller implemented in the traffic network and compare with other scheme to validate the effectiveness of the model and control strategy.

AB - In this paper, we propose a model predictive control (MPC) method based on an enhanced urban traffic model. The aim is to enhance intersection access efficiency and alleviate congestion. The model incorporates two main improvements: 1) the separate modeling of ordinary vehicles and buses on urban roads, taking into account dedicated lanes and stops for buses, and 2) the inclusion of three intersections in the traffic network to capture the interactive influence of two road sections. Building upon this improved model, we design an MPC controller to regulate the traffic light status at the intersections and effectively control traffic flow. We provide simulation results of the controller implemented in the traffic network and compare with other scheme to validate the effectiveness of the model and control strategy.

KW - model predictive control

KW - traffic flow control

KW - traffic light

KW - urban traffic model

UR - https://www.scopus.com/pages/publications/85189363551

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DO - 10.1109/CAC59555.2023.10451405

M3 - Conference contribution

AN - SCOPUS:85189363551

T3 - Proceedings - 2023 China Automation Congress, CAC 2023

SP - 7768

EP - 7774

BT - Proceedings - 2023 China Automation Congress, CAC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 China Automation Congress, CAC 2023

Y2 - 17 November 2023 through 19 November 2023

ER -

Model Predictive Control for Three-Intersection Traffic Control Including Bus-Only Lanes

Abstract

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UN SDGs

Keywords

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