In this paper, we deal with the urban traffic simulation and optimization of a portion of the Salerno city, in Italy. The car densities evolution is described by a fluid dynamic model. Two cost functionals, measuring the kinetic energy and the average travelling times, weighted with the number of cars moving on roads, are maximized and minimized, respectively, using a decentralized approach. In particular, to manage emergency situations in high traffic conditions, we apply locally optimal distribution coefficients at each 1 × 2 junction (one incoming road and two outgoing roads) of the network. The goodness of the optimization results has been confirmed by simulations. Decongestion effects are also proved estimating the time a vehicle needs to cross a fixed route on the network.
Redistribution of car flows to manage high traffic
D'APICE, Ciro;MANZO, Rosanna;RARITA', LUIGI
2011
Abstract
In this paper, we deal with the urban traffic simulation and optimization of a portion of the Salerno city, in Italy. The car densities evolution is described by a fluid dynamic model. Two cost functionals, measuring the kinetic energy and the average travelling times, weighted with the number of cars moving on roads, are maximized and minimized, respectively, using a decentralized approach. In particular, to manage emergency situations in high traffic conditions, we apply locally optimal distribution coefficients at each 1 × 2 junction (one incoming road and two outgoing roads) of the network. The goodness of the optimization results has been confirmed by simulations. Decongestion effects are also proved estimating the time a vehicle needs to cross a fixed route on the network.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
