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Modeling advanced traveler information services: static versus dynamic paradigms

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  • Lo, Hong K.
  • Szeto, W. Y.

Abstract

This paper develops a cell-based variational inequality formulation of the dynamic traffic assignment (DTA) problem to evaluate the impact of advanced traveler information systems (ATIS) services. It considers two classes of drivers: those with ATIS and those without. Both classes are modeled to follow the stochastic dynamic user optimal conditions, with the equipped drivers having a lower perception variation of the network travel time due to the availability of better information. The model represents traffic dynamics according to the cell-transmission model, including such physical effects as queue spillback, shockwaves, etc. One objective of this study is to compare and contrast the static versus the dynamic modeling paradigms for this problem. The numerical study indicates that some aspects of the results from these two paradigms could be diametrical. The discrepancy is mainly attributed to the fundamental characteristic of a model--how traffic is represented. It appears that simplifications from the physical queue representation are inadequate in producing correct results, especially for already congested networks wherein junction blockage is common.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:transb:v:38:y:2004:i:6:p:495-515
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Lo, Hong K. & Szeto, W. Y., 2002. "A cell-based variational inequality formulation of the dynamic user optimal assignment problem," Transportation Research Part B: Methodological, Elsevier, vol. 36(5), pages 421-443, June.
    4. Lo, Hong K. & Szeto, W. Y., 2002. "A methodology for sustainable traveler information services," Transportation Research Part B: Methodological, Elsevier, vol. 36(2), pages 113-130, February.
    5. Daganzo, Carlos F., 1995. "The cell transmission model, part II: Network traffic," Transportation Research Part B: Methodological, Elsevier, vol. 29(2), pages 79-93, April.
    6. Al-Deek, Haitham M. & Khattak, Asad J. & Thananjeyan, Paramsothy, 1998. "A combined traveler behavior and system performance model with advanced traveler information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(7), pages 479-493, September.
    7. 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.
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    Cited by:

    1. W. Szeto & Y. Jiang & D. Wang & A. Sumalee, 2015. "A Sustainable Road Network Design Problem with Land Use Transportation Interaction over Time," Networks and Spatial Economics, Springer, vol. 15(3), pages 791-822, September.
    2. Lei Zhang & David Levinson, 2006. "Determinants of Route Choice and the Value of Traveler Information," Working Papers 200808, University of Minnesota: Nexus Research Group.
    3. Bifulco, Gennaro N. & Cantarella, Giulio E. & Simonelli, Fulvio & VelonĂ , Pietro, 2016. "Advanced traveller information systems under recurrent traffic conditions: Network equilibrium and stability," Transportation Research Part B: Methodological, Elsevier, vol. 92(PA), pages 73-87.
    4. 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.
    5. Long, Jiancheng & Szeto, W.Y. & Huang, Hai-Jun & Gao, Ziyou, 2015. "An intersection-movement-based stochastic dynamic user optimal route choice model for assessing network performance," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 182-217.

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