IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12608-d1221157.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12608/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/16/12608/
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michael L. Anderson & Lucas W. Davis, 2018. "Two Empirical Tests of Hypercongestion," NBER Working Papers 24469, National Bureau of Economic Research, Inc.
    2. Kim, Kwangho & Cassidy, Michael J., 2012. "A capacity-increasing mechanism in freeway traffic," Transportation Research Part B: Methodological, Elsevier, vol. 46(9), pages 1260-1272.
    3. 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.
    4. Pengsen Yang & Minghui Ma & Chaoteng Wu, 2024. "Ecologically Oriented Freeway Control Methods Integrated Speed Limits and Ramp Toll Booths Layout," Sustainability, MDPI, vol. 16(11), pages 1-14, May.
    5. Kontorinaki, Maria & Karafyllis, Iasson & Papageorgiou, Markos, 2019. "Local and coordinated ramp metering within the unifying framework of an adaptive control scheme," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 89-113.
    6. Čičić, Mladen & Johansson, Karl Henrik, 2022. "Front-tracking transition system model for traffic state reconstruction, model learning, and control with application to stop-and-go wave dissipation," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 212-236.
    7. Hall, Jonathan D., 2018. "Pareto improvements from Lexus Lanes: The effects of pricing a portion of the lanes on congested highways," Journal of Public Economics, Elsevier, vol. 158(C), pages 113-125.
    8. Ma, Xiaobo & Karimpour, Abolfazl & Wu, Yao-Jan, 2020. "Statistical evaluation of data requirement for ramp metering performance assessment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 248-261.
    9. van Erp, Paul B.C. & Knoop, Victor L. & Hoogendoorn, Serge P., 2018. "Macroscopic traffic state estimation using relative flows from stationary and moving observers," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 281-299.
    10. Changle Sun & Hongyan Gao, 2019. "Traffic Model and On-Ramp Metering Strategy under Foggy Weather Conditions Using T-S Fuzzy Systems," Complexity, Hindawi, vol. 2019, pages 1-12, December.
    11. Reilly, Jack & Martin, Sébastien & Payer, Mathias & Bayen, Alexandre M., 2016. "Creating complex congestion patterns via multi-objective optimal freeway traffic control with application to cyber-security," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 366-382.
    12. Liu, Wei & Yin, Yafeng & Yang, Hai, 2015. "Effectiveness of variable speed limits considering commuters’ long-term response," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 498-519.
    13. Ouyang, Pengying & Liu, Pan & Guo, Yanyong & Chen, Kequan, 2023. "Effects of configuration elements and traffic flow conditions on Lane-Changing rates at the weaving segments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    14. He, Ziliang & Wang, Ling & Su, Zicheng & Ma, Wanjing, 2024. "Integrating variable speed limit and ramp metering to enhance vehicle group safety and efficiency in a mixed traffic environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 641(C).
    15. Han, Youngjun & Chen, Danjue & Ahn, Soyoung, 2017. "Variable speed limit control at fixed freeway bottlenecks using connected vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 113-134.
    16. Jovanović, Aleksandar & Kukić, Katarina & Stevanović, Aleksandar, 2021. "A fuzzy logic simulation model for controlling an oversaturated diverge diamond interchange and ramp metering system," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 182(C), pages 165-181.
    17. Chow, Andy H.F. & Lu, Xiao-Yun & Qiu, Tony Z., 2009. "Empirical Analysis of Traffic Breakdown Probability Distribution with Respect to Speed and Occupancy," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt35j7r3t5, Institute of Transportation Studies, UC Berkeley.
    18. Lapardhaja, Servet & Jalota, Devansh & Doig, Jean & Almubarak, Abdullah & Cassidy, Michael, 2021. "Testing alternative treatments for underused carpool lanes on narrow freeways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 139-149.
    19. Rudjanakanoknad, Jittichai, 2005. "Increasing Freeway Merge Capacity Through On-Ramp Metering," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3js9x18d, Institute of Transportation Studies, UC Berkeley.
    20. Xiqun (Michael) Chen & Zhiheng Li & Li Li & Qixin Shi, 2014. "A Traffic Breakdown Model Based on Queueing Theory," Networks and Spatial Economics, Springer, vol. 14(3), pages 485-504, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12608-:d:1221157. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.