Recent advances in connected and automated vehicles

• Published in: Journal of Traffic and Transportation Engineering (English ed. Online) Vol. 6; no. 2; pp. 109 - 131
• Main Authors: David Elliott, Walter Keen, Lei Miao
• Format: Journal Article
• Language: English
• Published: KeAi Communications Co., Ltd 01.04.2019
• DOI: 10.1016/j.jtte.2018.09.005
• ISSN: 2095-7564

Connected and automated vehicle (CAV) is a transformative technology that has great potential to change our daily life. Therefore, CAV related research has been advanced significantly in recent years. This paper does a comprehensive review on five selected subjects that lie in the heart of CAV research: (i) inter-CAV communications; (ii) security of CAVs; (iii) intersection control for CAVs; (iv) collision-free navigation of CAVs; and (v) pedestrian detection and protection. It is believed that these topics are essential to ensure the success of CAVs and need to be better understood. For inter-CAV communications, this paper focuses on both Dedicated Short Range Communications (DSRC) and the future 5G cellular technologies; for security of CAVs, this paper discusses both passive and active attacks and the existing solutions; for intersection control, this paper summarizes the pros and cons of both centralized and decentralized approaches; for collision avoidance, this paper concentrates on four subareas: maneuverability, vehicle networking, control confliction, and motorcycles; for pedestrian detection, this paper covers sensor, radar, and computer vision based approaches. Under each topic, this paper not only shows the state-of-the-art, but also unveils potential future research directions. By establishing connections among these subjects, this paper shows how they interact with each other and how they can be integrated into a seamless user experience. It is believed that the literature covered and conclusions drawn in this paper are very helpful to CAV researchers, application engineers, and policy makers. Keywords: Connected and automated vehicles, Autonomous vehicles, Intelligent transportation systems, Driver-less cars