Optimized fuel consumption trajectories of intelligent vehicles in a segment of road for any lane configuration

This paper presents a simulation algorithm to calculate optimized coordinated trajectories of intelligent vehicles in a road. The first objective is to reduce travel time for each vehicle and second is to have the best fuel consumption trajectory. The configuration of the road can be modelled regarding the number of lanes, direction preference and exclusivity. The calculation considers the main elements of the traffic system, such as topography of the lane, traffic rules and individual capacity of acceleration. It can deals with most traffic situations such as overtaking, obstacles, slopes, and speed reducers. The fuel consumption optimization is obtained by reducing the unnecessary picks of velocity. This will lower the necessity of braking and consequently save fuel. Experimental tests to evaluate the algorithm are presented.