It is well known that given the continued growth of urban areas and the consequential increase in demand for mobility in towns and cities, traffic congestion will become an increasingly serious issue unless the transport systems undergo considerable structural change. Innovative transport systems, better mobility planning and smart urban transport solutions might promote a more sustainable mobility. In this way, most advanced cities and national governments are increasingly viewing Intelligent Transport Systems (ITS) as the solution for designing intelligent transport networks and an efficient action for a sustainable growth. The Department of Civil and Architecture Engineering of Catania, within the project RE.S.E.T., has implemented an “ITS Laboratory”. Specifically, it is a traffic monitoring, estimation and short-term forecasting system, equipped with radar sensor and a central control station for traffic data elaborations. The main focus of this study concerns the model development and the implementation of this system and a systematic investigation of its functionalities is made in order to identify opportunities to enable the next generation of ITS technologies to contribute to lower energy usage and GHG emissions and to optimize the existing infrastructure and transportation systemsThe architecture of the system consisting of three levels: a peripheral and a central level, connected by a communication level. The peripheral level, consists of 29 radar sensors for traffic detection located along a cordon surrounding the urban area of Catania and 2 Variable Message Signs (VMS) for users’ information. In addition, there are also available Floating Car Data (FCD) in the amount of about 1000 probe vehicles in the study area. The communication level is constituted by a GPRS cellular network that allows to connect wireless the peripheral level to the central system and enables the transmission of collected data – flow, occupancy, average speed and vehicle classification – each 5 minutes, with high accuracy. The central level consists of two software: a software for monitoring and managing the peripheral devices, and a software system for monitoring traffic in real-time and forecasting its short-term. This architecture is further enhanced by the presence of two additional modules: a dynamic intermodal and multimodal journey planner and an environmental module. From a holistic viewpoint, such a system deployment can be considered a key to maximizing efficiency in traffic management through the lightening of congestion and consequent shortening of travel durations. The final aim of this work is to increase the knowledge of the actual dynamic of road traffic in urban areas and to obtain useful data and information that can contribute to the implementation of an optimal control of mobility system. Indeed, through a more efficient and integrated use of the road infrastructure and the available devices on it, it is possible to minimizing traffic congestion and significantly reduce transport-generated emissions, in order to stimulate greater practice of sustainable mobility..
|Titolo:||Toward a sustainable mobility through. A dynamic real-time traffic monitoring, estimation and forecasting system: The RE.S.E.T. project|
|Data di pubblicazione:||2018|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|