|Title:||A simple classification approach to traffic flow state estimation||Authors:||del Pino Saavedra Hernández, Aitor
Sánchez Medina, Javier J.
|UNESCO Clasification:||120304 Inteligencia artificial
332702 Análisis del trafico
Street traffic control
|Issue Date:||2018||Journal:||Lecture Notes in Computer Science||Conference:||16th International Conference on Computer Aided Systems Theory, EUROCAST 2017||Abstract:||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||Source:||Moreno-Díaz R., Pichler F., Quesada-Arencibia A. (eds) Computer Aided Systems Theory – EUROCAST 2017. EUROCAST 2017. Lecture Notes in Computer Science, vol 10672. Springer, Cham|
|Appears in Collections:||Actas de congresos|