Urban Transport Planning Process is typically decomposed in four main activities: Network Design, Timetable Design, Vehicle Scheduling and Crew Scheduling. These activities are generally executed in sequence. Timetable design is further decomposed in two main activitities: frequencies and departures calculation, these activities are also executed in sequence.

The problem being addressed here is about the construction of timetables by executing both subactivities, frequencies and departures calculation in an integrated way. Also, multiperiod scheduling, multiperiod synchronization, and multimodal transport modes are considered. Uncertainty in demand and travel times is also incorporated into the model. The objectives are: to minimize total operations costs (fixed and variables costs), maximizing the number of synchronizations and minimizing the total waiting time of passengers in the system.

Some assumptions of the model are:

1) Demand mut be fully satisfied

2) Headway policies must be obeyed.

3) There are some nodes where synchronization should occur.

For modeling uncertainty, triangular fuzzy numbers were used and for ranking fuzzy numbers the method of k-preferences was employed.

Numerical Experiments were carried out over a group of randomly generated instances. The SAUGMECON method was implemented for generating the Pareto fronts.

Fernando Lopez-Irarragorri

Affiliation

Refine Results

A Fuzzy Programming multiobjective model for Urban Transport Planning