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Ramp Meters on Trial: Evidence from the Twin Cities Metering Holiday

Author

Listed:
  • David Levinson

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

  • Lei Zhang

Abstract

Ramp meters in the Twin Cities have been the subject of a recent test of their effectiveness, involving turning them off for 8 weeks. This paper analyzes the results with and without ramp metering for several representative freeways during the afternoon peak period. Seven performance measures: mobility, equity, productivity, consumers' surplus, accessibility, travel time variation and travel demand responses are compared. It is found that ramp meters are particularly helpful for long trips relative to short trips.Ramp metering, while generally beneficial to freeway segments, may not improve trip travel times (including ramp delays). The reduction in travel time variation comprises another benefit from ramp meters. Non-work trips and work trips respond differently to ramp meters. The results are mixed, suggesting a more refined ramp control algorithm,which explicitly considers ramp delay, is in order.

Suggested Citation

  • David Levinson & Lei Zhang, 2006. "Ramp Meters on Trial: Evidence from the Twin Cities Metering Holiday," Working Papers 200604, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:rampmetersontrial
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    File URL: http://hdl.handle.net/11299/179940
    File Function: First version, 2007
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    Citations

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    Cited by:

    1. Zheng, Liang & Xue, Xinfeng & Xu, Chengcheng & Ran, Bin, 2019. "A stochastic simulation-based optimization method for equitable and efficient network-wide signal timing under uncertainties," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 287-308.
    2. 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.
    3. Wei Chen & David Levinson, 2004. "Traffic Management Systems," Working Papers 200411, University of Minnesota: Nexus Research Group.
    4. Coifman, Benjamin A. & Mallika, Ramachandran, 2007. "Distributed surveillance on freeways emphasizing incident detection and verification," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(8), pages 750-767, October.
    5. Satya Muthuswamy & Gary Davis & David Levinson & Panos Michalopoulos, 2004. "Freeway Origin Destination Matrices: Not as Simple as They Seem," Working Papers 000031, University of Minnesota: Nexus Research Group.
    6. Shen, Wei & Zhang, H.M., 2010. "Pareto-improving ramp metering strategies for reducing congestion in the morning commute," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 676-696, November.
    7. 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.
    8. Lei Zhang & Feng xie & David Levinson, 2007. "Illusion of Motion: Variation of Subjective Value of Travel Time on Freeways and Ramp Meters," Working Papers 200903, University of Minnesota: Nexus Research Group.
    9. King, David A. & Fischer, Lauren Ames, 2016. "Streetcar projects as spatial planning: A shift in transport planning in the United States," Journal of Transport Geography, Elsevier, vol. 54(C), pages 383-390.

    More about this item

    Keywords

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    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
    • D10 - Microeconomics - - Household Behavior - - - General
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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