报告日期：2025年3月21日 （周五）上午9:00

报告地点：科技楼312

报  告  人：姜锐 教授  北京交通大学

主办单位：科技处

承办单位：交通学院

报告摘要：This study examines the feasibility of deploying a connected autonomous vehicle (CAV) platoon without relying on the information of the platoon leader, which is conventionally considered in the practice. Here, we first conduct real-world vehicle platooning experiments involving five programmable CAVs that communicate with two vehicles immediately ahead. To address the performance degradation when transferring from simulation to real-world CAV operations, we bridge the Simulation-to-Real gap by introducing a stochastic process. This allows to perform large-scale deployment tests in a realistic simulation environment that incorporates the stochasticity and heterogeneity of CAVs. We then conduct car-following simulations in various perturbance scenarios, typical on-ramp merging simulations under different traffic demands, two-lane highway simulation with multiple consecutive on-/off-ramps, and a four-lane urban road simulation with multiple consecutive signalized intersections. Our findings highlight that communicating with vehicles immediately ahead enables a long, tight, and stable platoon. In particular, communicating with only two vehicles ahead boosts traffic capacity sixfold. Our research provides valuable insights into vehicle deployment in the forthcoming era of connected autonomous driving.

专家简介：北京交通大学系统科学学院，教授、博士生导师，系统理论研究所所长，入选国家优青、教育部新世纪优秀人才等。主要从事道路交通流、行人交通流、交通出行行为、网联自动驾驶车辆等方面的研究工作。主持了国家自然科学基金重点国际合作项目、重点项目、国家级高层次人才青年项目、国家重点研发计划课题等10余项科研项目。在Transportation Science、TR Part-B/C/D/E、Production and Operations Management、IEEE Transactions on Intelligent Transportation Systems、ISTTT等国内外重要学术期刊和学术会议上发表学术论文100多篇。连续多年入选Elsevier中国高被引学者，论文单篇最高被SCI他引900余次。获教育部自然科学一等奖、安徽省科技二等奖、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一项。担任TRB、Transportmetrica A、Physica A等期刊编委。

科技处

2025年3月18日