Cloud-computing based velocity profile generation for minimum fuel consumption: A dynamic programming based solution

This paper proposes a new framework to minimize the fuel consumed in a conventional vehicle over a given driving route by finding the optimal velocity profile. The optimization problem is solved in a remote cloud computing environment and assumes the vehicle route to be known a priori. A spatial domain dynamic programming optimization algorithm is used in this study to find the optimal velocity profile. The cloud-computing environment integrates information from GIS, road speed limits, into a vehicle simulator equipped with a fuel consumption model to predict fuel use along the desired route. The resulting global optimal velocity profile is sent back to the driver for velocity advisory.