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Exploring an Evolutionary Traffic Flow Landscape with a Fitness Approach

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  • Haynes, Kingsley

    (The School of Public Policy George Mason University Fairfax, 22030, USA)

  • Kulkarni, Rajendra
  • stough, Roger

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. However, a dense redundant network of roads provides a trip taker with alternate routes when traffic congestion accurs. Such issues raise the question of, how to evaluate the flow characteristics of the entire road network of a jurisdiction or its larer region? We explore a methodology to evaluate fitness criteria for road networks based on Kauffman’s evolutionary complexity or NK model (1993) and develop an information theorotic measure of the order or organization in transportation networks.

Suggested Citation

  • Haynes, Kingsley & Kulkarni, Rajendra & stough, Roger, 2007. "Exploring an Evolutionary Traffic Flow Landscape with a Fitness Approach," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 41, pages 17-41.
    • Handle: RePEc:ukm:jlekon:v:41:y:2007:i::p:17-41
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