Cover Image

Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Poudel, Bibek, Wang, Xuan, Li, Weizi, Zhu, Lei, Heaslip, Kevin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Design City-scale Transit Routes
by: Poudel, Bibek, et al.
Published: (2025)

Mixed Traffic Control and Coordination from Pixels
by: Villarreal, Michael, et al.
Published: (2023)

EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning
by: Poudel, Bibek, et al.
Published: (2023)

Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections
by: Wang, Dawei, et al.
Published: (2023)

Heterogeneous Mixed Traffic Control and Coordination
by: Islam, Iftekharul, et al.
Published: (2024)

Multi-Objective Reinforcement Learning for Large-Scale Mixed Traffic Control
by: Islam, Iftekharul, et al.
Published: (2025)

DeCoR: Design and Control Co-Optimization for Urban Streets Using Reinforcement Learning
by: Poudel, Bibek, et al.
Published: (2026)

Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement Learning
by: Liu, Songyang, et al.
Published: (2025)

Learning to Change: Choreographing Mixed Traffic Through Lateral Control and Hierarchical Reinforcement Learning
by: Wang, Dawei, et al.
Published: (2024)

Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic
by: Zhou, Wei, et al.
Published: (2021)

Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings
by: Wang, Zhizun, et al.
Published: (2026)

Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking
by: Zhu, Yujiao, et al.
Published: (2024)

Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
by: Jiang, Wenzhao, et al.
Published: (2024)

Elevation Aware 2D/3D Co-simulation Framework for Large-scale Traffic Flow and High-fidelity Vehicle Dynamics
by: Raskoti, Chandra, et al.
Published: (2025)

Multi-Agent Environments for Vehicle Routing Problems
by: Gama, Ricardo, et al.
Published: (2024)

Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning
by: Liu, Lin, et al.
Published: (2024)

A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control
by: Satheesh, Anirudh, et al.
Published: (2025)

Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control
by: Peng, Xianyue, et al.
Published: (2023)

Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2025)

Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2025)

MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
by: Zhu, Liwen, et al.
Published: (2021)

Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)

A Reinforcement Learning Approach to Quiet and Safe UAM Traffic Management
by: Murthy, Surya, et al.
Published: (2025)

Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models
by: Poudel, Bibek, et al.
Published: (2021)

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)

A Survey of Multi-Agent Deep Reinforcement Learning with Communication
by: Zhu, Changxi, et al.
Published: (2022)

Bandwidth-constrained Variational Message Encoding for Cooperative Multi-agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2025)

Competitive Multi-Operator Reinforcement Learning for Joint Pricing and Fleet Rebalancing in AMoD Systems
by: Toft, Emil Kragh, et al.
Published: (2026)

Multi-agent Off-policy Actor-Critic Reinforcement Learning for Partially Observable Environments
by: Zhaikhan, Ainur, et al.
Published: (2024)

Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds
by: Chandra, Rohan, et al.
Published: (2024)

Fairness Aware Reinforcement Learning via Proximal Policy Optimization
by: La Malfa, Gabriele, et al.
Published: (2025)

Self-Confirming Transformer for Belief-Conditioned Adaptation in Offline Multi-Agent Reinforcement Learning
by: Li, Tao, et al.
Published: (2023)

Origin-Destination Pattern Effects on Large-Scale Mixed Traffic Control via Multi-Agent Reinforcement Learning
by: Fan, Muyang, et al.
Published: (2025)

Aligning Microscopic Vehicle and Macroscopic Traffic Statistics: Reconstructing Driving Behavior from Partial Data
by: Zhang, Zhihao, et al.
Published: (2026)

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation
by: Yu, Seungjun, et al.
Published: (2025)

Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
by: Duan, Wenchang, et al.
Published: (2025)

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning
by: Gu, Hankang, et al.
Published: (2025)

Cooperative Cruising: Reinforcement Learning-Based Time-Headway Control for Increased Traffic Efficiency
by: Veksler, Yaron, et al.
Published: (2024)

SocialDriveGen: Generating Diverse Traffic Scenarios with Controllable Social Interactions
by: Tian, Jiaguo, et al.
Published: (2025)

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
by: Liu, Zichuan, et al.
Published: (2022)