ABSTRACT

Concerning the critical role of Intelligent Transportation System (ITS) in tackling the problem of traffic congestion, and enhancing the safety, mobility and sustainability of the transport network, this paper provides a comprehensive review of recent developments in Connected Vehicle (CV) technology, its features and terminology. The real-world implementation of the CV technologies can result in a better understanding of the practical and technical issues. Given the technical and conceptual challenges, as well as novelty factors associated with CVs, many CV pilot studies around the world are reviewed, and their findings are summarized. The paper contributes to the literature by reviewing the characteristics, communication platform, multimodality, size and type of study areas of the pilot CV testbeds across the world. This research also paves the way for the better development of CV technology by comparing and discussing the pros and cons of the existing CV pilot testbeds. Moreover, we have discussed the evaluation plans and the advantages and disadvantages of different testbeds. Besides, as a main component of the CV system, the traffic signal control algorithms, as well as transit signal priority in a CV ecosystem, are also reviewed. Based on our findings, the real-time data obtained from the CV system could result in a better adjustment of traffic signal parameters which consequently enhance the traffic regulation in the network (say up to 30% in terms of travel time in comparison with an actuated coordinated traffic signal). However, a major criticism of the existing traffic signal strategies in a CV system is that they do not utilize the maximum capability of the CV system (V2 V, V2I and I2I communications).

摘要

关于智能交通系统 (ITS) 在解决交通拥堵问题以及提高交通网络的安全性、机动性和可持续性方面的关键作用，本文全面回顾了互联汽车 (CV) 技术的最新发展，其特征和术语。CV 技术的实际实施可以更好地理解实际和技术问题。鉴于技术和概念上的挑战，以及与 CV 相关的新奇因素，我们对世界各地的许多 CV 试点研究进行了回顾，并总结了他们的发现。本文通过回顾全球试点 CV 测试平台的特征、交流平台、多模态、研究领域的规模和类型，为文献做出贡献。本研究还通过比较和讨论现有 CV 中试试验台的优缺点，为更好地发展 CV 技术铺平了道路。此外，我们还讨论了评估计划以及不同测试平台的优缺点。此外，作为 CV 系统的主要组成部分，交通信号控制算法以及 CV 生态系统中的交通信号优先级也进行了回顾。根据我们的研究结果，从 CV 系统获得的实时数据可以更好地调整交通信号参数，从而增强网络中的交通管制（例如，与驱动的相比，行驶时间最多可提高 30%）协调交通信号）。然而，