Two stage scheduling method of touristic transport in multimodal networks

The presented paper proposes a method suitable to support scheduling activities in multimodal transport networks, whose adapted structures correspond to specific requirements of actual tourism services. Considering characteristic aspects of the application type, a two-stage approach was chosen to find an appropriate solution. First, a Delay Time Petri Nets (DTPN) model was developed to describe all touristic routes and their associated activities in the considered area. Then, using the elaborated model and following a visit planning, Genetic Algorithms were utilized to find convenient schedules for transport activities. For simulation purposes, scenarios inspired from real situations were chosen. The obtained results lead to the elimination of critical values of time that could generate unwanted behaviors.