Networks and Spatial Economics

, Volume 1, Issue 3–4, pp 293–318 | Cite as

Network State Estimation and Prediction for Real-Time Traffic Management

  • Moshe Ben-Akiva
  • Michel Bierlaire
  • Didier Burton
  • Haris N. Koutsopoulos
  • Rabi Mishalani
Article

Abstract

Advanced Traveler Information Systems (ATIS) and Advanced Traffic Management Systems (ATMS) have the potential to contribute to the solution of the traffic congestion problem. DynaMIT is a real-time system that can be used to generate guidance for travelers. The main principle on which DynaMIT is based is that information should be consistent, and user optimal. Consistency implies that the traffic conditions experienced by the travelers are consistent with the condition assumed in generating the guidance. To generate consistent user optimal information, DynaMIT performs two main functions: state estimation and prediction. A demand simulator and a supply simulator interact to perform these tasks. A case study demonstrates the value of the system.

Departure time and rate choice anticipatory guidance consistency simulation dynamic traffic assignment 

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Copyright information

© Kluwer Academic Publishers 2001

Authors and Affiliations

  • Moshe Ben-Akiva
    • 1
  • Michel Bierlaire
    • 2
  • Didier Burton
    • 3
  • Haris N. Koutsopoulos
    • 4
  • Rabi Mishalani
    • 5
  1. 1.Department of Civil and Environmental EngineeringMassachusetts Institute of TechnologyCambridge
  2. 2.Department of MathematicsEcole Polytechnique Fédérale de LausanneLausanneSwitzerland
  3. 3.Bose CorporationFramingham
  4. 4.Volpe National Transportation Systems CenterCambridge
  5. 5.Department of Civil and Environmental Engineering and Geodetic ScienceThe Ohio State UniversityColumbus

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