Urban Transport Network Regulation and Evaluation: A Fuzzy Evolutionary Approach

Mohamed Mahmoud Ould Sidi · Slim Hammadi · S. Hayat · Pierre Borne

30 citations0/0 files storedIEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans

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Transportation Planning and Optimization Traffic control and management Urban Transport Systems Analysis

Abstract

The real-time regulation of urban collective transport traffic is a very delicate problem, particularly in case of appearance of simultaneous disturbances (vehicle's breakdown, strike, demonstration, etc.). Indeed, a regulator (a decision maker) has to carry out difficult tasks that are often inaccessible at the human scale and involve the assistance of a decision support system (DSS). In this paper, we present the main part of this DSS, i.e., the generator and the evaluator of the decision strategies for disrupted transport network regulation. The proposed module is based on a hybrid approach using a fuzzy evaluation method and evolutionary algorithms. It treats the online regulation problem as an optimization one and provides the regulator with evaluated and classified effective decisions by taking into account his/her preferences.

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References

2000Fuzzy Measures and Integrals - Theory and Applications 2000Application of the Choquet integral in multicriteria decision making 2003Optimal Time Transfer in Bus Transit Route Network Design Using a Genetic Algorithm 2003Decision support system for urban transportation networks

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