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Using Microsimulation Feedback for Trip Adaptation for Realistic Traffic in Dallas

Author

Listed:
  • K. Nagel
  • Christopher L. Barrett

Abstract

This paper presents a day-to-day re-routing relaxation approach for traffic simulations. Starting from an initial planset for the routes, the route-based microsimulation is exxecuted. The result of the microsimulation is fed into a re-router, which re-routes a certain percentage of all trips. This approach makes the traffic patterns in the microsimulation much more reasonable. Further, it is shown that the method described in this paper can lead to strong oscillations in the solutions.

Suggested Citation

  • K. Nagel & Christopher L. Barrett, 1997. "Using Microsimulation Feedback for Trip Adaptation for Realistic Traffic in Dallas," Working Papers 97-03-028, Santa Fe Institute.
    • Handle: RePEc:wop:safiwp:97-03-028
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    Cited by:

    1. Robert Axtell & Joseph A. E. Shaheen, 2021. "Agent‐based models with qualitative data are thought experiments, not policy engines: A commentary on Lustick and Tetlock 2021," Futures & Foresight Science, John Wiley & Sons, vol. 3(2), June.
    2. Liu, Ronghui & Van Vliet, Dirck & Watling, David, 2006. "Microsimulation models incorporating both demand and supply dynamics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 125-150, February.
    3. Farkas, Illés J. & Vicsek, Tamás, 2006. "Initiating a Mexican wave: An instantaneous collective decision with both short- and long-range interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 369(2), pages 830-840.
    4. Martin L. Hazelton & David P. Watling, 2004. "Computation of Equilibrium Distributions of Markov Traffic-Assignment Models," Transportation Science, INFORMS, vol. 38(3), pages 331-342, August.
    5. David Watling, 2002. "A Second Order Stochastic Network Equilibrium Model, II: Solution Method and Numerical Experiments," Transportation Science, INFORMS, vol. 36(2), pages 167-183, May.

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