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Jurnal Ekonomi Malaysia

41 2007 17 – 41

Exploring an Evolutionary Traffic Flow Landscape with a Fitness Approach

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

khaynes@gmu.edu



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.

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Haynes, , Kulkarni, , & stough, (2007). Exploring an Evolutionary Traffic Flow Landscape with a Fitness Approach. Jurnal Ekonomi Malaysia, 41, 17–41.

@article{Haynes2007Exploring,
  title={Exploring an Evolutionary Traffic Flow Landscape with a Fitness Approach},
  author={Haynes, Kingsley and Kulkarni, Rajendra and stough, Roger},
  journal={Jurnal Ekonomi Malaysia},
  volume={41},
  number={},
  pages={17—41},
 

year={2007},
}

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