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Ramp metering and freeway bottleneck capacity

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  • Zhang, Lei
  • Levinson, David

Abstract

This study aims to determine whether ramp meters increase the capacity of active freeway bottlenecks. The traffic flow characteristics at 27 active bottlenecks in the Twin Cities have been studied for seven weeks without ramp metering and seven weeks with ramp metering. A methodology for systematically identifying active freeway bottlenecks in a metropolitan area is proposed, which relies on two occupancy threshold values and is compared to an established diagnostic method - transformed cumulative count curves. A series of hypotheses regarding the relationships between ramp metering and the capacity of active bottlenecks are developed and tested against empirical traffic data. It is found that meters increase the bottleneck capacity by postponing and sometimes eliminating bottleneck activations, accommodating higher flows during the pre-queue transition period, and increasing queue discharge flow rates after breakdown. Results also suggest that flow drops after breakdown and the percentage flow drops at various bottlenecks follow a normal distribution. The implications of these findings on the design of efficient ramp control strategies, as well as future research directions, are discussed.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:transa:v:44:y:2010:i:4:p:218-235
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    1. Cassidy, Michael J. & Bertini, Robert L., 1999. "Some traffic features at freeway bottlenecks," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 25-42, February.
    2. Cassidy, Michael J. & Rudjanakanoknad, Jittichai, 2002. "Study of Traffic at a Freeway Merge and Roles for Ramp Metering," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt744926sv, Institute of Transportation Studies, UC Berkeley.
    3. Lei Zhang & David Levinson, 2002. "Estimation of Demand Response to Ramp Metering," Working Papers 200207, University of Minnesota: Nexus Research Group.
    4. Windover, John R. & Cassidy, Michael J., 2001. "Some observed details of freeway traffic evolution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(10), pages 881-894, December.
    5. David Levinson & Atif Sheikh, 2002. "Traffic Equilibration: The Case of the Twin Cities Ramp Meter Shut Off," Working Papers 200206, University of Minnesota: Nexus Research Group.
    6. Zhang, Lei & Levinson, David, 2004. "Optimal freeway ramp control without origin-destination information," Transportation Research Part B: Methodological, Elsevier, vol. 38(10), pages 869-887, December.
    7. Levinson, David & Zhang, Lei, 2006. "Ramp meters on trial: Evidence from the Twin Cities metering holiday," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 810-828, December.
    8. Bogenberger, Klaus & May, Adolf D., 1999. "Advanced Coordinated Traffic Responsive Ramp Metering Strategies," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3pq977ts, Institute of Transportation Studies, UC Berkeley.
    9. Cassidy, M. J. & Mauch, Michael, 2001. "An observed traffic pattern in long freeway queues," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(2), pages 143-156, February.
    10. 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. 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.
    2. 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).
    3. 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.
    4. 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.
    5. Li, Xiang & Sun, Jian-Qiao, 2017. "Studies of vehicle lane-changing dynamics and its effect on traffic efficiency, safety and environmental impact," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 41-58.
    6. Lei Zhang & David Levinson, 2004. "Some Properties of Flows at Freeway Bottlenecks," Working Papers 200403, University of Minnesota: Nexus Research Group.
    7. 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.
    8. 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.

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    More about this item

    Keywords

    Ramp metering Highway capacity Active bottleneck Queue discharge flow Twin Cities ramp meter shut-off;

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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