Publicación: Intelligent traffic distribution in case of accident by using vehicular communications
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2013-06-01
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Atribución-NoComercial-SinDerivadas 4.0 Internacional
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial.
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Currently, one of the most important factors of globalization is transportation. Road traffic is experiencing a drastic growth in recent years, thereby increasing the every day traffic congestion problems, especially in metropolitan areas. Information Technologies and transportation infrastructure help to manage transportation systems in an accurate and effective manner. Intelligent Transportation Systems will play a leading role in our society, especially in scenarios such as warning drivers about vehicle accidents in real time, efficiently managing vehicle information required by governments and authorities, or even being able to offer drivers a variety of additional services. In vehicular environments, wireless technologies enable real-time communication between vehicles (V2V) and between vehicles and the infrastructure (V2I). These technologies allow vehicles and traffic control systems to use information about traffic congestion in specific areas, which provides the possibility of selecting fast routes avoiding traffic jams. A critical issue, especially in urban areas, is the occurrence of traffic accidents, since it could generate traffic jams and the emergency services arrival time can determine the difference between life or death for people involved in the accident. In this Master’s Thesis, we propose and compare different systems with the aim of re-routing vehicles circulating in an urban scenario when a vehicle accident takes place, in order to reduce the emergence services arrival time. To do this, we consider two simple routing techniques and two systems based on evolutionary strategies, since the system runtime is as critical as obtaining an optimal solution. In addition, we propose a system able to estimate traffic density by using V2I communications, since traffic density is a key factor when routing vehicles.
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Facultades y escuelas::E.T.S. de Ingeniería Informática
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Inteligencia Artificial