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Effect of advanced traveler information systems and road pricing in a network with non-recurrent congestion

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  • Enrique Fernández L., J.
  • de Cea Ch, Joaquín
  • Germán Valverde, G.

Abstract

The effect of the application of advanced transport information system (ATIS) and road pricing is studied in a transportation system under non-recurrent congestion. A stochastic network deterministic user equilibrium model (SNDUE) with elastic demand is formulated and used to evaluate the welfare and private impacts of different market penetrations of ATIS, together with road pricing for a simple network. Both marginal first-best road pricing and a second-best fixed road pricing are considered. The incentives of private users to use ATIS are analyzed and the characteristics of optimum tolls as a function of ATIS market penetration are shown. We conclude that ATIS is an efficient and necessary tool to reduce the effects of non-recurrent incidents in a transportation network, especially when non-recurrent congestion causes a significant deterioration of operational conditions of the network. If the impact of non-recurrent incidents on free flow costs is small or is reduced only to congestion effects, the use of road pricing would be more efficient. Social benefits obtained when jointly implementing ATIS and road pricing are practically the same whether first-best or second-best road pricing is used. Considering the private costs perceived by the network users, and the benefits experienced by equipped users, the maximum level of market penetration achieved could be limited because private benefits disappear after certain market penetration is obtained.

Suggested Citation

  • Enrique Fernández L., J. & de Cea Ch, Joaquín & Germán Valverde, G., 2009. "Effect of advanced traveler information systems and road pricing in a network with non-recurrent congestion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 481-499, June.
    • Handle: RePEc:eee:transa:v:43:y:2009:i:5:p:481-499
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    References listed on IDEAS

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    Cited by:

    1. Yu, Xiaojuan & van den Berg, Vincent A.C. & Li, Zhi-Chun, 2023. "Congestion pricing and information provision under uncertainty: Responsive versus habitual pricing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    2. Gubins, Sergejs & Verhoef, Erik T. & de Graaff, Thomas, 2012. "Welfare effects of road pricing and traffic information under alternative ownership regimes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1304-1317.
    3. Rapoport, Amnon & Gisches, Eyran J. & Daniel, Terry & Lindsey, Robin, 2014. "Pre-trip information and route-choice decisions with stochastic travel conditions: Experiment," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 154-172.
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    5. Fang, Zhixiang & Tu, Wei & Li, Qingquan & Li, Qiuping, 2011. "A multi-objective approach to scheduling joint participation with variable space and time preferences and opportunities," Journal of Transport Geography, Elsevier, vol. 19(4), pages 623-634.
    6. Guohui Zhang & Zhong Wang & Khali Persad & C. Walton, 2014. "Enhanced traffic information dissemination to facilitate toll road utilization: a nested logit model of a stated preference survey in Texas," Transportation, Springer, vol. 41(2), pages 231-249, March.
    7. Lindsey, Robin & Daniel, Terry & Gisches, Eyran & Rapoport, Amnon, 2014. "Pre-trip information and route-choice decisions with stochastic travel conditions: Theory," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 187-207.
    8. Rouhani, Omid M. & Oliver Gao, H., 2014. "An advanced traveler general information system for Fresno, California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 254-267.

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