An optimal integrated control strategy of urban expressway and adjacent signalized intersection with rolling horizon framework in MPC method

Urban expressway congestion around on-ramp bottlenecks is associated with traffic conditions on the main road, on-ramp and adjacent signalized intersection. Existing coordinated control strategies have rarely considered these components as a unified system. To enhance traffic system operation, this paper proposes an optimal integrated control strategy based on the model predictive control (MPC) method. Within the rolling horizon control framework, this strategy integrates ramp metering and intersection signal timing. To validate its effectiveness, simulation scenarios were developed in VISSIM software, based on a section of the South Ring Road in Ningbo, China. In contrast, the proposed strategy overall outperforms the other two referring strategies, as it improves mainline and on-ramp traffic. Additionally, traffic operation of movements at the intersection is slightly better. Therefore, the integrated control strategy ensures mainline traffic efficiency while balancing on-ramp and intersection traffic. Comparatively, referring strategy 2 exhibits poorer performance at the on-ramp and intersection, which optimally coordinates mainline speed limit, ramp metering and intersection signal timing. Traffic fluctuations on the main road due to dynamic speed limits have a negative impact on overall traffic performance.

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Publication Details

Journal
PLoS ONE
Published
2025-05-27
DOI
https://doi.org/10.1371/journal.pone.0323263
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00
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article

An optimal integrated control strategy of urban expressway and adjacent signalized intersection with rolling horizon framework in MPC method

Yuan Zheng, Linghui Xu, Shuichao Zhang, Xionglin Fan et al.
PLoS ONE
Traffic control and management
article

An optimal integrated control strategy of urban expressway and adjacent signalized intersection with rolling horizon framework in MPC method

Yuan Zheng, Linghui Xu, Shuichao Zhang, Xionglin Fan, Longjian Wang
article en

Abstract

Urban expressway congestion around on-ramp bottlenecks is associated with traffic conditions on the main road, on-ramp and adjacent signalized intersection. Existing coordinated control strategies have rarely considered these components as a unified system. To enhance traffic system operation, this paper proposes an optimal integrated control strategy based on the model predictive control (MPC) method. Within the rolling horizon control framework, this strategy integrates ramp metering and intersection signal timing. To validate its effectiveness, simulation scenarios were developed in VISSIM software, based on a section of the South Ring Road in Ningbo, China. In contrast, the proposed strategy overall outperforms the other two referring strategies, as it improves mainline and on-ramp traffic. Additionally, traffic operation of movements at the intersection is slightly better. Therefore, the integrated control strategy ensures mainline traffic efficiency while balancing on-ramp and intersection traffic. Comparatively, referring strategy 2 exhibits poorer performance at the on-ramp and intersection, which optimally coordinates mainline speed limit, ramp metering and intersection signal timing. Traffic fluctuations on the main road due to dynamic speed limits have a negative impact on overall traffic performance.

PLoS ONEVol. 20(5)
University of Nottingham Ningbo China (CN), Ningbo University of Technology (CN), Southeast University (CN)
Sustainable cities and communities
Openalex Percentile: Top 88%
Traffic control and management
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An optimal integrated control strategy of urban expressway and adjacent signalized intersection with rolling horizon framework in MPC method — Yuan Zheng, Linghui Xu, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS