In this paper, we consider an analysis of car dynamics and its optimization on urban networks of City type, namely rectangular networks with roads of unequal length. In particular, we study the traffic variations due to changes of permeability parameters, that describe the amount of flow allowed to enter a junction from incoming roads. On each road, we distinguish a free and a congested regime, characterized by an arrival and a departure flow, respectively. Dynamics at nodes of the network is solved maximizing the through flux. The evolution on the whole network gives rise to very complicated equations, as car traffic at a single node may involve time – delayed terms from all other nodes. Hence, the network solution is found by an alternative hybrid approach, via the introduction of additional logic variables. Finally, simulations on a portion of the Salerno network, in Italy, allows to test the obtained results.

A model for irregular phenomena in urban traffic

RARITA', LUIGI
2013

Abstract

In this paper, we consider an analysis of car dynamics and its optimization on urban networks of City type, namely rectangular networks with roads of unequal length. In particular, we study the traffic variations due to changes of permeability parameters, that describe the amount of flow allowed to enter a junction from incoming roads. On each road, we distinguish a free and a congested regime, characterized by an arrival and a departure flow, respectively. Dynamics at nodes of the network is solved maximizing the through flux. The evolution on the whole network gives rise to very complicated equations, as car traffic at a single node may involve time – delayed terms from all other nodes. Hence, the network solution is found by an alternative hybrid approach, via the introduction of additional logic variables. Finally, simulations on a portion of the Salerno network, in Italy, allows to test the obtained results.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4250078
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