Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/44275
Título: | A simple classification approach to traffic flow state estimation | Autores/as: | del Pino Saavedra Hernández, Aitor Sánchez Medina, Javier J. Moraine-Matias, Luis |
Clasificación UNESCO: | 120304 Inteligencia artificial 332702 Análisis del trafico |
Palabras clave: | Decision making Environmental impact Traffic control Highway planning Street traffic control, et al. |
Fecha de publicación: | 2018 | Editor/a: | Springer | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 16th International Conference on Computer Aided Systems Theory, (EUROCAST 2017) | Resumen: | One of the most important elements in the mobility of the developed cities is the road traffic management. The mobility determines the quality of citizens’ living conditions because of many reasons, security, efficiency, and the environmental impact. Focusing on security, according to World Health Organization (WHO), every year two millions of people die as a result of traffic accidents. Moreover between twenty and fifty millions of people suffer non-fatal injuries and a proportion of these people suffer from a disability. These injuries affect both the family economy and the country. For this reason, amongst others, it is required to equip the mobility managers with the proper tools to get a precise idea about the current situation and estimate future state. These tools facilitate the decision-making and the development of mobility. | URI: | http://hdl.handle.net/10553/44275 | ISBN: | 978-3-319-74727-9 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-319-74727-9_52 | Fuente: | Computer Aided Systems Theory – EUROCAST 2017. EUROCAST 2017. Lecture Notes in Computer Science, v. 10672 LNCS, p. 435-439 |
Colección: | Capítulo de libro |
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.