Cover Image

Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lu, Ke, Li, Dongjun, Wang, Qun, Yang, Kaidi, Zhao, Lin, Song, Ziyou
Format:	Preprint
Published:	2024
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Physics-Augmented Data-EnablEd Predictive Control for Eco-driving of Mixed Traffic Considering Diverse Human Behaviors
by: Li, Dongjun, et al.
Published: (2023)

Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement Learning
by: Zhou, Jingyuan, et al.
Published: (2024)

Bi-Level Control of Weaving Sections in Mixed Traffic Environments with Connected and Automated Vehicles
by: Yan, Longhao, et al.
Published: (2024)

BAP-SRL: Bayesian Adaptive Priority Safe Reinforcement Learning for Vehicle Motion Planning at Mixed Traffic Intersections
by: Lian, Yuansheng, et al.
Published: (2026)

Enforcing Cooperative Safety for Reinforcement Learning-based Mixed-Autonomy Platoon Control
by: Zhou, Jingyuan, et al.
Published: (2024)

Platoon-Centric Green Light Optimal Speed Advisory Using Safe Reinforcement Learning
by: Yang, Ruining, et al.
Published: (2025)

Integrated Power and Thermal Management for Enhancing Energy Efficiency and Battery Life in Connected and Automated Electric Vehicles
by: Li, Dongjun, et al.
Published: (2024)

Virtual Traffic Police: Large Language Model-Augmented Traffic Signal Control for Unforeseen Incidents
by: Wei, Shiqi, et al.
Published: (2026)

Traffic-Aware Eco-Driving Control in CAVs via Learning-based Terminal Cost Model
by: Ozkan, Mehmet Fatih, et al.
Published: (2025)

Fixed-time Disturbance Observer-Based MPC Robust Trajectory Tracking Control of Quadrotor
by: Xu, Liwen, et al.
Published: (2024)

Decentralized Robust Data-driven Predictive Control for Smoothing Mixed Traffic Flow
by: Shang, Xu, et al.
Published: (2024)

Optimal Safe Sequencing and Motion Control for Mixed Traffic Roundabouts
by: Chen, Yingqing, et al.
Published: (2025)

A Parameter Privacy-Preserving Strategy for Mixed-Autonomy Platoon Control
by: Zhou, Jingyuan, et al.
Published: (2024)

Safe Merging in Mixed Traffic with Confidence
by: Bang, Heeseung, et al.
Published: (2024)

Safe Reinforcement Learning for Power System Control: A Review
by: Yu, Peipei, et al.
Published: (2024)

Immersion and Invariance-based Disturbance Observer and Its Application to Safe Control
by: Wang, Yujie, et al.
Published: (2023)

Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach
by: Wang, Qiqing, et al.
Published: (2024)

Differentially-Private Distributed Model Predictive Control of Linear Discrete-Time Systems with Global Constraints
by: Zhang, Kaixiang, et al.
Published: (2024)

VisioPath: Vision-Language Enhanced Model Predictive Control for Safe Autonomous Navigation in Mixed Traffic
by: Wang, Shanting, et al.
Published: (2025)

An Optimal Control Framework for Influencing Human Driving Behavior in Mixed-Autonomy Traffic
by: Chari, Anirudh, et al.
Published: (2023)

Robust Nonlinear Data-Driven Predictive Control for Mixed Vehicle Platoons via Koopman Operator and Reachability Analysis
by: Li, Shuai, et al.
Published: (2025)

Mitigating Traffic Oscillations in Mixed Traffic Flow with Scalable Deep Koopman Predictive Control
by: Lyu, Hao, et al.
Published: (2025)

Make Safe Decisions in Power System: Safe Reinforcement Learning Based Pre-decision Making for Voltage Stability Emergency Control
by: Bi, Congbo, et al.
Published: (2024)

Socially Compliant Control of Autonomous Vehicles with Application to Eco-Driving
by: Wang, Shian
Published: (2024)

Dictionary-free Koopman Predictive Control for Autonomous Vehicles in Mixed Traffic
by: Shang, Xu, et al.
Published: (2025)

Disturbance Compensation for Safe Kinematic Control of Robotic Systems with Closed Architecture
by: Zhang, Fan, et al.
Published: (2025)

From Micro to Macro Flow Modeling: Characterizing Heterogeneity of Mixed-Autonomy Traffic
by: Zhao, Chenguang, et al.
Published: (2025)

Interaction-Aware Parameter Privacy-Preserving Data Sharing in Coupled Systems via Particle Filter Reinforcement Learning
by: Yu, Haokun, et al.
Published: (2025)

A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning
by: Yao, Fulong, et al.
Published: (2024)

Provable Traffic Rule Compliance in Safe Reinforcement Learning on the Open Sea
by: Krasowski, Hanna, et al.
Published: (2024)

An Input-to-State Safety Approach Towards Safe Control of a Class of Parabolic PDEs Under Disturbances
by: Roy, Tanushree, et al.
Published: (2022)

Adaptive Field Effect Planner for Safe Interactive Autonomous Driving on Curved Roads
by: Li, Qinghao, et al.
Published: (2025)

Efficient and Safe Planner for Automated Driving on Ramps Considering Unsatisfication
by: Li, Qinghao, et al.
Published: (2025)

Safe Reinforcement Learning-based Automatic Generation Control
by: Mohamed, Amr S., et al.
Published: (2025)

Neighbor-Aware Reinforcement Learning for Mixed Traffic Optimization in Large-scale Networks
by: Islam, Iftekharul, et al.
Published: (2024)

DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2024)

Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles
by: Wang, Jie, et al.
Published: (2024)

Enhancing High-Speed Cruising Performance of Autonomous Vehicles through Integrated Deep Reinforcement Learning Framework
by: Liang, Jinhao, et al.
Published: (2024)

Integrated Routing and Intersection Control for Mixed Traffic
by: Tzortzoglou, Filippos N., et al.
Published: (2026)

Learning Safe-by-Design Neural Network Controllers
by: Zhao, Yang, et al.
Published: (2026)