Optimizing urban traffic flow using Genetic Algorithm with Petri net analysis as fitness function-Reference-Cited by-同舟云学术

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Optimizing urban traffic flow using Genetic Algorithm with Petri net analysis as fitness function

Published:2014-01 Issue: Volume:124 Page:162-167
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Dezani Henrique,Bassi Regiane D.S.,Marranghello Norian,Gomes Luís,Damiani Furio,Nunes da Silva Ivan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference17 articles.

1. Optimal configuration of roadside beacons in V2I communications;Vales-Alonso;Computer Networks,2011

2. Optimization models to characterize the broadcast capacity of vehicular ad hoc networks;Du;Transportation Research. Part C,2009

3. Effect of ATIS information under incident-based congestion propagation;Zhang;Procedia – Social and Behavioral Sciences,2012

4. Advanced traveler information system for Hyderabad city;Kumar;IEEE Transaction on Intelligent Transportation Systems,2005

5. Determining traffic-flow characteristics by definition for application in ITS;Ni;IEEE Transaction on Intelligent Transportation Systems,2007

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