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A simple model for route guidance benefits

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  • Kanafani, A.
  • Al-Deek, H.
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    Abstract

    This paper concerns the benefits from vehicle route guidance in urban networks. We suppose that routes can be altered in such a way as to achieve system optimal assignment. Benefits are measured by the savings in total travel time when comparing this assignment with the user equilibrium, which is assumed to occur in the absence of route guidance. A continuum approach is used to analyze an idealized corridor in which a freeway is superimposed over a dense grid of surface streets. The main role of route guidance is to divert traffic from the freeway whenever its marginal cost exceeds that of the street system. It is found that saving in total system travel time of the order of 3-4% can be achieved from route guidance. Benefits are quite sensitive to city street speed. At low speed more users would choose the freeway resulting in congestion, and the potential benefits of route guidance are relatively high. However, as street speed increases and approaches that of the freeway, route guidance would be of less value as more of the motorists would be choosing the city street on their own. Benefits can be enhanced if information is customized to motorists on the basis of their origins and destinations. Finally, it is shown that benefits are reduced when the freeway network is dense. This paper does not consider important aspects of the evaluation of route guidance, such as the equity issue stemming from increasing some trip times in order to achieve system optimum, or the local impact of diverted traffic.

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    Bibliographic Info

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

    Volume (Year): 25 (1991)
    Issue (Month): 4 (August)
    Pages: 191-201

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    Handle: RePEc:eee:transb:v:25:y:1991:i:4:p:191-201

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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. 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.
    3. Khattak, Asad & Al-deek, Haitham & Yim, Youngbin & Hall, Randolph, 1992. "Bay Area ATIS Testbed Plan," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7c25x60k, Institute of Transportation Studies, UC Berkeley.
    4. 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.
    5. 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.
    6. Khattak, Asad & Al-deek, Haitham & Thananjeyan, Paramsothy, 1994. "A Combined Traveler Behavior And System Performance Model With ATIS," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt26m3r4s0, Institute of Transportation Studies, UC Berkeley.
    7. 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.
    8. Yin, Yafeng & Yang, Hai, 2003. "Simultaneous determination of the equilibrium market penetration and compliance rate of advanced traveler information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(2), pages 165-181, February.
    9. 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.
    10. Hall, Randolph W., 1997. "Effect of capacity concentration on highway corridor performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(6), pages 475-491, November.
    11. Kobayashi, Kiyoshi & Do, Myungsik, 2005. "The informational impacts of congestion tolls upon route traffic demands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 651-670.
    12. Al-deek, Haitham Mohammed, 1992. "The Role Of Advanced Traveller Information Systems In Incident Management," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt05j2d45c, Institute of Transportation Studies, UC Berkeley.
    13. Zhong, Shiquan & Zhou, Lizhen & Ma, Shoufeng & Jia, Ning, 2012. "Effects of different factors on drivers’ guidance compliance behaviors under road condition information shown on VMS," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1490-1505.

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