The effectiveness of optimization strongly relies on the underlying model of the phenomenon. According to this, a considerable effort has been spent in improving the General Link Transmission Model (Gentile, 2008) to address urban networks, intersection and lane modelling and multimodal simulation. A genetic algorithm with a formulation tailored on the signal coordination problem has been integrated with the simulation engine. So, a practical and effective multi-objective optimization tool for traffic signal coordination is here presented.
Models for dynamic network loading and algorithms for traffic signal synchronization
TIDDI, DANIELE
2012
Abstract
The effectiveness of optimization strongly relies on the underlying model of the phenomenon. According to this, a considerable effort has been spent in improving the General Link Transmission Model (Gentile, 2008) to address urban networks, intersection and lane modelling and multimodal simulation. A genetic algorithm with a formulation tailored on the signal coordination problem has been integrated with the simulation engine. So, a practical and effective multi-objective optimization tool for traffic signal coordination is here presented.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.14242/174718
Il codice NBN di questa tesi è
URN:NBN:IT:UNIROMA1-174718