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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationProceedings - 2023 China Automation Congress, CAC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7768-7774
Number of pages7
ISBN (Electronic)9798350303759
DOIs
Publication statusPublished - 2023
Event2023 China Automation Congress, CAC 2023 - Chongqing, China
Duration: 17 Nov 202319 Nov 2023

Publication series

NameProceedings - 2023 China Automation Congress, CAC 2023

Conference

Conference2023 China Automation Congress, CAC 2023
Country/TerritoryChina
CityChongqing
Period17/11/2319/11/23

Keywords

  • model predictive control
  • traffic flow control
  • traffic light
  • urban traffic model

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