Toward a Decision Support System for Regulation in an Urban Transport Network

Toward a Decision Support System for Regulation in an Urban Transport Network

Khadidja Yachba, Zakaria Bendaoud, Karim Bouamrane
DOI: 10.4018/IJSITA.2018040101
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In this article, a solution to the problem of perturbation in the urban transport network has been proposed. This solution is based on the multicriteria decision support method, which is an efficient way of identifying appropriate solutions to different perturbations situations. The proposed model should provide synthesis, evaluation and updating of available information in order to facilitate the task of the network monitoring operator. To achieve this objective, the authors propose formal modeling of the perturbation concept through an effective and above all significant decision support system exploiting the diversity of the criteria as well as the decision maker's subjectivity. This modeling makes it possible to capitalize the knowledge available within a checkpoint and to monitor the process. The authors show how, from the information available on the network, the modeling of the process represented by a perturbation makes it possible to enrich the possibilities of evaluation of the state of the network.
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There are several incidents that can disrupt the operation of public transit. They can affect the network vehicles that are in circulation, the network personnel, the passengers, the overall road traffic, etc. Perturbations can then be classified according to their origins. The malfunction may be due to an external or internal problem with the public transport company. The regulator certainly has more impact on a problem of internal origin than another of external origin and of which it does not control the parameters. Figure 1 presents a classification of typical incidents.

Any incident results in a delay or an advance. The delay may be related to a forced march or a complete stop of the vehicle depending on the source of the incident. This classification can be used for the ex post analysis of the perturbations that have occurred in order to evaluate and improve the organization.

Figure 1.

Classification of typical incidents (Mejri, 2012)


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