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Spatial Dynamics, Networks and Modelling

Edited by Aura Reggiani and Peter Nijkamp

This important new book provides a valuable set of studies on spatial dynamics, emerging networks and modelling efforts. It employs interdisciplinary concepts alongside innovative trajectories to highlight recent advances in analysing and modelling the spatial economy, transport networks, industrial dynamics and regional systems. It is argued that modelling network processes at different spatial scales provides critical information for the design of plans and policies. Furthermore, a key issue in the current complex and heterogeneous landscape is the adoption and validation of new approaches, models and methodologies, which are able to grasp the emergent aspects of economic uncertainty and discontinuity, as well as overcome the current difficulties of carrying out appropriate forecasts. In exploring diverse pathways for theoretical, methodological and empirical analysis, this exciting volume offers promising and evolutionary perspectives on the modern spatial network society.
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Chapter 6: Intelligent Transportation Systems (ITS) Management Using Boolean Networks

Kingsley E. Haynes, Rajendra G. Kulkarni and Laurie A. Schintler


6. Intelligent Transportation System (ITS) Management Using Boolean Networks Kingsley E. Haynes, Rajendra G. Kulkarni, Laurie A. Schintler and Roger R. Stough 6.1 INTRODUCTION Traditional regional transportation models are built on a land-use network forecasting procedure incorporating spatial interaction/gravity models using origin/destination matrices for traffic zones. These classic regional planning models are still useful and valid for planning purposes but increasingly in high density metropolitan regions, ‘real-time’ intervention is part of the traffic control strategy using intelligent transportation system (ITS) technology. What are the guidelines for such regional transport management strategies and what will be the fundamental building blocks for real-time intervention? This chapter suggests one strategy and illustrates it for a particular transport management situation typical of high density/highly congested regions. Urban road networks are characterized by traffic congestion, incidents and accidents resulting in travel delays for commuters and other trip takers on urban road networks. The interaction costs of such congestion in a regional economy are enormous (Arnott and Small 1994). Factoring in safety concerns of commuters and work time lost to business and commuters makes these costs astronomical, threatening the economic viability of many metropolitan regions. Increasing the capacity of existing freeways by adding more lanes is not always possible or environmentally desirable and does not always ease the delays. The much-studied Braess paradox tells us that congestion may increase as capacity is increased (Murchland 1970). Other models based on cellular automata modelling suggest that increased capacity can barely keep up with the latent demand (Helbing and...

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