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Departure Time and Route Choice

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Author Info

  • R. Arnott
  • A. de Palma
  • R. Lindsey

Abstract

Early studies of peak-period traffic congestion generally ignored the departure time decision of road users. Vickrey (1969) and Kocur (1981) remedied this oversight by deriving the departure rate along a single route subject to queuing congestion as the outcome of individual utility maximization. Arnott et al (1985) extend their work, examining alternative toll schemes and deriving rules for optimal capacity. This paper extends these analyses to a simple network of routes in parallel.

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Bibliographic Info

Paper provided by Queen's University, Department of Economics in its series Working Papers with number 658.

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Length: 33 pages
Date of creation: 1986
Date of revision:
Handle: RePEc:qed:wpaper:658

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Cited by:
  1. Simon Shepherd, 2008. "The effect of complex models of externalities on estimated optimal tolls," Transportation, Springer, vol. 35(4), pages 559-577, July.
  2. Robin Lindsey & André de Palma, 1997. "Private Toll Roads: A Dynamic Equilibrium Analysis," Tinbergen Institute Discussion Papers 97-057/3, Tinbergen Institute.
  3. Wuping Xin & David Levinson, 2006. "Stochastic congestion and pricing model with endogenous departure time selection and heterogeneous travelers," Working Papers 000029, University of Minnesota: Nexus Research Group.
  4. Yu Nie & H. Zhang, 2010. "Solving the Dynamic User Optimal Assignment Problem Considering Queue Spillback," Networks and Spatial Economics, Springer, vol. 10(1), pages 49-71, March.
  5. Erik Verhoef, 1997. "Time-Varying Tolls in a Dynamic Model of Road Traffic Congestion with Elastic Demand," Tinbergen Institute Discussion Papers 97-028/3, Tinbergen Institute.
  6. Romeo Danielis & Edoardo Marcucci, 1999. "Bottleneck Congestion and Modal Split Revisited," Working Papers 1999.5, Fondazione Eni Enrico Mattei.
  7. Richard Arnott, 1992. "Information and Usage of Congestible Facilities Under Free Access," Discussion Papers 974, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

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