Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/45750
| Título: | Ubiquitous signaling system for public road transport network | Autores/as: | de Blasio, Gabriel Quesada-Arencibia, Alexis García-Rodríguez, Carmelo Rubén Molina-Gil, Jezabel Miriam Caballero-Gil, Cándido |
Clasificación UNESCO: | 120304 Inteligencia artificial 3327 Tecnología de los sistemas de transporte |
Palabras clave: | Ubiquitous computing Intelligent transport system Indoor positioning system |
Fecha de publicación: | 2016 | Editor/a: | Springer | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 10th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2016) | Resumen: | Mobility is a basic need for people, therefore the authorities in advanced societies pay special attention to systems and initiatives that improve or facilitate it. In this work, a ubiquitous signaling system for visually impaired people, using a combination of WiFi and Bluetooth Low Energy (BLE) technology with Smart Mobile Devices, is proposed. The system is conceived as a solution to help and support these users in places of public road transportation with travellers massive transit, such as bus stations, interchangers or preferred stops. In addition, once the user is positioned in the desired location, the system would offer advanced services: information on lines schedules, tickets sale, etc. | URI: | http://hdl.handle.net/10553/45750 | ISBN: | 978-3-319-48798-4 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-319-48799-1_49 | Fuente: | Ubiquitous Computing and Ambient Intelligence. IWAAL 2016, AmIHEALTH 2016, UCAmI 2016. Lecture Notes in Computer Science, v. 10070, p. 445-457 |
| Colección: | Capítulo de libro |
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