Barrachina, J.; Garrido, P.; Fogue, M.; Martínez, FJ.; Cano Escribá, JC.; Tavares De Araujo Cesariny Calafate, CM.; Manzoni, P. (2014). Reducing emergence services arrival time by using vehicular communications and Evolution Strategies. Expert Systems with Applications. 41(4):1206-1217. doi:10.1016/j.eswa.2013.08.004
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/38084
Title:
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Reducing emergence services arrival time by using vehicular communications and Evolution Strategies
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Author:
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Barrachina, Javier
Garrido, Piedad
Fogue, Manuel
Martínez, Francisco J.
Cano Escribá, Juan Carlos
Tavares de Araujo Cesariny Calafate, Carlos Miguel
Manzoni, Pietro
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UPV Unit:
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Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
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Issued date:
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Abstract:
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Nowadays, traffic jams in urban areas have become a problem that keeps growing every year since the number of vehicles in our cities is continuously increasing. One of the most common causes producing traffic jams are ...[+]
Nowadays, traffic jams in urban areas have become a problem that keeps growing every year since the number of vehicles in our cities is continuously increasing. One of the most common causes producing traffic jams are vehicle accidents. Moreover, the arrival time of the emergency services could be raised due to traffic congestion. Intelligent Transportation Systems (ITS) have a key role in order to reduce or mitigate this problem. In this paper, we propose four different approaches addressing the traffic congestion problem, comparing them to obtain the best solution. Using V2I communications, we are able to accurately estimate the traffic density in a certain area, which represents a key parameter to perform efficient traffic redirection, thereby reducing the emergency services arrival time, and avoiding traffic jams when an accident occurs. Specifically, we propose two approaches based on the Dijkstra algorithm, and two approaches based on Evolution Strategies. Notice that, when an accident occurs, time is a critical issue, and the strategies here proposed contribute to find the optimal solution within a short time period.
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Subjects:
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Vehicular networks
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Traffic accidents assistance
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Evolution Strategies
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Copyrigths:
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Reserva de todos los derechos
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Source:
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Expert Systems with Applications. (issn:
0957-4174
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DOI:
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10.1016/j.eswa.2013.08.004
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Publisher:
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Elsevier
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Publisher version:
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http://dx.doi.org/10.1016/j.eswa.2013.08.004
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Project ID:
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Ministerio de Ciencia e Innovación, Spain [TIN2011-27543-C03-01]
Fundación Universitaria Antonio Gargallo, the Obra Social de Ibercaja [2013/B010]
Government of Aragón
European Social Fund (T91 Research Group)
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Thanks:
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This work was partially supported by the Ministerio de Ciencia e Innovacion, Spain, under Grant TIN2011-27543-C03-01, as well as by the Fundacion Universitaria Antonio Gargallo, the Obra Social de Ibercaja, under Grant ...[+]
This work was partially supported by the Ministerio de Ciencia e Innovacion, Spain, under Grant TIN2011-27543-C03-01, as well as by the Fundacion Universitaria Antonio Gargallo, the Obra Social de Ibercaja, under Grant 2013/B010, and by the Government of Aragon and the European Social Fund (T91 Research Group).
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Type:
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Artículo
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