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Future Networks 2030: Challenges in Intelligent Transportation Systems

机译:2030年未来网络:智能交通系统中的挑战

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Many cities around the world implement the Intelligent Transportation Systems (ITS) concept to reduce road traffic congestion. This concept implies the usage of Internet of Things (IoT) technologies to ensure a better traffic flow, especially in crowded urban areas. Sensors networks became part of road infrastructure and have as main responsibilities to collect real-time traffic data and to send them to Traffic Management Centres (TMCs) which control further the traffic lights timings. Today’s technologies meet some limitations in terms of efficiency. This paper starts with an overview of these limitations to create a path for discussing the challenges that the development of ITS will meet in the context of Future Networks (FN) 2030 concept. Based on this development path, the identification of current limitations and possible future challenges consists of an important step of this research. Further, the main contribution in this research is to show how the ITS shall adapt to meet the requirements of FN 2030 by providing an architecture for Future ITS 2030 that meets the general ITS needs.
机译:全世界许多城市都采用了智能交通系统(ITS)的概念,以减少道路交通拥堵。这个概念意味着使用物联网(IoT)技术来确保更好的交通流,尤其是在拥挤的城市地区。传感器网络已成为道路基础设施的一部分,并且担负着收集实时交通数据并将其发送到交通管理中心(TMC)的主要责任,交通管理中心进一步控制交通信号灯的时间安排。当今的技术在效率方面遇到了一些限制。本文首先概述了这些局限性,为讨论ITS的发展将在Future Networks(FN)2030概念的背景下遇到的挑战提供了一条途径。基于这种发展道路,确定当前的局限性和可能的​​未来挑战是这项研究的重要步骤。此外,本研究的主要贡献在于,通过提供满足一般ITS需求的Future ITS 2030架构,展示ITS如何适应FN 2030的要求。

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