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http://hdl.handle.net/10553/40197
| Título: | System model for a continuous improvement of road mass transit | Autores/as: | Cristóbal Betancor, Teresa Padrón, Gabino Quesada-Arencibia, Alexis Alayón, Francisco García Rodríguez, Carmelo Rubén |
Clasificación UNESCO: | 3327 Tecnología de los sistemas de transporte 120304 Inteligencia artificial |
Palabras clave: | Automatic public transport planning GPS data Intelligent transport systems |
Fecha de publicación: | 2017 | Editor/a: | Springer | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 11th International Conference on Ubiquitous Computing and Ambient Intelligence, (UCAmI 2017) | Resumen: | The quality of service has a main relevance in mass transit systems, being the reliability a key factor for this quality. A system model for the continuous transport data acquisition and computing of these data to improve the quality of service of road mass transit systems is presented in this contribution. This proposal has been conceived to provide services adapted to the needs of the travellers by a continuous monitoring of the transport activity. The data obtained by buses on boarded systems have a special relevance in the proposed model, specially the data provided by the on boarded sensors, such as GPS positioning system. The system model has been applied to analyse the reliability of the operation scheduling of a road mass transit operator, and the results of this test are presented in this paper. | URI: | http://hdl.handle.net/10553/40197 | ISBN: | 978-3-319-67584-8 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-319-67585-5_22 | Fuente: | Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science, v. 10586 LNCS, p. 207-212 |
| Colección: | Capítulo de libro |
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