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Implementing A Dynamic O-D Estimation Algorithm within the Microscopic Traffic Simulator Paramics

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  • Garcia, Reinaldo C.

Abstract

California has long recognized the potential for applying electronic and other transportation systems technologies to address the significant mobility and economic challenges in the state,and the rest of the nation.Through an aggressive Advanced Transportation Systems Program,Intelligent Transportation Systems (ITS)are being researched,built,and tested for deployment.These ITS will address today s transportation needs and those of the twenty-first century.An important element of this program is the California Advanced Transportation Management Systems Testbed (California ATMS Testbed)located in Orange County, California). The Testbed is an integrated approach to the development and deployment of advanced technologies in the management of urban transportation.Its operation is based on real-time, computer assisted traffic management and communication.Management responsibility for the development and implementation of the Testbed is vested in the University of California at Irvine (Institute of Transportation Studies),being the microscopic traffic simulator,Paramics,the primary simulator tool for the Testbed development environment. Paramics is a shell or framework for a comprehensive and extensive transportation simulation laboratory.Paramics offers important and unprecedented features,such as high performance and scalability,to handle realistic real world traffic networks under ITS. Nevertheless,Paramics has its own limitations,particularly relating to the model s ability to interface with dynamic O-D estimation.This Work addresses the continuing effort to expand the Paramics capabilities,particularly with the dynamic O-D estimation problem,making it a more complete tool to evaluate the expected net benefits of ATMS applications.

Suggested Citation

  • Garcia, Reinaldo C., 2002. "Implementing A Dynamic O-D Estimation Algorithm within the Microscopic Traffic Simulator Paramics," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0n62j6nq, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt0n62j6nq
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    1. Chang, Gang-Len & Wu, Jifeng, 1994. "Recursive estimation of time-varying origin-destination flows from traffic counts in freeway corridors," Transportation Research Part B: Methodological, Elsevier, vol. 28(2), pages 141-160, April.
    2. Nancy L. Nihan & Gary A. Davis, 1989. "Application of Prediction-Error Minimization and Maximum Likelihood to Estimate Intersection O-D Matrices from Traffic Counts," Transportation Science, INFORMS, vol. 23(2), pages 77-90, May.
    3. Nihan, Nancy L. & Davis, Gary A., 1987. "Recursive estimation of origin-destination matrices from input/output counts," Transportation Research Part B: Methodological, Elsevier, vol. 21(2), pages 149-163, April.
    4. Cremer, M. & Keller, H., 1987. "A new class of dynamic methods for the identification of origin-destination flows," Transportation Research Part B: Methodological, Elsevier, vol. 21(2), pages 117-132, April.
    5. Bell, Michael G. H., 1991. "The real time estimation of origin-destination flows in the presence of platoon dispersion," Transportation Research Part B: Methodological, Elsevier, vol. 25(2-3), pages 115-125.
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