Models and Technologies for Intelligent Transportation Systems

Il convegno internazionale "Models and Technologies for Intelligent Transportation Systems", organizzato dal Prof.Fusco presso l'Università di Roma La Sapienza, è stato supportato da un comitato scientifico di altissimo livello, che ha visto la partecipazione dei massimi studiosi a livello mondiale. Gli atti del Convegno sono stati pubblicati per i tipi dell'editore Aracne (Cfr. la sezione Curatele). E’ in corso la pubblicazione delle memorie selezionate in uno Special Issue di Transportation Research – Part C, prestigiosa edita rivista da Elsevier, Guest Editor Gaetano Fusco

Last-mile, a Procedure to set up an Optimized Delivery Scheme

The paper illustrates a comprehensive procedure for the design of a delivery scheme in an urban area, where a set of possible locations for logistic transit-points exists. In such a scheme it is assumed that deliveries for Business-to-Consumer (BtoC) e-commerce of goods are performed at specific drop-points, suitably selected to match the pick-up of the parcels to usual activities of the customers, like the breakfast at the bar or the purchase of the newspaper. The solution procedure, which integrates transportation system theory and operational research techniques, applies a disaggregate Nested Logit Model (NLM) for demand estimation, an Analytic Hierarchy Process (AHP) to compare and select possible drop-points, and a double string Genetic Algorithm (GA) to solve jointly both the problems of transit-point location and sizing and of drop-point clustering for deliveries tours. A GA performance function is computed by solving a standard Travel Salesman Problem (TSP) on the road graph, whose travel times have been estimated by assigning the O/D matrix of car trips. The first application of the procedure to the town of Terni, in Italy, has provided very encouraging results

Joint Problem of Traffic Signal Synchronization and Bus Priority

Several methods have been developed to allow bus priority with respect to general traffic in urban areas. Among these, signal priority strategies attempt to reduce delay in two ways: by reducing the probability of a transit vehicle encountering a red signal, and, if this does occur, by reducing the wait time until the green signal. The objective of this study is modeling and simulating a mathematical procedure to provide bus priority along a synchronization arterial, through the combination of passive and active bus priority strategies