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A methodology for sustainable traveler information services


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  • Lo, Hong K.
  • Szeto, W. Y.
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    The provision of traveler information services in the form of route planning and guidance (RPG) often involves three parties: service providers, users, and the traffic management agency. Each of these parties has distinctive objectives that are often in conflict with each other. This study developed a mixed-equilibrium model to consider the implementation of RPG services. We modeled the market penetration of RPG services in an elastic manner and developed a methodology to study the tradeoff among these conflicting objectives. The goal is to seek solutions that can sustain. This model can also be used to investigate the sensitivity of government policies on these services. Numerical results of a small network are provided to illustrate the behavior of this model.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

    Volume (Year): 36 (2002)
    Issue (Month): 2 (February)
    Pages: 113-130

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    Handle: RePEc:eee:transb:v:36:y:2002:i:2:p:113-130

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    1. Hearn, Donald W. & Lawphongpanich, Siriphong, 1990. "A dual ascent algorithm for traffic assignment problems," Transportation Research Part B: Methodological, Elsevier, vol. 24(6), pages 423-430, December.
    2. Kanafani, A. & Al-Deek, H., 1991. "A simple model for route guidance benefits," Transportation Research Part B: Methodological, Elsevier, vol. 25(4), pages 191-201, August.
    3. Yang, Hai, 1998. "Multiple equilibrium behaviors and advanced traveler information systems with endogenous market penetration," Transportation Research Part B: Methodological, Elsevier, vol. 32(3), pages 205-218, April.
    4. Lo, Hong K. & Chen, Anthony, 2000. "Traffic equilibrium problem with route-specific costs: formulation and algorithms," Transportation Research Part B: Methodological, Elsevier, vol. 34(6), pages 493-513, August.
    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. Bennett, Lloyd D., 1993. "The existence of equivalent mathematical programs for certain mixed equilibrium traffic assignment problems," European Journal of Operational Research, Elsevier, vol. 71(2), pages 177-187, December.
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    Cited by:
    1. Lei Zhang & David Levinson, 2006. "Determinants of Route Choice and the Value of Traveler Information," Working Papers 200808, University of Minnesota: Nexus Research Group.
    2. André De Palma & Robin Lindsey & Nathalie Picard, 2008. "Risk aversion, the value of information and traffic equilibrium," Working Papers hal-00349492, HAL.
    3. D'Acierno, Luca & Cartenì, Armando & Montella, Bruno, 2009. "Estimation of urban traffic conditions using an Automatic Vehicle Location (AVL) System," European Journal of Operational Research, Elsevier, vol. 196(2), pages 719-736, July.
    4. Lo, Hong K. & Yip, C. W. & Wan, K. H., 2003. "Modeling transfer and non-linear fare structure in multi-modal network," Transportation Research Part B: Methodological, Elsevier, vol. 37(2), pages 149-170, February.
    5. Lo, Hong K. & Szeto, W. Y., 2004. "Modeling advanced traveler information services: static versus dynamic paradigms," Transportation Research Part B: Methodological, Elsevier, vol. 38(6), pages 495-515, July.
    6. Huang, Hai-Jun & Li, Zhi-Chun, 2007. "A multiclass, multicriteria logit-based traffic equilibrium assignment model under ATIS," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1464-1477, February.
    7. Jiang, Yanqun & Wong, S.C. & Ho, H.W. & Zhang, Peng & Liu, Ruxun & Sumalee, Agachai, 2011. "A dynamic traffic assignment model for a continuum transportation system," Transportation Research Part B: Methodological, Elsevier, vol. 45(2), pages 343-363, February.


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