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Optimization of Traffic Network Design Using Nature-Inspired Algorithm: An Optimization via Simulation Approach

Optimization of Traffic Network Design Using Nature-Inspired Algorithm: An Optimization via Simulation Approach
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Author(s): Enrique Gabriel Baquela (Universidad Tecnológica Nacional, Argentina)and Ana Carolina Olivera (Universidad Nacional de la Patagonia Austral, Argentina & CONICET, Argentina)
Copyright: 2016
Pages: 22
Source title: Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics
Source Author(s)/Editor(s): Pandian Vasant (University of Technology Petronas, Malaysia), Gerhard-Wilhelm Weber (Middle East Technical University, Turkey)and Vo Ngoc Dieu (Ho Chi Minh City University of Technology, Vietnam)
DOI: 10.4018/978-1-4666-9644-0.ch010

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Abstract

In this chapter the application of a nature-inspired technique in conjunction with simulation models to optimize the siting of concentration nodes in a traffic network of urban area is presented. The solutions of this optimization problem involve the redesign of the network by adding nodes and arcs to the current traffic network. The problem is a sub-problem of the most general “Traffic Network Design Problem”. For this resolution a Genetic Algorithm approach was design and development. The popular Simulator of Urban Mobility (SUMO) is use as traffic simulator in order to evaluate the solutions obtained. This chapter contains the conceptual models and the results of the Optimization via Simulation technique proposed.

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