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Network State Estimation and Prediction for Real-Time Traffic Management |
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| Authors: | Ben-Akiva Moshe Bierlaire Michel Burton Didier Koutsopoulos Haris N Mishalani Rabi |
| Affiliation: | (1) Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts;(2) Department of Mathematics, Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland;(3) Bose Corporation, Framingham, Massachusetts;(4) Volpe National Transportation Systems Center, Cambridge, Massachusetts;(5) Department of Civil and Environmental Engineering and Geodetic Science, The Ohio State University, Columbus, Ohio |
| 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. |
| Keywords: | Departure time and rate choice anticipatory guidance consistency simulation dynamic traffic assignment |
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