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Time-Dependent, Label-Constrained Shortest Path Problems with Applications

Author

Listed:
  • Hanif D. Sherali

    (Grado Department of Industrial and Systems Engineering (0118), Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061)

  • Antoine G. Hobeika

    (Department of Civil and Environmental Engineering (0105), Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061)

  • Sasikul Kangwalklai

    (Accenture, One Market, Spear Street Tower, Suite 3700, San Francisco, California 94105)

Abstract

In this paper, we consider a variant of shortest path problems where, in addition to congestion related time-dependent link travel times on a given transportation network, we also have specific labels for each arc denoting particular modes of travel. The problem then involves finding a time-dependent shortest path from an origin node to a destination node that also conforms with some admissible string of labels. This problem arises in the Route Planner Module of Transportation Analysis Simulation System (TRANSIMS), which is developed by the Los Alamos National Laboratory and is part of a multitrack Travel Model Improvement Program sponsored by the U.S. Department of Transportation (DOT) and the Environmental Protection Agency (EPA). We propose an effective algorithm for this problem by adapting efficient existing partitioned shortest path algorithmic schemes to handle time dependency along with the label constraints. We also develop several heuristics to curtail the search based on various route restrictions, indicators of progress, and projected travel times to complete the trip. The proposed methodology is applied to solve some real multimodal test problems related to the Portland, Oregon, transportation system. Computational results for both the exact method and the heuristic curtailing schemes are provided.

Suggested Citation

  • Hanif D. Sherali & Antoine G. Hobeika & Sasikul Kangwalklai, 2003. "Time-Dependent, Label-Constrained Shortest Path Problems with Applications," Transportation Science, INFORMS, vol. 37(3), pages 278-293, August.
    • Handle: RePEc:inm:ortrsc:v:37:y:2003:i:3:p:278-293
    DOI: 10.1287/trsc.37.3.278.16042
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    References listed on IDEAS

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    1. Fred Glover & Darwin D. Klingman & Nancy V. Phillips & Robert F. Schneider, 1985. "New Polynomial Shortest Path Algorithms and Their Computational Attributes," Management Science, INFORMS, vol. 31(9), pages 1106-1128, September.
    2. F. Glover & D. Klingman & N. Phillips, 1985. "A New Polynomially Bounded Shortest Path Algorithm," Operations Research, INFORMS, vol. 33(1), pages 65-73, February.
    3. Stuart E. Dreyfus, 1969. "An Appraisal of Some Shortest-Path Algorithms," Operations Research, INFORMS, vol. 17(3), pages 395-412, June.
    4. Refael Hassin, 1992. "Approximation Schemes for the Restricted Shortest Path Problem," Mathematics of Operations Research, INFORMS, vol. 17(1), pages 36-42, February.
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    Cited by:

    1. Yannick Kergosien & Antoine Giret & Emmanuel Néron & Gaël Sauvanet, 2022. "An Efficient Label-Correcting Algorithm for the Multiobjective Shortest Path Problem," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 76-92, January.
    2. Qian Ye & Hyun Kim, 2019. "Partial Node Failure in Shortest Path Network Problems," Sustainability, MDPI, vol. 11(22), pages 1-21, November.

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