18 May, 2021 (Tue)Time:
4:00 pmWebinar Link:
SpeakerMs. Miaomiao CAO,
Department of Electrical and Electronic Engineering
The University of Hong Kong
Intersections are prone to congestion in urban cities and various methods of traffic signal control have been designed to reduce congestion. At the same time, making competent speed plans for vehicles around the intersection to efficiently utilize green phase resources is also significant for congestion alleviation. The key is to improve the opportunities of vehicles to pass the intersection within the green time, and meanwhile reduce their waiting time and queue length at red lights. In this work, we propose a novel DeepGAL model for vehicle control, dividing vehicles into different groups, assigning the leaders in each group and delivering intelligent control on leaders with deep reinforcement learning. Extensive experiments are conducted based on two real-world datasets with distinct traffic flow rates, and the results demonstrate that our DeepGAL model achieves outstanding improvement over various performance metrics compared with five classic car-following models. We also test our DeepGAL model under indeterministic traffic signal phase and timing (SPAT) information, which indicates the effectiveness of our method even with partial SPAT information. In addition, considering the practical issue that only part of the vehicles could be controlled by our scheme, we conduct simulations on different penetration levels, which demonstrates that even with only 10% penetration of leader candidates, our method can greatly alleviate traffic congestion at intersections, which validates the feasibility of our DeepGAL model in practice.
Zoom Link (during COVID-19 special period):
Meeting ID: 923 0799 9396
Biography of the speaker:
CAO Miaomiao received the B.Eng. degree in Electric Power Engineering and Automation from Shanghai Jiao Tong University, China, in 2012 and the MSc degree in Electrical and Electronic Engineering from University of Hong Kong, Hong Kong, China, in 2016. She is currently a PhD student at the Department of Electrical and Electronic Engineering of University of Hong Kong. Her research interests include traffic signal control, deep reinforcement learning and intelligent transportation systems.
All are welcome!
OrganizerProf. V.O.K. Li
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