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CVLight: Decentralized Learning for Adaptive Traffic Signal Control with
  Connected Vehicles

CVLight: Decentralized Learning for Adaptive Traffic Signal Control with Connected Vehicles

21 April 2021
Zhaobin Mo
Wangzhi Li
Yongjie Fu
Kangrui Ruan
Xuan Di
ArXivPDFHTML

Papers citing "CVLight: Decentralized Learning for Adaptive Traffic Signal Control with Connected Vehicles"

14 / 14 papers shown
Title
AI-Powered Urban Transportation Digital Twin: Methods and Applications
AI-Powered Urban Transportation Digital Twin: Methods and Applications
Xuan Di
Yongjie Fu
Mehmet K.Turkcan
Mahshid Ghasemi
Zhaobin Mo
Chengbo Zang
Abhishek Adhikari
Z. Kostić
Gil Zussman
AI4CE
98
0
0
30 Dec 2024
The Streetscape Application Services Stack (SASS): Towards a Distributed Sensing Architecture for Urban Applications
The Streetscape Application Services Stack (SASS): Towards a Distributed Sensing Architecture for Urban Applications
Navid Salami Pargoo
Mahshid Ghasemi
Shuren Xia
Mehmet Kerem Turkcan
Taqiya Ehsan
...
Yuan Sun
Javad Ghaderi
Gil Zussman
Z. Kostić
Jorge Ortiz
96
2
0
29 Nov 2024
Multi-Agent Reinforcement Learning for Markov Routing Games: A New
  Modeling Paradigm For Dynamic Traffic Assignment
Multi-Agent Reinforcement Learning for Markov Routing Games: A New Modeling Paradigm For Dynamic Traffic Assignment
Zhenyu Shou
Xu Chen
Yongjie Fu
Xuan Di
38
41
0
22 Nov 2020
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy:
  From Physics-Based to AI-Guided Driving Policy Learning
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning
Xuan Di
Rongye Shi
85
175
0
10 Jul 2020
Efficiency and Equity are Both Essential: A Generalized Traffic Signal
  Controller with Deep Reinforcement Learning
Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning
Shengchao Yan
Jingwei Zhang
Daniel Buescher
Wolfram Burgard
25
8
0
09 Mar 2020
Optimizing Traffic Lights with Multi-agent Deep Reinforcement Learning
  and V2X communication
Optimizing Traffic Lights with Multi-agent Deep Reinforcement Learning and V2X communication
Azhar Hussain
Tong Wang
Jiahua Cao
28
9
0
23 Feb 2020
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement
  Learning
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning
Zhenyu Shou
Xuan Di
39
57
0
17 Feb 2020
An Open-Source Framework for Adaptive Traffic Signal Control
An Open-Source Framework for Adaptive Traffic Signal Control
Wade Genders
S. Razavi
34
29
0
01 Sep 2019
Cooperative Schedule-Driven Intersection Control with Connected and
  Autonomous Vehicles
Cooperative Schedule-Driven Intersection Control with Connected and Autonomous Vehicles
Hsu-Chieh Hu
Stephen F. Smith
Rick Goldstein
27
12
0
03 Jul 2019
Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal
  Control
Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control
Tianshu Chu
Jie Wang
Lara Codecà
Zhaojian Li
42
666
0
11 Mar 2019
Using Reinforcement Learning with Partial Vehicle Detection for
  Intelligent Traffic Signal Control
Using Reinforcement Learning with Partial Vehicle Detection for Intelligent Traffic Signal Control
Rusheng Zhang
A. Ishikawa
Wenli Wang
Benjamin Striner
Ozan Tonguz
41
102
0
04 Jul 2018
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
189
8,833
0
04 Feb 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
280
18,587
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
1