Modelling for Optimal Trajectory Planning of an Intelligent Transportation System

In this paper, a dynamic modelling of transportation system network inside a confined space is developed. It is a graph theory model based, takes in consideration, not only the static aspects of the transportation system' environment, but also its dynamic characteristics. This model can improve the performance of the on-line supervision of the transportation network. In this proposed model the nodes can be considered dynamic where the arc values in this case are adaptive according to the situation of the transportation system. In order to find the optimal path, between two distant nodes, an adaptive time estimation' algorithm is developed, allowing each involved vehicle reaching correctly its target, according to traffic situation. This algorithm can be applied to kind of intelligent and autonomous vehicles and takes into account the absolute positioning, relative speed and status indicators for each transportation system' components (vehicles, road network, stations,…).