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Evolutionary Traffic Flow Landscapes: A Fitness Approach for ITS Management

In: Network Science, Nonlinear Science and Infrastructure Systems

Author

Listed:
  • Kingsley E. Haynes

    (George Mason University)

  • Rajendra G. Kulkarni

    (George Mason University)

  • Roger R. Stough

    (George Mason University)

Abstract

The road patterns of major metropolitan areas and constituent jurisdictions evolve slowly through a complex set of independent and interdependent decisions producing a transportation network. The resulting network must be used for variety of commuting and spatial interaction activity. A typical trip taker spends considerable time on the road to reach the workplace and other destinations. Adding more links to existing road networks and/or increasing traffic capacity by adding lanes does not necessarily decrease travel times (e.g. Braess’ paradox). However a dense redundant network of roads provides a trip taker with alternate routes when traffic jams occur. Such issues raise the question of, how to evaluate the flow characteristics of the entire road network of a jurisdiction and its larger region? How might the impact of adding more links/lanes or blocking existing links/lanes be best measured? To answer these and related questions, we propose a methodology to evaluate a fitness criteria for road networks based on Kauffman’s NK model (1993) and develop an information theoretic measure of the order or organization in transportation networks.

Suggested Citation

  • Kingsley E. Haynes & Rajendra G. Kulkarni & Roger R. Stough, 2007. "Evolutionary Traffic Flow Landscapes: A Fitness Approach for ITS Management," International Series in Operations Research & Management Science, in: Terry L. Friesz (ed.), Network Science, Nonlinear Science and Infrastructure Systems, chapter 0, pages 123-146, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-71134-8_6
    DOI: 10.1007/0-387-71134-1_6
    as

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