A Fuzzy Logic Approach To Modelling The Passengers’ Flow And Dwelling Time
The passengers’ flow and station dwell time estimation are important tasks for mass transit planning. However, classical methods are difficult to apply into some practical achievements. This paper presents a new approach that models passengers’ flow and its effect on passenger alighting and boarding...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2012 |
| País: | Panamá |
| Institución: | Universidad Tecnológica de Panamá |
| Repositorio: | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| Idioma: | inglés |
| OAI Identifier: | oai:ridda2.utp.ac.pa:123456789/2400 |
| Acceso en línea: | http://ridda2.utp.ac.pa/handle/123456789/2400 |
| Access Level: | acceso abierto |
| Palabra clave: | passengers’ flow modelling fuzzy logic inference artificial intelligence uncertainties |
| Sumario: | The passengers’ flow and station dwell time estimation are important tasks for mass transit planning. However, classical methods are difficult to apply into some practical achievements. This paper presents a new approach that models passengers’ flow and its effect on passenger alighting and boarding time in mass transportation systems in the presence of uncertainties. The applied technique combines origin destination matrices approach with the application of artificial intelligence. This new approach allows the inclusion of some intuitive knowledge provided by a fuzzy logic inference motor to predict the flow demand of passengers’ trips, alighting and boarding time passenger cars in explicit stations. |
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