Exploring an Evolutionary Traffic Flow Landscape with a Fitness Approach

Kingsley Haynes (), Rajendra Kulkarni and Roger Stough
Additional contact information
Kingsley Haynes: The School of Public Policy George Mason University Fairfax, 22030, USA

Jurnal Ekonomi Malaysia, 2007, vol. 41, 17-41

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.

Date: 2007
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.ukm.my/jem/wp-content/uploads/2021/06/jeko_41-2.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ukm:jlekon:v:41:y:2007:i::p:17-41

Access Statistics for this article

More articles in Jurnal Ekonomi Malaysia from Faculty of Economics and Business, Universiti Kebangsaan Malaysia Contact information at EDIRC.
Bibliographic data for series maintained by Muhammad Asri Abd Ghani ().