基于车路云一体化的混合交通系统优化控制综述

A survey of optimal control for mixed traffic system with vehicle-roadcloud integration

汽车行业正在进行智能化与网联化的发展变革,智能网联汽车的出现使交通管理者找到缓解交通拥堵、提高道路安全以及减少能源消耗的一种解决方案.对此,调研混合交通流模型、智能网联汽车协同控制、交通管理等领域的最新成果,系统地论述基于车路云一体化的智慧交通系统优化控制的研究现状与进展.首先,分析基于车路云一体化的混合交通系统的框架,梳理各部分的组成与作用;其次,总结混合交通流的建模方法,探究交通现象本质,归纳各类方法的特点、优势以及局限性;再次,探讨混合交通系统优化控制问题,围绕交通流稳定性、交通安全、交通效率和绿色交通4个方面分析智能化与网联化在交通方面的潜能,并梳理在不同交通场景下的控制对象与控制目标,总结具有借鉴意义的控制方法;最后,对车路云一体化发展进程中存在的问题与挑战进行总结,并对未来发展指明方向.

The automotive industry is developing in the direction of intelligence and connectivity, and the emergence of connected and automated vehicles(CAVs) enables traffic managers to find a solution to alleviate traffic congestion,improve road safety and reduce energy consumption. Therefore, this paper investigates the latest achievements in the fields of mixed traffic flow models, cooperative control of CAVs and traffic management. And the research status and progress of intelligent transportation systems in terms of vehicle-road-cloud integration is systematically elaborated. First,the framework of mixed traffic systems based on vehicle-road-cloud integration is analyzed, and the composition and function of each part are sorted out. Second, the modelling methods of mixed traffic flow are summarized. And, the nature of traffic phenomena is explored. In addition, the characteristics, advantages and limitations of various methods are proposed. Then, the optimal control of mixed traffic system is discussed. Moreover, the potential of intelligent and connected traffic around four aspects of traffic flow, namely, stability, safety, efficiency and green transportation is detailed. The control plants and objectives in different traffic scenarios are sorted out, and the instructive control methods are summarized. Finally, the problems and challenges of vehicle-road-cloud integration are presented, and the future research directions are highlighted.