Modeling adaptive platoon and reservation based autonomous intersection control: a deep reinforcement learning approach

Modeling adaptive platoon and reservation based autonomous intersection control: a deep reinforcement learning approach

As a strategy to reduce travel delay and enhance energy efficiency, platooning of connected and autonomous vehicles (CAVs) at non-signalized intersections has become increasingly popular in academia. However, few studies have attempted to model the relation between the optimal platoon size and the t...

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Bibliographic Details
Main Authors: Li, Duowei, Wu, Jianping, Zhu, Feng, Chen, Tianyi, Wong, Yiik Diew
Other Authors: School of Civil and Environmental Engineering
Format: Conference Paper
Language:English
Published: 2022
Subjects:
Engineering::Civil engineering::Transportation
Engineering::Computer science and engineering::Computer applications
Connected and Autonomous Vehicle
Adaptive Platoon
Intersection Control
Deep Reinforcement Learning
Online Access:https://hdl.handle.net/10356/158101
https://heart2022.com/

Internet

https://hdl.handle.net/10356/158101
https://heart2022.com/

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