Decentralized route guidance architectures with user preferences in urban transportation networks

In the last decades, the increase of traffic and the limited capacity of urban networks, has led to the development of algorithms for traffic management and route guidance. The route guidance systems may cause a well-known dilemma by suggesting the same path to too many drivers. We propose a multiple path routing algorithm, in which each vehicle computes its own route on the basis of (i) its specific settings reflecting user's preferences/constraints and (ii) traffic information provided by the reference station. Our aim is to propose a solution that represents a good trade off between single user satisfaction and system optimum.