题目：Optimization of Connected Autonomous Vehicles in a Signalized Road Network for Travel and Energy Efficiency

报告人：Michael Zhang

报告人单位：UC Davis

时间：2023年8月7日（周一）下午4:00 ~ 5:00

地点：中关村校区主楼418会议室

腾讯会议：834-408-282

报告内容简介：

Vehicular emissions and traffic congestion around the world have been deteriorating due to rapid urbanization and increase in car ownership. The worsening traffic burdens drivers with higher operating costs and longer travel times, and exposes pedestrians to higher concentrations of pollutants such as PM, 𝑁𝑂𝑥, 𝑆𝑂2. One promising technology to reduce traffic congestion is connected autonomous vehicles (CAVs), a technology that enables self-driving and information sharing between drivers and infrastructure. With advanced wireless technologies offering extremely low latency, platooning control of CAVs can be realized to improve traffic efficiency and safety. However, conventional platooning control algorithms require complex computations and therefore are not perfectly suited to real-time operations. To overcome this challenge, this topic focuses on designing an innovative learning framework for platooning control capable of reducing fuel consumption through the four basic platoon manipulations: split, acceleration, deceleration, and no-op. We integrate reinforcement learning (RL) with neural networks (NNs) to be able to model non-linear relationships between inputs and outputs for a complex application. The experimental results show a decreasing trend of the fuel consumption and a growing trend of the reward, and demonstrate that the proposed DRL platooning control is effective to reduce fuel consumption and improve mobility.

主讲人简介：

Dr. H. Michael Zhang is a Professor in the Department of Civil and Environmental Engineering at the University of California Davis. Prof. Zhang's current research focuses on applications of systems theory to transportation systems analysis and operations. Specific topics include traffic flow theory, traffic control, transportation network models, and intelligent transportation systems such as the application of wireless communications and grid computing technology to distributed, on-demand traffic management.Professor Zhang is an Area Editor of the Journal of Networks and Spatial Economics, Associate Editor of Transportation Research, Part B：Methodological and Transportmetrica A.

（承办：管理科学与物流系、科研与学术交流中心）