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id ddssup9613
authors Kulkarni, R.G., Stought, R.R. and Haynes, K.E.
year 1996
title Traffic Flow Landscapes
source Timmermans, Harry (Ed.), Third Design and Decision Support Systems in Architecture and Urban Planning - Part two: Urban Planning Proceedings (Spa, Belgium), August 18-21, 1996
summary Major metropolitan areas and constituent independent jurisdictions face the problem of providing efficient transportation for their residents and in-and out commuters. A typical trip taker spends considerable time on the road to reach the workplace and other destinations. Though it may seem counter-intuitive, adding more links to existing road networks and/or increasing traffic capacity by adding lanes does not necessarily decrease travel times (eg. Braess' paradox). But it is certain that a dense redundant network of roads would provide a trip taker with alternate routes when traffic incidents occur. These types of questions raise the question of, how to evaluate the flow characteristics of the entire road network of a jurisdiction and its larger region in keeping the traffic moving? Further, how may the impact of adding more links/ lanes or the blocking of 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 biological NK model (1993). We specify a transportation road traffic flow landscape analogous to the fitness landscape of the NK model. Using the transportation road traffic flow landscape we derive a road fitness index that can be used to evaluate either the entire road network's traffic flows or subparts of such network's traffic flows. We explore the possibility of investigating traffic flow landscapes to search for optimal routes to clear traffic. Finally we describe an approach for applying the theoretical framework developed in the paper to the traffic conditions on the road network of the city of Fairfax, Virginia.
keywords Fitness Landscapes, NK Model, Genotype, Gene, Self-Organization, ITS Technology
series DDSS
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