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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.
Access Rights: info:eu-repo/semantics/openAccess
Appears in Collections:X_Dipartimento di Informatica e automazione
T - Tesi di dottorato

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