Cover Image

Physics-Informed Neural Networks for Nonlocal Flow Modeling of Connected Automated Vehicles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Chenguang, Yu, Huan
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Cooperative Connected Automated Vehicles for Mixed Traffic Safety
by: Zhao, Chenguang, et al.
Published: (2024)

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

Shared Control for Vehicle Lane-Changing with Uncertain Driver Behaviors
by: Wu, Jiamin, et al.
Published: (2025)

Adaptive Event-triggered Formation Control of Autonomous Vehicles
by: Wang, Ziming, et al.
Published: (2025)

Accelerating Time-Optimal Trajectory Planning for Connected and Automated Vehicles with Graph Neural Networks
by: Le, Viet-Anh, et al.
Published: (2025)

Performance-Sensitive Potential Functions for Efficient Flow of Connected and Automated Vehicles
by: Tzortzoglou, Filippos N., et al.
Published: (2023)

Reinforcement Learning for Freeway Lane-Change Regulation via Connected Vehicles
by: Sun, Ke, et al.
Published: (2024)

Fine-Tuning Hybrid Physics-Informed Neural Networks for Vehicle Dynamics Model Estimation
by: Fang, Shiming, et al.
Published: (2024)

Highway Managed Lane Usage and Tolling for Mixed Traffic Flows with Connected Automated Vehicles (CAVs) and High-Occupancy Vehicles (HOVs)
by: Ng, Max T. M., et al.
Published: (2024)

Physics-Informed Neural Network Modeling of Vehicle Collision Dynamics in Precision Immobilization Technique Maneuvers
by: Jiang, Yangye, et al.
Published: (2025)

Beyond Safety Filtering: Control Barrier Function-Informed Reinforcement Learning for Connected and Automated Vehicles
by: Xu, Jianye, et al.
Published: (2026)

Improved Physics-Informed Neural Network based AC Power Flow for Distribution Networks
by: Eeckhout, Victor, et al.
Published: (2024)

Combining Cooperative Re-Routing with Intersection Coordination for Connected and Automated Vehicles in Urban Networks
by: Typaldos, Panagiotis, et al.
Published: (2025)

Teaching Cars to Drive: Spotlight on Connected and Automated Vehicles
by: Tzortzoglou, Filippos N., et al.
Published: (2025)

Co-optimization of Vehicle Dynamics and Powertrain Management for Connected and Automated Electric Vehicles
by: Li, Zongtan, et al.
Published: (2024)

Safe and Stable Connected Cruise Control for Connected Automated Vehicles with Response Lag
by: Chen, Yuchen, et al.
Published: (2024)

Parking of Connected Automated Vehicles: Vehicle Control, Parking Assignment, and Multi-agent Simulation
by: Shen, Xu, et al.
Published: (2024)

A Traffic Adapative Physics-informed Learning Control for Energy Savings of Connected and Automated Vehicles
by: Shao, Yunli
Published: (2024)

Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates
by: Yang, Jingxuan, et al.
Published: (2022)

Online Adaptive Platoon Control for Connected and Automated Vehicles via Physics Enhanced Residual Learning
by: Zhang, Peng, et al.
Published: (2024)

A Long-Duration Autonomy Approach to Connected and Automated Vehicles
by: Beaver, Logan E.
Published: (2024)

Real-Time Physics-Aware Battery Health Monitoring from Partial Charging Profiles via Physics-Informed Neural Networks
by: Gu, Xubo, et al.
Published: (2025)

Formation and Investigation of Cooperative Platooning at the Early Stage of Connected and Automated Vehicles Deployment
by: Mu, Zeyu, et al.
Published: (2025)

Energy-efficient Merging of Connected and Automated Vehicles using Control Barrier Functions
by: Deshpande, Shreshta Rajakumar, et al.
Published: (2025)

Modeling Power Systems Dynamics with Symbolic Physics-Informed Neural Networks
by: Tran, Huynh T. T., et al.
Published: (2023)

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

On Physics-Informed Neural Network Control for Power Electronics
by: Hui, Peifeng, et al.
Published: (2024)

karl. - A Research Vehicle for Automated and Connected Driving
by: Busch, Jean-Pierre, et al.
Published: (2026)

Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs
by: Lee, Jonathan W., et al.
Published: (2024)

Extremum Seeking for PDE Systems using Physics-Informed Neural Networks
by: Guo, Haojin, et al.
Published: (2025)

Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification
by: Meng, Yiming, et al.
Published: (2024)

Physics-Informed Adaptive Deep Koopman Operator Modeling for Autonomous Vehicle Dynamics
by: Zhang, Jianhua, et al.
Published: (2025)

Distributed Optimization for Traffic Light Control and Connected Automated Vehicle Coordination in Mixed-Traffic Intersections
by: Le, Viet-Anh, et al.
Published: (2024)

Stochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios
by: Le, Viet-Anh, et al.
Published: (2023)

The Role of Integrity Monitoring in Connected and Automated Vehicles: Current State-of-Practice and Future Directions
by: Nayak, Saswat Priyadarshi, et al.
Published: (2025)

Learning Robust Regions of Attraction Using Rollout-Enhanced Physics-Informed Neural Networks with Policy Iteration
by: Wang, Junkai, et al.
Published: (2025)

Social Resource Allocation in a Mobility System with Connected and Automated Vehicles: A Mechanism Design Problem
by: Chremos, Ioannis Vasileios, et al.
Published: (2019)

Defense via Behavior Attestation against Attacks in Connected and Automated Vehicles based Federated Learning Systems
by: Badu-Marfo, Godwin, et al.
Published: (2024)

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)

SPformer: A Transformer Based DRL Decision Making Method for Connected Automated Vehicles
by: Han, Ye, et al.
Published: (2024)