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Integrating Feedback into the Transportation Planning Mode

Author

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  • David Levinson

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

  • Ajay Kumar

Abstract

This research develops and applies a new structure for the transportation planning model that includes feedback between demand, assignment, and traffic control. New methods, combined with a renewed interest in transportation planning models prompted by the Clean Air Act of 1990 and the Intermodal Surface Transportation Efficiency Act of 1991, warrant a reconsideration of the traditional "four-step" transportation planning model. This paper presents an algorithm for feedback which results in consistent travel times as input to travel demand and output from route assignment. The model, including six stages of Trip Generation, Destination Choice, Mode Choice, Departure Time Choice, Route Assignment and Intersection Control is briefly outlined. This is followed by an application comparing a base year 1990 application with a forecast year of 2010. The 2010 forecast is solved both with and without feedback for comparison purposes. Incorporation of feedback gives significantly different results than the standard model.

Suggested Citation

  • David Levinson & Ajay Kumar, 1994. "Integrating Feedback into the Transportation Planning Mode," Working Papers 199404, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:feedback
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    File URL: http://hdl.handle.net/11299/179848
    File Function: First version, 2007
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    References listed on IDEAS

    as
    1. Michael Florian & Sang Nguyen & Jacques Ferland, 1975. "On the Combined Distribution-Assignment of Traffic," Transportation Science, INFORMS, vol. 9(1), pages 43-53, February.
    2. Smith, M. J., 1981. "Properties of a traffic control policy which ensure the existence of a traffic equilibrium consistent with the policy," Transportation Research Part B: Methodological, Elsevier, vol. 15(6), pages 453-462, December.
    3. Smith, M. J., 1982. "Junction interactions and monotonicity in traffic assignment," Transportation Research Part B: Methodological, Elsevier, vol. 16(1), pages 1-3, February.
    4. David Levinson, 1998. "Speed and Delay on Signalized Arterials," Working Papers 199803, University of Minnesota: Nexus Research Group.
    5. Smith, M. J., 1983. "The existence and calculation of traffic equilibria," Transportation Research Part B: Methodological, Elsevier, vol. 17(4), pages 291-303, August.
    6. Smith, M. J., 1981. "The existence of an equilibrium solution to the traffic assignment problem when there are junction interactions," Transportation Research Part B: Methodological, Elsevier, vol. 15(6), pages 443-451, December.
    7. Smith, M. J. & Ghali, M., 1990. "The dynamics of traffic assignment and traffic control: A theoretical study," Transportation Research Part B: Methodological, Elsevier, vol. 24(6), pages 409-422, December.
    8. Smith, M. J., 1985. "Traffic signals in assignment," Transportation Research Part B: Methodological, Elsevier, vol. 19(2), pages 155-160, April.
    9. Smith, M. J., 1979. "Traffic control and route-choice; a simple example," Transportation Research Part B: Methodological, Elsevier, vol. 13(4), pages 289-294, December.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. David Levinson, 1995. "An Evolutionary Transportation Planning Model: Structure and Application," Working Papers 199502, University of Minnesota: Nexus Research Group.
    2. Pavithra Parthasarathi & David M. Levinson & Ramachandra Karamalaputi, 2003. "Induced Demand: A Microscopic Perspective," Urban Studies, Urban Studies Journal Limited, vol. 40(7), pages 1335-1351, June.
    3. Ajay Kumar & David Levinson, 1994. "Specifying, Estimating and Validating a New Trip Generation Model: Case Study in Montgomery County, Maryland," Working Papers 199401, University of Minnesota: Nexus Research Group.
    4. David Levinson & Ajay Kumar, 1995. "A Multi-modal Trip Distribution Model," Working Papers 199503, University of Minnesota: Nexus Research Group.

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    More about this item

    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
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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