Abstract
We are attending a paradigm shift in the requirements and solutions adopted for cities regarding mobility, connectivity, and security. These changes are driven by implementing 5G communications, developing autonomous vehicles, and Smart Cities projects. Smart cities (SC) have needs in terms of traffic control, more intelligent, integrated, comfortable, safe, and fast transport systems. Traffic control systems are expected to allow higher and secure traffic flow and efficient vehicle communications, with other equipment and people sharing the lane (V2X).Vehicles must communicate with each other(V2V), communicate with the infrastructure (V2I), and the vehicle’s position in the city context is needed and so must be known. In this scenario, the need arises to study new communication models to ensure low latency, high bandwidth, and accurate positioning information. The new communication models require the research community’s interdisciplinary and concerted effort. This project thesis proposal aims to contribute to presenting innovative proposals in the context of communications in Smart Cities. In this context, we intend to study the particular case of road crossings to propose communications for a city model with autonomous vehicles. It is intended to evaluate a model that is automatically controlled (without traffic lights), safe for pedestrians, cyclists, and autonomous vehicles, and which allows the collection of information to evaluate traffic flow in a broader context of the entire city it operates.
Introduction
Traffic flow is always considered the main objective in cities, as this reduces the time in traffic, reduces fuel consumption and pollution, and in general, it will improve the quality of life of those who use the city to work, study, or live [8]. In cities, intersections are the most complex points in terms of traffic and also the ones that cause more road accidents. The impacts of traffic on the safety of drivers and pedestrians are a strong reason for investigating safe means that can help vehicles, drivers, and pedestrians have safe and fluid access on the roads [9]. Today, the available technology already provides us with sensors, video cameras, LiDAR Radar and GPS that are installed in autonomous vehicles(AV). Those sensors can be coupled to the road infrastructure to provide systems that complement each other in the solutions and provide a good description of the environment surrounding the road, the vehicles, pedestrians, and obstacles that are found [9].
Author: Manuel Robalinho
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