In recent years, the problem of optimal resources management has increasingly led to transportation policies based on the application of Intelligent Transportation Systems (ITS). In this context, the aim of this work was to develop two models to estimate road network performances for supporting transportation management policies through the use of an Automatic Vehicle Location (AVL) system. The first proposed model provides an analytic formulation that combines road traffic conditions with transit conditions in the case of non-exclusive lanes when bus fleets are provided with an AVL system. In real cases, many transit firms aggregate their AVL data to simplify information management. Thus in this case, it is necessary to develop a different model for estimating traffic conditions on the whole network with the use of aggregate AVL data.
Estimation of urban traffic conditions using an Automatic Vehicle Location (AVL) System
Cartenì A.;
2005
Abstract
In recent years, the problem of optimal resources management has increasingly led to transportation policies based on the application of Intelligent Transportation Systems (ITS). In this context, the aim of this work was to develop two models to estimate road network performances for supporting transportation management policies through the use of an Automatic Vehicle Location (AVL) system. The first proposed model provides an analytic formulation that combines road traffic conditions with transit conditions in the case of non-exclusive lanes when bus fleets are provided with an AVL system. In real cases, many transit firms aggregate their AVL data to simplify information management. Thus in this case, it is necessary to develop a different model for estimating traffic conditions on the whole network with the use of aggregate AVL data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
