Please use this identifier to cite or link to this item: http://hdl.handle.net/2307/4546
Title: Optimization algorithms for signal synchronization and bus priority on urban arteries
Authors: Gemma, Andrea
metadata.dc.contributor.advisor: Pacciarelli, Dario
metadata.dc.contributor.referee: Florian, Michael
Fusco, Gaetano
Issue Date: 26-Mar-2011
Publisher: Università degli studi Roma Tre
Abstract: This thesis is aimed at defining a simulation model representing the vehicular flow along an urban road artery with traffic signals. This platoon-based model can simulate the behavior of private and public transport vehicles and gives the opportunity to implement priority strategies for the latter. As a result of the simulation, it is possible to calculate the vehicles delay caused by the presence of traffic lights and this information was used to define a fitness function representing the quality of traffic light synchronization. In the second part of the work two optimization algorithms have been realized to minimize the fitness function: A genetic algorithm and particle swarm algorithm. The two algorithms, known to have comparable performance, were compared on real instances of some main roads in the urban area of Rome.
URI: http://hdl.handle.net/2307/4546
Access Rights: info:eu-repo/semantics/openAccess
Appears in Collections:X_Dipartimento di Informatica e automazione
T - Tesi di dottorato

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