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Alternative Conditions for a Well-Behaved Travel Time Model

Author

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  • Malachy Carey

    (School of Management and Economics, 25 University Square, Queen’s University, Belfast, Northern Ireland, BT7 1NN)

  • Y. E. Ge

    (School of Management and Economics, 25 University Square, Queen’s University, Belfast, Northern Ireland, BT7 1NN)

Abstract

The travel time τ( t ) on a link has often been treated in dynamic traffic assignment (DTA) as a function of the number of vehicles x(t) on the link, that is, τ( t ) = f(x(t)) . In earlier papers, bounds on the gradient of this travel time function f(x) have been introduced to ensure that the model, and in particular the exit times and outflows, have various desirable properties, including a first-in-first-out (FIFO) property. These gradient conditions can be restrictive, because most commonly used travel time functions do not satisfy the conditions for all inflow rates. However, in this paper we extend the earlier results to show that the same properties (including FIFO) can be achieved by instead assuming f(x) is convex, convex about a point, or has certain weaker properties that are satisfied by most travel time functions f(x) proposed or used in practice. These results hold under the conditions in which the travel time function τ( t ) = f(x(t)) has generally been applied in the DTA literature, that is, with each link being homogeneous (uniform capacity along the link) and without obstructions or traffic lights. In that case, even if f(x) does not satisfy the above gradient condition, the range in which it is violated is not attainable and hence cannot cause a problem.

Suggested Citation

  • Malachy Carey & Y. E. Ge, 2005. "Alternative Conditions for a Well-Behaved Travel Time Model," Transportation Science, INFORMS, vol. 39(3), pages 417-428, August.
  • Handle: RePEc:inm:ortrsc:v:39:y:2005:i:3:p:417-428
    DOI: 10.1287/trsc.1040.0089
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    References listed on IDEAS

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    1. Daoli Zhu & Patrice Marcotte, 2000. "On the Existence of Solutions to the Dynamic User Equilibrium Problem," Transportation Science, INFORMS, vol. 34(4), pages 402-414, November.
    2. Y. W. Xu & J. H. Wu & M. Florian & P. Marcotte & D. L. Zhu, 1999. "Advances in the Continuous Dynamic Network Loading Problem," Transportation Science, INFORMS, vol. 33(4), pages 341-353, November.
    3. Carey, Malachy & McCartney, Mark, 2002. "Behaviour of a whole-link travel time model used in dynamic traffic assignment," Transportation Research Part B: Methodological, Elsevier, vol. 36(1), pages 83-95, January.
    4. Wu, J. H. & Chen, Y. & Florian, M., 1998. "The continuous dynamic network loading problem: a mathematical formulation and solution method," Transportation Research Part B: Methodological, Elsevier, vol. 32(3), pages 173-187, April.
    5. Carey, Malachy, 1992. "Nonconvexity of the dynamic traffic assignment problem," Transportation Research Part B: Methodological, Elsevier, vol. 26(2), pages 127-133, April.
    6. Terry L. Friesz & David Bernstein & Tony E. Smith & Roger L. Tobin & B. W. Wie, 1993. "A Variational Inequality Formulation of the Dynamic Network User Equilibrium Problem," Operations Research, INFORMS, vol. 41(1), pages 179-191, February.
    7. Carey, Malachy & Ge, Y. E., 2003. "Comparing whole-link travel time models," Transportation Research Part B: Methodological, Elsevier, vol. 37(10), pages 905-926, December.
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    Cited by:

    1. Y. Ge & B. Sun & H. Zhang & W. Szeto & Xizhao Zhou, 2015. "A Comparison of Dynamic User Optimal States with Zero, Fixed and Variable Tolerances," Networks and Spatial Economics, Springer, vol. 15(3), pages 583-598, September.
    2. Carey, Malachy & Humphreys, Paul & McHugh, Marie & McIvor, Ronan, 2014. "Extending travel-time based models for dynamic network loading and assignment, to achieve adherence to first-in-first-out and link capacities," Transportation Research Part B: Methodological, Elsevier, vol. 65(C), pages 90-104.

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