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Route switching behavior on freeways with the provision of different types of real-time traffic information

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  • Jou, Rong-Chang
  • Lam, Soi-Hoi
  • Liu, Yu-Hsin
  • Chen, Ke-Hong
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    Abstract

    This study investigates route switching behavior on freeways in reaction to the provision of different types of real-time traffic information. The experimental design of the stated preference survey is based on four types of real-time information provided to travelers who were randomly selected at rest areas. The four types of real-time information defined in this paper are qualitative, quantitative, qualitative guidance, and quantitative guidance. The bounded rationality framework, also known as indifference band approach, is applied to model the freeway route switching behavior. Two important variables, travel time and travel cost, are included in the indifference band. In this study, the best route switching rule, travelers' current routes as compared to the best route, is investigated to further provide valuable insights into freeways travelers' route switching behavior with the provision of different types of real-time traffic information.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 39 (2005)
    Issue (Month): 5 (June)
    Pages: 445-461

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    Handle: RePEc:eee:transa:v:39:y:2005:i:5:p:445-461

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    1. Mohamed Abdel-Aty & M. Abdalla, 2004. "Modeling drivers' diversion from normal routes under ATIS using generalized estimating equations and binomial probit link function," Transportation, Springer, vol. 31(3), pages 327-348, August.
    2. Srinivasan, Karthik K. & Mahmassani, Hani S., 2003. "Analyzing heterogeneity and unobserved structural effects in route-switching behavior under ATIS: a dynamic kernel logit formulation," Transportation Research Part B: Methodological, Elsevier, vol. 37(9), pages 793-814, November.
    3. David Levinson, 2003. "The Value of Advanced Traveler Information Systems for Route Choice," Working Papers 200307, University of Minnesota: Nexus Research Group.
    4. Liu, Yu-Hsin & Mahmassani, Hani S., 2000. "Global maximum likelihood estimation procedure for multinomial probit (MNP) model parameters," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 419-449, June.
    5. Jou, Rong-Chang, 2001. "Modeling the impact of pre-trip information on commuter departure time and route choice," Transportation Research Part B: Methodological, Elsevier, vol. 35(10), pages 887-902, November.
    6. Khattak, Asad J. & Schofer, Joseph L. & Koppelman, Frank S., 1993. "Commuters' enroute diversion and return decisions: Analysis and implications for advanced traveler information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(2), pages 101-111, April.
    7. Emmerink, Richard H. M. & Nijkamp, Peter & Rietveld, Piet & Van Ommeren, Jos N., 1996. "Variable message signs and radio traffic information: An integrated empirical analysis of drivers' route choice behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(2), pages 135-153, March.
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    Cited by:
    1. 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.
    2. Caspar Chorus & Theo Arentze & Harry Timmermans, 2007. "Information impact on quality of multimodal travel choices: conceptualizations and empirical analyses," Transportation, Springer, vol. 34(6), pages 625-645, November.
    3. Rong Zhang & Erik T. Verhoef, 2004. "A Monopolistic Market for Advanced Traveller Information Systems and Road Use Efficiency," Tinbergen Institute Discussion Papers 04-014/3, Tinbergen Institute.
    4. Chorus, Caspar G. & Timmermans, Harry J.P., 2009. "Measuring user benefits of changes in the transport system when traveler awareness is limited," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 536-547, June.
    5. Jou, Rong-Chang & Chen, Ke-Hong, 2013. "An application of cumulative prospect theory to freeway drivers’ route choice behaviours," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 123-131.
    6. Liu, Yu-Hsin, 2011. "Incorporating scatter search and threshold accepting in finding maximum likelihood estimates for the multinomial probit model," European Journal of Operational Research, Elsevier, vol. 211(1), pages 130-138, May.

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