William Barbour

According to our database, William Barbour authored at least 28 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable analysis of stop-and-go waves.

Junyi Ji, Derek Gloudemans, Yanbing Wang, Gergely Zachár, William Barbour, Jonathan Sprinkle, Benedetto Piccoli, Daniel B. Work

CoRR, 2024

Stop-and-go waves reconstruction via iterative refinement.

Junyi Ji, Alex Richardson, Derek Gloudemans, Gergely Zachár, Matthew Nice, William Barbour, Jonathan Sprinkle, Benedetto Piccoli, Daniel B. Work

CoRR, 2024

Phase Re-service in Reinforcement Learning Traffic Signal Control.

Zhiyao Zhang, George Gunter, Marcos Quiñones-Grueiro, Yuhang Zhang, William Barbour, Gautam Biswas, Daniel B. Work

CoRR, 2024

Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers.

Yuhang Zhang, Zhiyao Zhang, Marcos Quiñones-Grueiro, William Barbour, Clay Weston, Gautam Biswas, Daniel B. Work

CoRR, 2024

FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection.

Austin Coursey, Junyi Ji, Marcos Quiñones-Grueiro, William Barbour, Yuhang Zhang, Tyler Derr, Gautam Biswas, Daniel B. Work

CoRR, 2024

Designing, simulating, and performing the 100-AV field test for the CIRCLES consortium: Methodology and Implementation of the Largest mobile traffic control experiment to date.

Mostafa Ameli, Sean T. McQuade, Jonathan W. Lee, Matthew R. Bunting, Matthew Nice, Han Wang, William Barbour, Ryan Weightman, Christopher Denaro, Ryan Delorenzo, Sharon Hornstein, Jon F. Davis, Dan Timsit, Riley Wagner, Rita Xu, Malaika Mahmood, Mikail Mahmood, Maria Laura Delle Monache, Benjamin Seibold, Daniel B. Work, Jonathan Sprinkle, Benedetto Piccoli, Alexandre M. Bayen

CoRR, 2024

Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs.

Jonathan W. Lee, Han Wang, Kathy Jang, Amaury Hayat, Matthew R. Bunting, Arwa Alanqary, William Barbour, Zhe Fu, Xiaoqian Gong, George Gunter, Sharon Hornstein, Abdul Rahman Kreidieh, Nathan Lichtlé, Matthew Walter Nice, William A. Richardson, Adit Shah, Eugene Vinitsky, Fangyu Wu, Shengquan Xiang, Sulaiman Almatrudi, Fahd Althukair, Rahul Bhadani, Joy Carpio, Raphaël Chekroun, Eric Cheng, Maria Teresa Chiri, Fang-Chieh Chou, Ryan Delorenzo, Marsalis T. Gibson, Derek Gloudemans, Anish Gollakota, Junyi Ji, Alexander Keimer, Nour Khoudari, Malaika Mahmood, Mikail Mahmood, Hossein Nick Zinat Matin, Sean T. McQuade, Rabie Ramadan, Daniel Urieli, Xia Wang, Yanbing Wang, Rita Xu, Mengsha Yao, Yiling You, Gergely Zachár, Yibo Zhao, Mostafa Ameli, Mirza Najamuddin Baig, Sarah Bhaskaran, Kenneth Butts, Manasi Gowda, Caroline Janssen, John Lee, Liam Pedersen, Riley Wagner, Zimo Zhang, Chang Zhou, Daniel B. Work, Benjamin Seibold, Jonathan Sprinkle, Benedetto Piccoli, Maria Laura Delle Monache, Alexandre M. Bayen

CoRR, 2024

Hierarchical Speed Planner for Automated Vehicles: A Framework for Lagrangian Variable Speed Limit in Mixed Autonomy Traffic.

Han Wang, Zhe Fu, Jonathan W. Lee, Hossein Nick Zinat Matin, Arwa Alanqary, Daniel Urieli, Sharon Hornstein, Abdul Rahman Kreidieh, Raphaël Chekroun, William Barbour, William A. Richardson, Dan Work, Benedetto Piccoli, Benjamin Seibold, Jonathan Sprinkle, Alexandre M. Bayen, Maria Laura Delle Monache

CoRR, 2024

MARVEL: Bringing Multi-Agent Reinforcement- Learning Based Variable Speed Limit Controllers Closer to Deployment.

Yuhang Zhang, Marcos Quiñones-Grueiro, Zhiyao Zhang, Yanbing Wang, William Barbour, Gautam Biswas, Daniel B. Work

IEEE Access, 2024

So you think you can track?

