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兰州理工大学 [6]
清华大学 [5]
自动化研究所 [4]
武汉大学 [2]
厦门大学 [1]
大连理工大学 [1]
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期刊论文 [17]
会议论文 [4]
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Network-Wide Traffic Signal Control Based on MARL With Hierarchical Nash-Stackelberg Game Model
期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 145085-145100
作者:
Shen, Hui
;
Zhao, Hongxia
;
Zhang, Zundong
;
Yang, Xun
;
Song, Yutong
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  |  
浏览/下载:0/0
  |  
提交时间:2024/02/22
Games
Roads
Approximation algorithms
Q-learning
Multi-agent systems
Process control
Optimization
Reinforcement learning
Traffic control
Network-wide traffic signal control
hierarchical game model
multi-agent reinforcement learning
A General Framework for Decentralized Safe Optimal Control of Connected and Automated Vehicles in Multi-Lane Signal-Free Intersections
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15
作者:
Xu, Huile
;
Xiao, Wei
;
Cassandras, Christos G.
;
Zhang, Yi
;
Li, Li
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  |  
浏览/下载:15/0
  |  
提交时间:2022/06/06
Optimal control
Safety
Trajectory
Roads
Vehicle dynamics
Optimization
Automation
Connected and automated vehicles (CAVs)
optimal control
control barrier function (CBF)
A Survey on Deep Reinforcement Learning for Traffic Signal Control
会议论文
Kunming, PEOPLES R CHINA, MAY 22-24, 2021
作者:
Miao, Wei
;
Li, Long
;
Wang, Zhiwen
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  |  
浏览/下载:2/0
  |  
提交时间:2022/09/22
Deep reinforcement learning
Traffic signal control
Multi-agent
Intersection
Cooperative Deep Q-Learning With Q-Value Transfer for Multi-Intersection Signal Control
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 40797-40809
作者:
Ge, Hongwei
;
Song, Yumei
;
Wu, Chunguo
;
Ren, Jiankang
;
Tan, Guozhen
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  |  
浏览/下载:18/0
  |  
提交时间:2019/12/02
Deep reinforcement learning
multi-intersection signal control
Q-learning
Q-value transfer
cooperative
Two novel sensor control schemes for multi-target tracking via delta generalised labelled multi-Bernoulli filtering
期刊论文
IET SIGNAL PROCESSING, 2018, 卷号: 12, 期号: 9, 页码: 1131-1139
作者:
Zhang, Guanghua
;
Lian, Feng
;
Han, Chongzhao
;
Chen, Hui
;
Fu, Na
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浏览/下载:0/0
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提交时间:2019/11/15
target tracking
tracking filters
Monte Carlo methods
distributed sensors
distributed multisensor system
sensor node
fused multitarget posterior density
sensor control problem
multitarget filter
delta generalised labelled multiBernoulli filtering
multi-target tracking
single-sensor control schemes
Two novel sensor control schemes for multitarget tracking via delta generalised labelled multi-Bernoulli filtering
期刊论文
IET Signal Processing, 2018, 卷号: 12, 期号: 9, 页码: 1131-1139
作者:
Zhang, Guanghua
;
Lian, Feng
;
Han, Chongzhao
;
Chen, Hui
;
Fu, Na
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  |  
浏览/下载:12/0
  |  
提交时间:2020/11/14
Clutter (information theory)
Monte Carlo methods
Sensor nodes
Covariance intersection
Information gain
Multi-Bernoulli
Multi-sensor systems
Multi-target tracking
Objective functions
Sequential Monte Carlo methods
Statistical distance
Study on Dynamic and Switched Control System of Arterial Traffic Signal Based on Multi-Agent
会议论文
作者:
Ding, Chuandong
;
Tang, Zian
;
Tang, Minan
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  |  
浏览/下载:10/0
  |  
提交时间:2019/11/15
arterial
multi-agent
coordinated control
switched control
chaos genetic algorithm
fuzzy inference
A MULTI-INTERSECTION MODEL AND SIGNAL TIMING PLAN ALGORITHM FOR URBAN TRAFFIC SIGNAL CONTROL
期刊论文
TRANSPORT, 2017, 卷号: 32, 期号: 4
作者:
Hu, Wenbin
;
Wang, Huan
;
Du, Bo
;
Yan, Liping
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/05
cellular automata
signal timing plan
delay time
multi-intersection model
urban traffic signal control
Robust Multi-objective Optimization and Decision for Signal Timing at Single Intersection
会议论文
International Conference on Automatic Control and Information Engineering (ICACIE)
作者:
Chen, Juan[1]
;
Jia, Mingxing[2]
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/04/26
multi-objective optimization
robust
decision-making
traffic signal control
Multi-objective traffic signal control model for traffic management
期刊论文
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2015, 卷号: 7, 期号: 4, 页码: 196-200
作者:
Long, Q.
;
Zhang, J. -F.*
;
Zhou, Z. -M.
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  |  
浏览/下载:8/0
  |  
提交时间:2019/12/24
Fuzzy analytic process
Intersection signal controlling
Multi-objective model
Q-learning algorithm
Traffic management strategy
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