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Cooperative Highway Work Zone Merge Control based on Reinforcement
  Learning in A Connected and Automated Environment

Cooperative Highway Work Zone Merge Control based on Reinforcement Learning in A Connected and Automated Environment

Transportation Research Record (TRR), 2020
21 January 2020
Tianzhu Ren
Yuanchang Xie
Liming Jiang
ArXiv (abs)PDFHTML

Papers citing "Cooperative Highway Work Zone Merge Control based on Reinforcement Learning in A Connected and Automated Environment"

3 / 3 papers shown
Decentralized Cooperative Lane Changing at Freeway Weaving Areas Using
  Multi-Agent Deep Reinforcement Learning
Decentralized Cooperative Lane Changing at Freeway Weaving Areas Using Multi-Agent Deep Reinforcement Learning
Yi Hou
P. Graf
AI4CE
163
12
0
05 Oct 2021
A Multi-Agent Deep Reinforcement Learning Coordination Framework for
  Connected and Automated Vehicles at Merging Roadways
A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging RoadwaysAmerican Control Conference (ACC), 2021
S. Nakka
Behdad Chalaki
Andreas A. Malikopoulos
175
33
0
23 Sep 2021
Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles --
  A Deep Reinforcement Learning Approach
Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles -- A Deep Reinforcement Learning Approach
Liming Jiang
Yuanchang Xie
Danjue Chen
Tienan Li
Nicholas G. Evans
231
22
0
17 May 2020
1
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