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A Highway On-Ramp Control Approach Integrating Percolation Bottleneck Analysis and Vehicle Source Identification

Author

Listed:
  • Shengnan Li

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China)

  • Hu Yang

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China)

  • Minglun Li

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China)

  • Jianjun Dai

    (Hunan Communications Research Institute Co., Ltd., Changsha 410015, China)

  • Pu Wang

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China)

Abstract

Identifying the bottleneck segments and developing targeted traffic control strategies can facilitate the mitigation of highway traffic congestion. In this study, we proposed a new method for identifying the bottleneck segment in a large highway network based on the percolation theory. A targeted on-ramp control approach was further developed by identifying the major vehicle sources of the bottleneck segment. We found that the identified bottleneck segment played a crucial role in maintaining the functional connectivity of the highway network in terms of meeting the required level of service. The targeted on-ramp control approach can more effectively enhance the service level of the highway network.

Suggested Citation

  • Shengnan Li & Hu Yang & Minglun Li & Jianjun Dai & Pu Wang, 2023. "A Highway On-Ramp Control Approach Integrating Percolation Bottleneck Analysis and Vehicle Source Identification," Sustainability, MDPI, vol. 15(16), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12608-:d:1221157
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    References listed on IDEAS

    as
    1. Zhang, Lei & Levinson, David, 2010. "Ramp metering and freeway bottleneck capacity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(4), pages 218-235, May.
    2. Tsuyoshi Yoshino & Tsuna Sasaki & Toshiharu Hasegawa, 1995. "The Traffic-Control System on the Hanshin Expressway," Interfaces, INFORMS, vol. 25(1), pages 94-108, February.
    3. Ming-hui Ma & Qing-fang Yang & Shi-dong Liang & Zhi-lin Li, 2015. "Integrated Variable Speed Limits Control and Ramp Metering for Bottleneck Regions on Freeway," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-17, October.
    4. Smaragdis, Emmanouil & Papageorgiou, Markos & Kosmatopoulos, Elias, 2004. "A flow-maximizing adaptive local ramp metering strategy," Transportation Research Part B: Methodological, Elsevier, vol. 38(3), pages 251-270, March.
    5. Minghui Ma & Shidong Liang, 2018. "An optimization approach for freeway network coordinated traffic control and route guidance," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-25, September.
    6. Lei Zhang & David Levinson, 2004. "Some Properties of Flows at Freeway Bottlenecks," Working Papers 200403, University of Minnesota: Nexus Research Group.
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    Cited by:

    1. Pu Wang & Bin Wang & Rihong Ke & Hu Yang & Shengnan Li & Jianjun Dai, 2024. "Uncovering the Spatiotemporal Patterns of Regional and Local Driver Sources in a Freeway Network," Sustainability, MDPI, vol. 16(8), pages 1-17, April.

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