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Improving City Mobility through Gridlock Control: an Approach and Some Ideas

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  • Daganzo, Carlos F.

Abstract

This paper examines the effect of gridlock on urban mobility. It defines gridlock and shows how it can be modeled, monitored and controlled with parsimonious models that do not rely on detailed forecasts. The proposed approach to gridlock management should be most effective when based on real-time observation of relevant spatially aggregated measures of traffic performance. This is discussed in detail. The ideas in this paper suggest numerous avenues for research at the empirical and theoretical levels. An appendix summarizes some of these.

Suggested Citation

  • Daganzo, Carlos F., 2005. "Improving City Mobility through Gridlock Control: an Approach and Some Ideas," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7w6232wq, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt7w6232wq
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    References listed on IDEAS

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    1. Lago, Alejandro, 2003. "Spatial Models of Morning Commute Consistent with Realistic Traffic Behavior," University of California Transportation Center, Working Papers qt4nd315bv, University of California Transportation Center.
    2. Atef Ghobrial & Carlos F. Daganzo & Tarif Kazimi, 1982. "Baggage Claim Area Congestion at Airports: An Empirical Model of Mechanized Claim Device Performance," Transportation Science, INFORMS, vol. 16(2), pages 246-260, May.
    3. Newell, G. F., 1993. "A simplified theory of kinematic waves in highway traffic, part III: Multi-destination flows," Transportation Research Part B: Methodological, Elsevier, vol. 27(4), pages 305-313, August.
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    Cited by:

    1. Pandey, Ayush & Lehe, Lewis J. & Gayah, Vikash V., 2024. "Local stability of traffic equilibria in an isotropic network," Transportation Research Part B: Methodological, Elsevier, vol. 179(C).
    2. Anupriya, & Graham, Daniel J. & Bansal, Prateek & Hörcher, Daniel & Anderson, Richard, 2023. "Optimal congestion control strategies for near-capacity urban metros: Informing intervention via fundamental diagrams," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    3. Daganzo, Carlos F & Lehe, Lewis J, 2014. "Distance-dependent Congestion Pricing for Downtown Zones," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9vz1b9rs, Institute of Transportation Studies, UC Berkeley.
    4. Eric J. Gonzales & Nikolas Geroliminis & Michael J. Cassidy & Carlos F. Daganzo, 2010. "On the allocation of city space to multiple transport modes," Transportation Planning and Technology, Taylor & Francis Journals, vol. 33(8), pages 643-656, September.
    5. Daganzo, Carlos F., 2007. "Urban gridlock: Macroscopic modeling and mitigation approaches," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 49-62, January.
    6. Stamos, Iraklis & Salanova Grau, Josep Maria & Mitsakis, Evangelos, 2013. "Μακροσκοπικά Θεμελιώδη Διαγράμματα: Ευρήματα Μέσω Προσομοίωσης Για Το Οδικό Δίκτυο Της Θεσσαλονίκης [Macroscopic fundamental diagrams: Simulation based findings from the road network of Thessalonik," MPRA Paper 61538, University Library of Munich, Germany.
    7. Daganzo, Carlos F. & Geroliminis, Nikolas, 2008. "An analytical approximation for the macroscopic fundamental diagram of urban traffic," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 771-781, November.
    8. Anupriya, & Bansal, Prateek & Graham, Daniel J., 2023. "Congestion in cities: Can road capacity expansions provide a solution?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    9. Daganzo, Carlos F & Geroliminis, Nikolas, 2008. "An analytical approximation for the macropscopic fundamental diagram of urban traffic," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4cb8h3jm, Institute of Transportation Studies, UC Berkeley.
    10. Daganzo, Carlos F. & Lehe, Lewis J., 2015. "Distance-dependent congestion pricing for downtown zones," Transportation Research Part B: Methodological, Elsevier, vol. 75(C), pages 89-99.
    11. Lehe, Lewis J. & Pandey, Ayush, 2024. "A bathtub model of transit congestion," Transportation Research Part B: Methodological, Elsevier, vol. 181(C).
    12. Daganzo, Carlos F. & Gayah, Vikash V. & Gonzales, Eric J., 2010. "Macroscopic Relations of Urban Traffic Variables: An Analysis of Instability," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7qd590bv, Institute of Transportation Studies, UC Berkeley.
    13. José Gerardo Carrillo-González & Guillermo López-Maldonado & Juan Lopez-Sauceda & Francisco Perez-Martinez, 2023. "Method for Selecting the Vehicles That Can Enter a Street Network to Maintain the Speed on Links above a Speed Threshold," Sustainability, MDPI, vol. 15(13), pages 1-29, June.
    14. Geroliminis, Nikolas & Daganzo, Carlos F., 2008. "Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 759-770, November.
    15. Gayah, Vikash V. & Daganzo, Carlos F., 2010. "Exploring the Effect of Turning Maneuvers and Route Choice ona Simple Network," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6kg0d8ds, Institute of Transportation Studies, UC Berkeley.
    16. Jingqiu Guo & Xinyao Chen & Yuqi Pang & Yibing Wang & Pengjun Zheng, 2019. "Bottlenecks, Shockwave, and Off-Ramp Blockage on Freeways," Sustainability, MDPI, vol. 11(18), pages 1-23, September.

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