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Field Deployment and Operational Test of an Agent-based, Multi-Jurisdictional Traffic Management System

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  • Rindt, Craig R.
  • McNally, Michael G.

Abstract

This report describes a reinterpretation of how the philosophy underlying the Cartesiusmulti-jurisdictional incident management prototype can be used as an organizing princi-ple for real-world multi-jurisdictional systems. This interpretation focuses on the power ofthe Distributed Problem Solving (DPS) approach Cartesius uses to partition analysis andoptimization functions in the system across jurisdictions. This partitioning minimizes theamount of local information that must be shared between jurisdictions and paves the way fordefining a collection of TMC-to-TMC messages that support the Cartesius DPS perspectivein a manner that respects existing deployments. Based on this interpretation, the report recommends building a new TMC software agentthat provides operators with a view of the system from Cartesius DPS perspective. This toolwill initially be advisory in nature, providing operators with guidance regarding how localactions are likely to conflict with the actions of neighboring jurisdictions (or lack thereof).Where it is appropriate, and where local policy permits, the new management agent couldalso be connected to available control subsystems to provide operational or tactical controlin response to problems in the system.

Suggested Citation

  • Rindt, Craig R. & McNally, Michael G., 2007. "Field Deployment and Operational Test of an Agent-based, Multi-Jurisdictional Traffic Management System," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0nd2p0k4, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt0nd2p0k4
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    References listed on IDEAS

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    1. Nie, Yu & Zhang, H.M. & Recker, W.W., 2005. "Inferring origin-destination trip matrices with a decoupled GLS path flow estimator," Transportation Research Part B: Methodological, Elsevier, vol. 39(6), pages 497-518, July.
    2. Logi, Filippo, 1999. "CARTESIUS: A Cooperative Approach to Real-Time Decision Support for Multi-Jurisdictional Traffic Congestion Management," University of California Transportation Center, Working Papers qt60p449bh, University of California Transportation Center.
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    Cited by:

    1. Rindt, Craig R. & McNally, Michael G., 2009. "Cartesius and CTNET Integration and Field Operational Test," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1qn7q6zf, Institute of Transportation Studies, UC Berkeley.

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