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Ramp metering and freeway bottleneck capacity

Author

Listed:
  • Lei Zhang
  • David Levinson

    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

The objective of this study is to determine whether ramp meters increase the capacity of active freeway bottlenecks, and if they do, how. The traffic flow characteristics at twenty-seven active bottlenecks in the Twin Cities have been studied for seven weeks without ramp metering and seven weeks with ramp metering. 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 (a 73 percent increase in the duration of the pre-queue transition period), accommodating higher (2 percent) flows during the pre-queue transition period, and increasing queue discharge flow rates after breakdown (3 percent). The two-capacity hypothesis about flow drops after breakdown was also examined and results strongly suggest the percentage flow drops at various bottlenecks follow a normal distribution (mean 5.5 percent, standard deviation 2.3 percent). The implications of these findings on the design of efficient ramp control strategies are discussed, as well as future research directions.

Suggested Citation

  • Lei Zhang & David Levinson, 2003. "Ramp metering and freeway bottleneck capacity," Working Papers 201002, University of Minnesota: Nexus Research Group.
  • Handle: RePEc:nex:wpaper:bottleneckcapacity
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    File URL: http://hdl.handle.net/11299/179995
    File Function: First version, 2007
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    References listed on IDEAS

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    1. 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.
    2. Lei Zhang & David Levinson, 2002. "Estimation of Demand Response to Ramp Metering," Working Papers 200207, University of Minnesota: Nexus Research Group.
    3. 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.
    4. 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.
    5. 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.
    6. Lei Zhang & David Levinson, 2004. "Some Properties of Flows at Freeway Bottlenecks," Working Papers 200403, University of Minnesota: Nexus Research Group.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
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    Citations

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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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Lei Zhang & David Levinson, 2004. "Some Properties of Flows at Freeway Bottlenecks," Working Papers 200403, University of Minnesota: Nexus Research Group.
    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

    transportation; travel behavior; congestion; ramp meters;
    All these keywords.

    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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