Derek Gloudemans, Gergely Zachár, Yanbing Wang, Junyi Ji, Matthew Nice, Matt Bunting, William Barbour, Jonathan Sprinkle, Benedetto Piccoli, Maria Laura Delle Monache, Alexandre M. Bayen, Benjamin Seibold, Daniel B. Work

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Middle Way to Traffic Enlightenment.

Matthew Walter Nice, George Gunter, Junyi Ji, Yuhang Zhang, Matthew R. Bunting, William Barbour, Jonathan Sprinkle, Daniel B. Work

Proceedings of the 15th ACM/IEEE International Conference on Cyber-Physical Systems, 2024

2023

MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits.

Yuhang Zhang, Marcos Quiñones-Grueiro, Zhiyao Zhang, Yanbing Wang, William Barbour, Gautam Biswas, Daniel B. Work

CoRR, 2023

SAILing CAVs: Speed-Adaptive Infrastructure-Linked Connected and Automated Vehicles.

Matthew Nice, Matthew R. Bunting, George Gunter, William Barbour, Jonathan Sprinkle, Dan Work

CoRR, 2023

I-24 MOTION: An instrument for freeway traffic science.

Derek Gloudemans, Yanbing Wang, Junyi Ji, Gergely Zachár, William Barbour, Daniel B. Work

CoRR, 2023

Cooperative Multi-Agent Reinforcement Learning for Large Scale Variable Speed Limit Control.

Yuhang Zhang, Marcos Quiñones-Grueiro, William Barbour, Zhiyao Zhang, Joshua Scherer, Gautam Biswas, Daniel B. Work

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Evaluation of Traffic Signal Control at Varying Demand Levels: A Comparative Study.

Zhiyao Zhang, Marcos Quiñones-Grueiro, William Barbour, Yuhang Zhang, Gautam Biswas, Daniel B. Work

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Online Min Cost Circulation for Multi-Object Tracking on Fragments.

Yanbing Wang, Junyi Ji, William Barbour, Daniel B. Work

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Platoon Trajectory Reconstruction with Conflict Resolution Using Semidefinite Relaxation.

Junyi Ji, Yanbing Wang, William Barbour, Daniel B. Work

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

The Interstate-24 3D Dataset: a new benchmark for 3D multi-camera vehicle tracking.

Derek Gloudemans, Daniel B. Work, Yanbing Wang, Gracie E. Gumm, William Barbour

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Optimization of vaccination for COVID-19 in the midst of a pandemic.

Qi Luo, Ryan Weightman, Sean T. McQuade, Mateo Díaz, Emmanuel Trélat, William Barbour, Dan Work, Samitha Samaranayake, Benedetto Piccoli

Networks Heterog. Media, 2022

Automatic vehicle trajectory data reconstruction at scale.

Yanbing Wang, Derek Gloudemans, Zi Nean Teoh, Lisa Liu, Gergely Zachár, William Barbour, Daniel B. Work

CoRR, 2022

Quantifying the impact of driver compliance on the effectiveness of variable speed limits and lane control systems.

Yuhang Zhang, Marcos Quiñones-Grueiro, William Barbour, Clay Weston, Gautam Biswas, Dan Work

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Optimization methods for analysis of empirical rail dispatching relative to train plans.

William Barbour, Daniel B. Work

J. Rail Transp. Plan. Manag., 2021

Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers.

Jonathan W. Lee, George Gunter, Rabie Ramadan, Sulaiman Almatrudi, Paige Arnold, John Aquino, William Barbour, Rahul Bhadani, Joy Carpio, Fang-Chieh Chou, Marsalis T. Gibson, Xiaoqian Gong, Amaury Hayat, Nour Khoudari, Abdul Rahman Kreidieh, Maya Kumar, Nathan Lichtlé, Sean T. McQuade, Brian Q. Nguyen, Megan Ross, Sydney Truong, Eugene Vinitsky, Yibo Zhao, Jonathan Sprinkle, Benedetto Piccoli, Alexandre M. Bayen, Daniel B. Work, Benjamin Seibold

CoRR, 2021

2020

Model-Based String Stability of Adaptive Cruise Control Systems Using Field Data.

George Gunter, Caroline Janssen, William Barbour, Raphael E. Stern, Daniel B. Work

IEEE Trans. Intell. Veh., 2020

Enhanced data reconciliation of freight rail dispatch data.

William Barbour, Shankara Kuppa, Daniel B. Work

J. Rail Transp. Plan. Manag., 2020

2019

Data-driven methods for dockless bike infrastructure planning.

William Barbour, Ashley Majewski, Leigh Shoup, Eric Kopstain, Craig Philip, Daniel B. Work

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

2018

On the Data-Driven Prediction of Arrival Times for Freight Trains on U.S. Railroads.

William Barbour, Chinmaya Samal, Shankara Kuppa, Abhishek Dubey, Daniel B. Work

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018