Evolutionary Traffic Flow Landscapes: A Fitness Approach for ITS Management

Kingsley E. Haynes (), Rajendra G. Kulkarni and Roger R. Stough
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Kingsley E. Haynes: George Mason University
Rajendra G. Kulkarni: George Mason University
Roger R. Stough: George Mason University

Chapter Chapter 6 in Network Science, Nonlinear Science and Infrastructure Systems, 2007, pp 123-146 from Springer

Abstract: 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.

Keywords: fitness landscapes; NK model; entropy; organization; ITS technology (search for similar items in EconPapers)
Date: 2007
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DOI: 10.1007/0-387-71134-1_6

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