Dealing with the Strategic Level of Decisions Related to Automated Transit Networks: A Hybrid Heuristic Approach

摘要

The automated transit networks (ATN) is a new and sophisticated concept which has the possibility to solve problems related to transit in urban areas. In ATN, driverless vehicles run on exclusive guide-ways in order to provide on-demand transportation service. In this paper, we focus on the strategic level of decision related to ATN. We deal with the problem of determining the best size of fleet of ATN vehicles while satisfying a set of transportation demands. A hybrid heuristic approach is developed while taking into account the objective of finding good quality solutions in a short computational time. Computational results performed in this study demonstrate the efficiency of our approach.