Hierarchical Control Based on Ramp Metering and Variable Speed Limit for Port Motorway
Congestion on port motorways often leads to reduced capacity and traffic efficiency, while the growing prevalence of connected vehicles (CVs) offers new opportunities for improving traffic control. This paper proposes a hierarchical control method integrating ramp metering (RM) and variable speed limits (VSLs) explicitly designed for port motorway environments dominated by CVs. The method uses real-time CV data to reduce congestion through a hierarchical control framework in which the upper-level optimization determines system-wide parameters, and the lower-level execution translates them into local control commands. A microscopic simulation using SUMO in the Guoju area of the Chuanshan Port Motorway demonstrated that the proposed method increases traffic capacity by approximately 16% compared to the no-control scenario and improves traffic efficiency by 4.8% and 4.5% compared to PI-ALINEA and MTFC-FB, respectively. Further experiments in varying CV penetration rates (MPRs) from 60% to 100% revealed that while lower MPRs result in higher traffic fluctuations, the method remains effective and robust, particularly when MPRs exceed 80%. This highlights its ability to mitigate congestion and enhance the utilization of the existing infrastructure.
Authors
- Yusheng Zhou (ORCID: https://orcid.org/0000-0002-8795-3423)
- Hangsheng Yang (ORCID: https://orcid.org/0000-0002-5968-9223)
- Pengjun Zheng (ORCID: https://orcid.org/0000-0003-3834-1401)
- Meng Li (ORCID: https://orcid.org/0000-0002-0062-0299)
- Yibing Wang (ORCID: https://orcid.org/0000-0001-9937-2055)
- Weiqi Yue (ORCID: https://orcid.org/0009-0000-8918-6443)
Institutions
- Ningbo University (CN)
- Hong Kong Polytechnic University (HK)
- Zhejiang University (CN)
- Southeast University (CN)
Publication Details
- Journal
- Systems
- Published
- 2025-06-06
- DOI
- https://doi.org/10.3390/systems13060446
- Citations
- 1
- Primary Topic
- Industrial Automation and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- National Natural Science Foundation of China
- Ningbo University
- Horizon 2020 Framework Programme
- National Key Research and Development Program of China