北航经管学院“工程管理论坛”系列讲座
（2025年第5期，总第58期）
讲座题目：Communicating with Only Two Vehicles Immediately Ahead Boosts Traffic Capacity Sixfold in Connected Autonomous Vehicle Platoons
讲座时间：2025.4.10（周四）10:00-11:30
讲座地点：新主楼A1028
讲座嘉宾：姜锐 教授，北京交通大学
主持人：刘天亮 教授
讲座嘉宾 简介
姜锐，北京交通大学系统科学学院教授，主要研究方向为交通流和相关复杂系统。主持了国家自然科学基金优青项目、重点项目、重点国际合作项目、国家重点研发计划课题等10余项科研项目，入选国家级人才计划。在TS、TR-B、POM、TR-C/D/E、IEEE T ITS、PRE等期刊发表学术论文100多篇。获教育部自然科学一等奖、安徽省科学技术二等奖、北京市自然科学二等奖、安徽省自然科学优秀论文一等奖各1项。2020-2024年连续入选Elsevier中国高被引学者，2023、2024年入选全球前2%顶尖科学家，论文单篇最高被SCI他引1000余次。担任TR-B、Transportmetrica A、Physica A等期刊编委。
讲座概要
Due to the continuous inflow of new vehicles far outweighing the outflow of scrapped vehicles, urban areas are experiencing severe traffic congestion resulting from the surging number of vehicles. Addressing urban congestion through enhanced traffic capacity has emerged as a critical objective for connected autonomous driving technologies. An irredundant communication connectivity topology is essential for ensuring the high efficiency and stability of the traffic system, which has not been fully validated, due to the scarcity of real-world tests. Motivated by this fact, this paper deploys a connected autonomous vehicle (CAV) platoon without relying on the information of a platoon leader to preserve the possibility of extending the platoon in future practical applications. The study is supported by both real-world CAV experiments and simulations in a connected autonomous driving environment, where the following CAVs communicate with the two vehicles immediately ahead. The simulation extends the experimental results to four typical scenarios: long platoon formation, on-ramp, a two-lane highway with multiple consecutive on-/off-ramps, and a four-lane urban road with multiple consecutive signalized intersections. The results demonstrate that such a communication structure significantly enhances traffic capacity and stability, highlighting the effectiveness of CAVs in managing complex traffic environments. Additionally, the study underscores the challenges posed by the simulation-to-reality gap. Finally, it suggests that pursuing a zero-time gap for stable traffic conditions may impose substantial communication costs, as the optimal time gap setting and the number of communication vehicles follow an inverse linear relationship on a log-log scale plot. This work gains valuable insights into the sixfold traffic capacity improvement with communicating only two vehicles ahead from a theoretical perspective and the practicality of such a communication connectivity topology from real-world experimental validation.
