Short-term traffic predictions on large urban traffic networks: applications of network-based machine learning models and dynamic traffic assignment models

The paper discusses the issues to face in applications of short-term traffic predictions on urban road networks and the opportunities provided by explicit and implicit models. Different specifications of Bayesian Networks and Artificial Neural Networks are applied for prediction of road link speed and are tested on a large floating car data set. Moreover, two traffic assignment models of different complexity are applied on a sub-area of the road network of Rome and validated on the same floating car data set

A cost evaluation analysis for naval accessibility to Sardinia and Corsica

An analytical model for the evaluation of the naval transportation costs in Ro-Pax services is presented in order to compare the naval accessibility of two main Mediterranean islands with their mainland countries