Traffic Hierarchical Control Strategy in Mixed Traffic Flow Environment via Perimeter Control and Traffic Guidance

Research on traffic control under mixed flow has become a hot topic. However, most current strategies only focus on traffic efficiency and lack consideration of regional safety. In this study, we developed a traffic hierarchical control strategy based on MFD (Macroscopic Fundamental Diagram) and MSD (Macroscopic Safety Diagram) that integrates traffic guidance and perimeter control in a mixed traffic flow environment, aiming to alleviate regional congestion, improve the trip-completion efficiency of regional traffic flow, and ensure the safety throughout the region. The strategy is divided into two layers. The upper-level controller calculates the critical accumulation in real time that achieves the best balance between traffic efficiency and safety based on MFD and MSD and feedback to lower-level controllers. The lower-level controllers maintain the number of vehicles in an interval near the critical accumulation through perimeter control and path guidance. A simulated network from Suzhou, China, is used to verify the proposed model, and the results show that the model improves both traffic efficiency and safety.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.184
Primary Topic
Simulation and Modeling Applications
Type
article
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article

Traffic Hierarchical Control Strategy in Mixed Traffic Flow Environment via Perimeter Control and Traffic Guidance

Qifan Nie, Weike Lu, Jiannan Mao, Chuan Sun et al.
Simulation and Modeling Applications
article

Traffic Hierarchical Control Strategy in Mixed Traffic Flow Environment via Perimeter Control and Traffic Guidance

Qifan Nie, Weike Lu, Jiannan Mao, Chuan Sun, Jianguo Wang
article en

Abstract

Research on traffic control under mixed flow has become a hot topic. However, most current strategies only focus on traffic efficiency and lack consideration of regional safety. In this study, we developed a traffic hierarchical control strategy based on MFD (Macroscopic Fundamental Diagram) and MSD (Macroscopic Safety Diagram) that integrates traffic guidance and perimeter control in a mixed traffic flow environment, aiming to alleviate regional congestion, improve the trip-completion efficiency of regional traffic flow, and ensure the safety throughout the region. The strategy is divided into two layers. The upper-level controller calculates the critical accumulation in real time that achieves the best balance between traffic efficiency and safety based on MFD and MSD and feedback to lower-level controllers. The lower-level controllers maintain the number of vehicles in an interval near the critical accumulation through perimeter control and path guidance. A simulated network from Suzhou, China, is used to verify the proposed model, and the results show that the model improves both traffic efficiency and safety.

University of Alabama (US), Soochow University (CN), University Transportation Center for Alabama (US), Southwest Jiaotong University (CN), Tsinghua University (CN)
Sustainable cities and communities
Openalex Percentile: Top 73%
Simulation and Modeling Applications
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