Multi-hop Upstream Anticipatory Traffic Signal Control with Deep Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Xiaocan, Wang, Xiaoyu, Smirnov, Ilia, Sanner, Scott, Abdulhai, Baher |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generalized Multi-hop Traffic Pressure for Heterogeneous Traffic Perimeter Control
by: Li, Xiaocan, et al.
Published: (2024)
by: Li, Xiaocan, et al.
Published: (2024)
Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers
by: Wang, Xiaoyu, et al.
Published: (2024)
by: Wang, Xiaoyu, et al.
Published: (2024)
Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control
by: Duan, Wenchang, et al.
Published: (2024)
by: Duan, Wenchang, et al.
Published: (2024)
ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement Learning
by: Wang, Maonan, et al.
Published: (2022)
by: Wang, Maonan, et al.
Published: (2022)
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2024)
by: Wang, Xuefeng, et al.
Published: (2024)
Multi-Objective Reinforcement Learning for Tactical Decision Making for Trucks in Highway Traffic
by: Pathare, Deepthi, et al.
Published: (2026)
by: Pathare, Deepthi, et al.
Published: (2026)
Systematic Analyses of Reinforcement Learning Controllers in Signalized Urban Corridors
by: Song, Xiaofei, et al.
Published: (2026)
by: Song, Xiaofei, et al.
Published: (2026)
Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization
by: Zhang, Liang, et al.
Published: (2021)
by: Zhang, Liang, et al.
Published: (2021)
Cooperative Cruising: Reinforcement Learning-Based Time-Headway Control for Increased Traffic Efficiency
by: Veksler, Yaron, et al.
Published: (2024)
by: Veksler, Yaron, et al.
Published: (2024)
Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning
by: Ma, Chaolun, et al.
Published: (2022)
by: Ma, Chaolun, et al.
Published: (2022)
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
by: Mandal, Udayan, et al.
Published: (2024)
by: Mandal, Udayan, et al.
Published: (2024)
Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning
by: Lin, Runze, et al.
Published: (2025)
by: Lin, Runze, et al.
Published: (2025)
Multi-Objective Reinforcement Learning for Power Grid Topology Control
by: Lautenbacher, Thomas, et al.
Published: (2025)
by: Lautenbacher, Thomas, et al.
Published: (2025)
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
by: Chen, Hanyang, et al.
Published: (2024)
by: Chen, Hanyang, et al.
Published: (2024)
Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms
by: Mohammadi, Esmaeel, et al.
Published: (2024)
by: Mohammadi, Esmaeel, et al.
Published: (2024)
A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design
by: Shin, Hyo-Sang, et al.
Published: (2019)
by: Shin, Hyo-Sang, et al.
Published: (2019)
CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control
by: Zeng, Jinwei, et al.
Published: (2024)
by: Zeng, Jinwei, et al.
Published: (2024)
HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning
by: Zhang, Ziyan, et al.
Published: (2026)
by: Zhang, Ziyan, et al.
Published: (2026)
Representation Learning Enhanced Deep Reinforcement Learning for Optimal Operation of Hydrogen-based Multi-Energy Systems
by: Pu, Zhenyu, et al.
Published: (2026)
by: Pu, Zhenyu, et al.
Published: (2026)
LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
by: Wang, Maonan, et al.
Published: (2024)
by: Wang, Maonan, et al.
Published: (2024)
Hierarchical Deep Reinforcement Learning Framework for Multi-Year Asset Management Under Budget Constraints
by: Fard, Amir, et al.
Published: (2025)
by: Fard, Amir, et al.
Published: (2025)
Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning
by: Lee, Joonho, et al.
Published: (2019)
by: Lee, Joonho, et al.
Published: (2019)
Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2024)
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2024)
Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach
by: Luo, Man, et al.
Published: (2022)
by: Luo, Man, et al.
Published: (2022)
Communication Strategy on Macro-and-Micro Traffic State in Cooperative Deep Reinforcement Learning for Regional Traffic Signal Control
by: Gu, Hankang, et al.
Published: (2025)
by: Gu, Hankang, et al.
Published: (2025)
Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning
by: Lotfi, Fatemeh, et al.
Published: (2024)
by: Lotfi, Fatemeh, et al.
Published: (2024)
Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions
by: Zhang, Harry
Published: (2024)
by: Zhang, Harry
Published: (2024)
Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map
by: Liu, Shunyu, et al.
Published: (2024)
by: Liu, Shunyu, et al.
Published: (2024)
Constrained Reinforcement Learning for Safe Heat Pump Control
by: Zhang, Baohe, et al.
Published: (2024)
by: Zhang, Baohe, et al.
Published: (2024)
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
by: Covone, Stefano, et al.
Published: (2025)
by: Covone, Stefano, et al.
Published: (2025)
Balancing Specialization and Centralization: A Multi-Agent Reinforcement Learning Benchmark for Sequential Industrial Control
by: Maus, Tom, et al.
Published: (2025)
by: Maus, Tom, et al.
Published: (2025)
A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforcement Learning in Traffic Signal Control
by: Rezaali, Arash, et al.
Published: (2025)
by: Rezaali, Arash, et al.
Published: (2025)
Deep Reinforcement Learning for Advanced Longitudinal Control and Collision Avoidance in High-Risk Driving Scenarios
by: Chen, Dianwei, et al.
Published: (2024)
by: Chen, Dianwei, et al.
Published: (2024)
Trustworthy and Explainable Deep Reinforcement Learning for Safe and Energy-Efficient Process Control: A Use Case in Industrial Compressed Air Systems
by: Bezold, Vincent, et al.
Published: (2025)
by: Bezold, Vincent, et al.
Published: (2025)
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
by: Bokade, Rohit, et al.
Published: (2024)
by: Bokade, Rohit, et al.
Published: (2024)
A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning
by: Gu, Hankang, et al.
Published: (2025)
by: Gu, Hankang, et al.
Published: (2025)
ON-Traffic: An Operator Learning Framework for Online Traffic Flow Estimation and Uncertainty Quantification from Lagrangian Sensors
by: Rap, Jake, et al.
Published: (2025)
by: Rap, Jake, et al.
Published: (2025)
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
by: Reiter, Rudolf, et al.
Published: (2025)
by: Reiter, Rudolf, et al.
Published: (2025)
Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2024)
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2024)
Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learning
by: Bekal, Gautham Udayakumar, et al.
Published: (2025)
by: Bekal, Gautham Udayakumar, et al.
Published: (2025)
Similar Items
-
Generalized Multi-hop Traffic Pressure for Heterogeneous Traffic Perimeter Control
by: Li, Xiaocan, et al.
Published: (2024) -
Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers
by: Wang, Xiaoyu, et al.
Published: (2024) -
Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control
by: Duan, Wenchang, et al.
Published: (2024) -
ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement Learning
by: Wang, Maonan, et al.
Published: (2022) -
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2024)