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Simulating Travel Reliability

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  • Noland, Robert B.
  • Small, Kenneth A.
  • Koskenoja, Pia Maria
  • Chu, Xuehao

Abstract

We present a simulation model designed to determine the impact on congestion of policies for dealing with travel time uncertainty. The model combines a supply side model of congestion delay with a discrete choice econometric demand model that predicts scheduling choices for morning commute trips. The supply model describes congestion technology and exogenously specifies the probability, severity, and duration of non-recurrent events. From these, given traffic volumes, a distribution of travel times is generated, from which a mean, a standard deviation, and a probability of arriving late are calculated. The demand model uses these outputs from the supply model as independent variables and choices are forecast using sample enumeration and a synthetic sample of work start times and free flow travel times. The process is iterated until a stable congestion pattern is achieved. We report on the components of expected cost and the average travel delay for selected simulations.

Suggested Citation

  • Noland, Robert B. & Small, Kenneth A. & Koskenoja, Pia Maria & Chu, Xuehao, 1997. "Simulating Travel Reliability," University of California Transportation Center, Working Papers qt30w220k0, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt30w220k0
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    References listed on IDEAS

    as
    1. Donald P. Gaver, 1968. "Headstart Strategies for Combating Congestion," Transportation Science, INFORMS, vol. 2(2), pages 172-181, May.
    2. Henderson, J. Vernon, 1981. "The economics of staggered work hours," Journal of Urban Economics, Elsevier, vol. 9(3), pages 349-364, May.
    3. Noland, Robert B., 1997. "Commuter Responses to Travel Time Uncertainty under Congested Conditions: Expected Costs and the Provision of Information," Journal of Urban Economics, Elsevier, vol. 41(3), pages 377-406, May.
    4. Moshe Ben-Akiva & Andre de Palma & Pavlos Kanaroglou, 1986. "Dynamic Model of Peak Period Traffic Congestion with Elastic Arrival Rates," Transportation Science, INFORMS, vol. 20(3), pages 164-181, August.
    5. Koskenoja, Pia Maria K., 1996. "The Effect of Unreliable Commuting Time on Commuter Preferences," University of California Transportation Center, Working Papers qt0rj9z9cv, University of California Transportation Center.
    6. Andre de Palma & Moshe Ben-Akiva & Claude Lefevre & Nicolaos Litinas, 1983. "Stochastic Equilibrium Model of Peak Period Traffic Congestion," Transportation Science, INFORMS, vol. 17(4), pages 430-453, November.
    7. Marvin Kraus, 1981. "Indivisibilities, Economies of Scale, and Optimal Subsidy Policy for Freeways," Land Economics, University of Wisconsin Press, vol. 57(1), pages 115-121.
    8. Small, K. & Noland, R. & Koskenoja, P., 1995. "Socio-economic Attributes And Impacts Of Travel Reliability: A Stated Preference Approach," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt82n2w53k, Institute of Transportation Studies, UC Berkeley.
    9. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1990. "Economics of a bottleneck," Journal of Urban Economics, Elsevier, vol. 27(1), pages 111-130, January.
    10. Paul W. Wilson, 1989. "Scheduling Costs and the Value of Travel Time," Urban Studies, Urban Studies Journal Limited, vol. 26(3), pages 356-366, June.
    11. Chu Xuehao, 1995. "Endogenous Trip Scheduling: The Henderson Approach Reformulated and Compared with the Vickrey Approach," Journal of Urban Economics, Elsevier, vol. 37(3), pages 324-343, May.
    12. Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-260, May.
    13. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-479, June.
    14. Skabardonis, Alexander & Noeimi, Hisham & Petty, Karl & Rydzewski, Dan & Varaiya, Pravin & Al-deek, Haitham, 1995. "Freeway Service Patrol Evaluation," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt36r1t2m2, Institute of Transportation Studies, UC Berkeley.
    15. Chu, Xeuhao, 1993. "Trip Scheduling and Economic Analysis of Transportation Policies," University of California Transportation Center, Working Papers qt36p986pv, University of California Transportation Center.
    16. Koskenoja, Pia Maria K., 1996. "The Effect of Unreliable Commuting Time on Commuter Preferences," University of California Transportation Center, Working Papers qt5cq3632j, University of California Transportation Center.
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    Keywords

    Social and Behavioral Sciences;

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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