Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks

29 March 2018

Papers citing "Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks"

22 / 22 papers shown

Title
FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities Mingyuan Li Jiahao Wang Bo Du Jun Shen Qiang Wu 53 1 0 28 Jan 2025
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles Ruoqi Wen Jiahao Huang Rongpeng Li Guoru Ding Zhifeng Zhao 37 1 0 21 Dec 2023
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control Maonan Wang Xi Xiong Yuheng Kan Chengcheng Xu Man-On Pun 16 9 0 08 Dec 2023
Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control Xianyue Peng Hang Gao Hao Wang Huatian Zhang H. Michael Zhang 44 1 0 17 Oct 2023
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems Xiao-Yang Liu Ming Zhu S. Borst A. Elwalid 40 8 0 04 Feb 2023
Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach Yuli Zhang Shangbo Wang Ruiyuan Jiang 26 4 0 02 Jan 2023
Analysis of Anomalous Behavior in Network Systems Using Deep Reinforcement Learning with CNN Architecture Mohammad Hossein Modirrousta Parisa Forghani M. A. Shoorehdeli 35 0 0 29 Nov 2022
SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control Wenlu Du J. Ye Jingyi Gu Jing Li Hua Wei Gui-Liu Wang 33 29 0 20 Nov 2022
DQLAP: Deep Q-Learning Recommender Algorithm with Update Policy for a Real Steam Turbine System M. Modirrousta M. A. Shoorehdeli M. Yari A. Ghahremani 24 2 0 12 Oct 2022
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality Rex Chen Fei Fang Norman M. Sadeh 37 8 0 23 Jun 2022
DynLight: Realize dynamic phase duration with multi-level traffic signal control Li Zhang Shubin Xie J. Deng 40 0 0 07 Apr 2022
Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem Anikó Kopacz Ágnes Mester Sándor Kolumbán Lehel Csató 15 0 0 06 Apr 2022
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement Learning Jiaying Guo Long Cheng Shen Wang 18 34 0 31 Jan 2022
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 62 55 0 28 Sep 2021
Back to Basics: Deep Reinforcement Learning in Traffic Signal Control Sierk Kanis Laurens Samson D. Bloembergen Tim Bakker 35 4 0 15 Sep 2021
Tracking Control foe Multi-Agent Systems Using Broadcast Signals Based on Positive Realness Y. Amano Tomohiko Jimbo K. Fujimoto 29 4 0 14 Sep 2021
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem Chengwei Zhang Shan Jin Wanli Xue Xiaofei Xie Shengyong Chen Rong Chen 37 24 0 22 Apr 2021
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control Afshin Oroojlooy M. Nazari Davood Hajinezhad Jorge Silva 18 84 0 12 Oct 2020
Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles Pengyue Wang Y. Li Shashi Shekhar W. Northrop AAML 13 8 0 01 Jun 2020
Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning Shengchao Yan Jingwei Zhang Daniel Buescher Wolfram Burgard 6 8 0 09 Mar 2020
Optimizing Traffic Lights with Multi-agent Deep Reinforcement Learning and V2X communication Azhar Hussain Tong Wang Jiahua Cao 17 9 0 23 Feb 2020
Diagnosing Reinforcement Learning for Traffic Signal Control Guanjie Zheng Xinshi Zang Nan Xu Hua Wei Zhengyao Yu Vikash V. Gayah Kai Xu Z. Li 33 89 0 12 May 2019