A Cloud Optimizer for Eco Route Planning of Heavy Duty Vehicles

This paper presents a cloud system devoted to provide to Vehicles (HDVs) the route that guarantees the minimum fuel consumption by respecting the maximum travel time. To this aim, given a specified mission, the Cloud Optimizer builds a route network collecting the main possible routes from the assigned origin to the destination. Moreover, an updated HDV longitudinal model that integrates predictive traffic, weather conditions, road topography and load factor is presented in order to determine the optimized velocity and gear profiles. Finally, the cloud system finds the route the minimizes the fuel consumption and the travel time by finding the minimum path in the weighted route network.