Mixed Traffic

Mixed traffic research focuses on improving the safety and efficiency of road systems where autonomous vehicles (AVs) and human-driven vehicles (HVs) coexist. Current research emphasizes developing robust control strategies for AVs navigating unpredictable HV behavior, often employing reinforcement learning (RL) algorithms, physics-enhanced models, and multi-agent pathfinding techniques to optimize trajectory planning and conflict resolution. This field is crucial for the safe and efficient integration of AVs into existing infrastructure, impacting both the design of autonomous driving systems and the development of intelligent transportation systems.

Papers

November 19, 2023

Large-scale Mixed Traffic Control Using Dynamic Vehicle Routing and Privacy-Preserving Crowdsourcing
Dawei Wang, Weizi Li, Jia Pan
Privacy Preserving Crowdsourcing Context Mixed Traffic Mobile Crowdsensing Mixed Traffic Control

November 14, 2023

Cooperative Bidirectional Mixed-Traffic Overtaking
Faizan M. Tariq, Nilesh Suriyarachchi, Christos Mavridis, John S. Baras
Human Driven Vehicle Connected Autonomous Vehicle Mixed Traffic Bidirectional Correspondence Safe Overtaking

September 23, 2023

How Do Drivers Behave at Roundabouts in a Mixed Traffic? A Case Study Using Machine Learning
Farah Abu Hamad, Rama Hasiba, Deema Shahwan, Huthaifa I. Ashqar
Machine Learning Case Study Driver Behavior Mixed Traffic Driver State Driving Style Roundabout Traffic Conflict Dataset

August 26, 2023

A Conflict Resolution Dataset Derived from Argoverse-2: Analysis of the Safety and Efficiency Impacts of Autonomous Vehicles at Intersections
Guopeng Li, Yiru Jiao, Simeon C. Calvert, J. W. C. van Lint
Autonomous Vehicle High Efficiency Intersection Scenario Mixed Traffic Traffic Efficiency

August 23, 2023

Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing
Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao
Autonomous Vehicle Human Driven Vehicle Mixed Traffic Information Sharing Trustworthy Autonomy Aberrant Behavior

June 9, 2023

iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit Singh Bedi, Dinesh Manocha
Autonomous Vehicle Multi Agent Reinforcement Learning Collision Avoidance Mixed Traffic Closed Loop Planning Heterogeneous Traffic

May 30, 2023

Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles
Guopeng Li, Yiru Jiao, Victor L. Knoop, Simeon C. Calvert, J. W. C. van Lint
Autonomous Vehicle Raw Data Human Driven Vehicle Mixed Traffic Open Dataset Car Following

February 6, 2023

Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic
Xiangguo Liu, Ruochen Jiao, Bowen Zheng, Dave Liang, Qi Zhu
Autonomous Vehicle Sparse Connectivity Mixed Traffic Neural Planner Connected Vehicle Geometrically Sound LANE

January 30, 2023

Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks
Marvin Klimke, Benjamin Völz, Michael Buchholz
Graph Neural Network Automated Driving Human Driven Vehicle Multi Agent Planning Mixed Traffic Intersection Management Mixed Traffic Control

January 12, 2023

Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections
Dawei Wang, Weizi Li, Lei Zhu, Jia Pan
LeArning Abstract Multi Agent Reinforcement Learning External Control Intersection Scenario Human Driven Vehicle Complexity Level Mixed Traffic Unsignalized Intersection

December 4, 2022

Connected Cruise and Traffic Control for Pairs of Connected Automated Vehicles
Sicong Guo, Gabor Orosz, Tamas G. Molnar
Human Driven Vehicle Traffic Management Adaptive Cruise Control Connected Autonomous Vehicle Mixed Traffic Similar Pair Ground Vehicle Vehicle to Everything

November 22, 2022

Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic
Rodolfo Valiente, Behrad Toghi, Mahdi Razzaghpour, Ramtin Pedarsani, Yaser P. Fallah
Native Robustness Multi Agent Reinforcement Learning Human SAFETY Mixed Traffic Cooperative Behavior Mixed Autonomy Heterogeneous Vehicle

November 9, 2022

Improving safety in mixed traffic: A learning-based model predictive control for autonomous and human-driven vehicle platooning
Jie Wang, Zhihao Jiang, Yash Vardhan Pant
Autonomous Vehicle Predictive Control Learning Based Human SAFETY Human Driven Vehicle Platoon Control Mixed Traffic Car Following Gaussian Process Model Predictive Control

April 3, 2022

Autonomous Highway Merging in Mixed Traffic Using Reinforcement Learning and Motion Predictive Safety Controller
Qianqian Liu, Fengying Dang, Xiaofan Wang, Xiaoqiang Ren
Deep Reinforcement Learning Autonomous Driving Policy Reinforcement Learning Safety Critical Control Mixed Traffic Ramp Merging

February 27, 2022

On Intercultural Transferability and Calibration of Heterogeneous Shared Space Motion Models
Fatema T. Johora, Jörg P. Müller
Calibration Performance Motion Model Mixed Traffic Motion Pattern Cross Lingual Transferability Social Force

January 30, 2022

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments
Qi Liu, Zirui Li, Xueyuan Li, Jingda Wu, Shihua Yuan
Autonomous Vehicle Graph Drawing Graph Reinforcement Learning Mixed Traffic Multi Agent Decision Interactive Driving Interactive Traffic

January 24, 2022

Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform
Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth
Automated Driving Vehicle Perception Etruscan Mirror Mixed Traffic Co Simulation Cooperative Driving Automation

January 19, 2022

Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections
Zhengwei Bai, Peng Hao, Wei Shangguan, Baigen Cai, Matthew J. Barth
Automated Driving Intersection Scenario Mixed Traffic Connected Behavior Eco Driving Signalized Intersection

January 10, 2022

Brain-Inspired Modelling and Decision-making for Human-Like Autonomous Driving in Mixed Traffic Environment
Peng Hang, Yiran Zhang, Chen Lv
Autonomous Driving Autonomous Vehicle Decision Making Lane Change Mixed Traffic Human Like Autonomous Driving

December 14, 2021

Cooperation for Scalable Supervision of Autonomy in Mixed Traffic
Cameron Hickert, Sirui Li, Cathy Wu
Autonomous Vehicle Autonomous Agent Long Term Cooperation Legal Autonomy Mixed Traffic Autonomous Control Human Supervisor

Mixed Traffic

Papers

Large-scale Mixed Traffic Control Using Dynamic Vehicle Routing and Privacy-Preserving Crowdsourcing

Cooperative Bidirectional Mixed-Traffic Overtaking

How Do Drivers Behave at Roundabouts in a Mixed Traffic? A Case Study Using Machine Learning

A Conflict Resolution Dataset Derived from Argoverse-2: Analysis of the Safety and Efficiency Impacts of Autonomous Vehicles at Intersections

Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing

iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning

Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles

Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic

Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks

Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections

Connected Cruise and Traffic Control for Pairs of Connected Automated Vehicles

Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic

Improving safety in mixed traffic: A learning-based model predictive control for autonomous and human-driven vehicle platooning

Autonomous Highway Merging in Mixed Traffic Using Reinforcement Learning and Motion Predictive Safety Controller

On Intercultural Transferability and Calibration of Heterogeneous Shared Space Motion Models

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments

Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform

Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections

Brain-Inspired Modelling and Decision-making for Human-Like Autonomous Driving in Mixed Traffic Environment

Cooperation for Scalable Supervision of Autonomy in Mixed Traffic