Mobility sensing and V2X communication for emergency services

• Autor(a) principal: Figueiredo, Andreia Gomes de
• Data de Publicação: 2021
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10773/32251
• topic: Vanet; Emergency mobility; Real time data sensing

Throughout the years, the population in cities worldwide has increased, raising several city mobility management issues. Travel times between different places, the number of accidents, and city pollution, are some of the issues that have been constantly increasing. With the advent and further evolution of smart cities, the deployment of sensors, IoT communication, and vehicular communication allows the processing of city data in a real-time approach, and the communication to and from the vehicles of important information, not only to improve mobility in these environments, but also to improve their safety. This dissertation proposes a system that collects, processes, and disseminates data in real-time within a vehicular network, integrating data from different sensors related with mobility, and developing a dissemination service for emergency awareness, focusing on diminishing the response latency of emergency vehicle missions. With the help of RADARs and data from the vehicles awareness messages, collected and processed in real-time, information on road congestion can be inferred, allowing to produce emergency warnings and alerts to be disseminated throughout a set of vehicles, road side units, and other smart city nodes, most particularly on the approach of emergency vehicles. These developments were tested in both laboratory and a real city scenario, using an already deployed infrastructure (Aveiro Tech City Living Lab), in the city of Aveiro, Portugal. With this approach, the obtained results demonstrate the transmission of information in real-time between vehicles and road units, to notice the emergency vehicles approach, successfully comparing the effects of having infrastructure-to-vehicle and vehicle-to-vehicle, and joining efforts of both simultaneously in a hybrid approach, reducing a maximum of 80% to 20% in the communication losses in the warnings dissemination.