Multi technology and sensing platform for 2wheelers’ safety

• Autor(a) principal: Perpétua, João Carlos da Costa
• Data de Publicação: 2022
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10773/38339
• topic: VANET; ITS-G5; 5G; OBU; RSU; 2wheelers; Edge-based computing; Cloud-based computing; Road Safety applications; Intelligent transport system; Collision avoidance

Vehicle Ad-hoc Networks (VANET) allow the exchange of vehicle information between vehicles (V2V) or between vehicles and infrastructure (V2I). Together with sensory units installed in the vehicles themselves, or in road-side infrastructures within the concept of smart cities, they create the necessary conditions for the development of applications targeting the safety of urban mobility. This dissertation introduced 2wheelers, a Vulnerable Road User, in the context of VANETs with the aim of ensuring its compatibility with a road safety application, denominated as Safety App. To achieve this objective, firstly the definition of mobility scenarios representative of the interactions that may occur between 2wheelers and the road system was required, proceeded by the definition of the communication technologies (ITS-G5 and 5G) to be utilized in the system. The combination of the communication technologies with the hardware options that 2wheelers may have available created the opportunity for the deployment of the Safety App both in a edge and cloud approaches with the usage of the application in both Road Side Units (RSUs) and On Board Units (OBUs). The deployment in multiple nodes lead to the design and implementation of mechanisms capable of providing stations with awareness of other nearby stations. These mechanisms enable the build up of an Awareness table, capable of storing information of stations that are in range, and therefore could represent a collision risk. The information stored relates to the location information of each station and to the network and sensor options available to them. From this table, we assess the mobility scenario currently unfolding and the processing options afforded inside of each mobility scenario. After implementing the proposed approach, tests were carried out, both in a laboratory context as in a real-life environment, to understand the temporal performance associated with each approach, identifying the elements that most affect the temporal performance of the safety application. The tests also evaluated the features implemented in the Safety App, such as the Awareness table and sensor fusion, which were used to determine the possible collisions between 2wheelers and other vehicles. These tests were also performed during an Autonomous Shuttle demonstration that occurred during the Aveiro Tech Week 2022, using the autonomous shuttle as the vehicle interacting with the 2wheeler.