Route Planning Strategy for Smart Tourism Services Development

The paper proposes a route planning strategy integrated in a software platform, capable to offer personalized visiting program for touristic zones. The presented solution is based on the utilization of multimodal intelligent transportation systems, having the potential to contribute to the development of smart low-carbon cities. The considered approach is based on two different routing algorithms: an exact one, the Martins algorithm, applied for the initial scheduling of the travel and NSGA-II, and a faster metaheuristic algorithm to tackle momentary modifications generated by new decisions and unexpected events. The multi-objective scheduling strategy was implemented and tested for medium, time dependent transport networks. In order to develop smart tourism services, the platform also integrates the conceptual and implementation support offered by cloud computing.