A novel approach to developing and evaluating regulation strategies for urban transport disrupted networks

Abstract

The current paper deals with the real-time regulation of an urban collective transport disrupted network, which is a very difficult problem, especially in the case of simultaneous disturbances (breakdowns, strikes, demonstrations, etc.). Indeed, regulators or decision makers have to carry out difficult tasks, which involves the assistance of a decision support system (DSS). The current paper presents the main part of this DSS, i.e. a regulation strategy generator and evaluator. Thus, a new hybrid approach is proposed using a fuzzy logic and evolutionary algorithm. It treats the regulation problem as an optimization one and provides the regulator with classified effective decisions by taking into account his/her preferences.

Keywords:

• Fuzzy logic
• Evolutionary algorithms
• Decision making
• Choquet integral
• Multi-objective optimization
• Urban transport network exploitation

Acknowledgements

This research work was supported by the Nord-Pas de Calais region/General Council and the SEMURVAL Company. The authors would like to thank them for their informative and financial support.