Authors:
Aránzazu Berbey Alvarez
1
;
Rony Caballero George
1
;
Juan de Dios Sanz Bobi
2
and
Ramón Galán López
2
Affiliations:
1
Universidad Tecnológica de Panamá, Panama
;
2
Universidad Politécnica de Madrid, Spain
Keyword(s):
Fuzzy logic inference, Passenger flow modelling, Maximum entropy theory, Matrix method of area trips O-D.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Fuzzy Systems
;
Fuzzy Systems Design, Modeling and Control
;
Soft Computing
Abstract:
This paper presents a new approach that designs the flow of passengers in mass transportation systems in presence of uncertainties. One of the techniques used for the prediction of passenger demand is the origin-destination matrices. However, this method is limited to urban areas and rarely to explicit stations. Otherwise, the gravity models based on friction functions can be another alternative; however, it is difficult to fit into practical achievements. Another solution might be the application of artificial intelligence techniques so as to include some intuitive knowledge provided by an expert to predict the flow demand of passengers’ trips in explicit stations. This paper proposes to combine a matrix of origin-destination trips of travel zones, with the intuitive knowledge, applying a fuzzy logic inference approach.