William Barbour

发表

Predicting Delay Occurrence at Freight Rail Sidings

Daniel B. Work, William Barbour, Shankara Kuppa, 2018 .

City-to-City and Temporal Assessment of Peer City Scooter Policy

D. Work, M. Abkowitz, Caroline Janssen, 2020 .

Using machine learning to examine freight network spatial vulnerabilities to disasters: A new take on partial dependence plots

Paul M. Johnson, H. Baroud, J. Camp, 2022, Transportation Research Interdisciplinary Perspectives.

Automatic vehicle trajectory data reconstruction at scale

D. Work, William Barbour, Yanbing Wang, 2022, Transportation Research Part C: Emerging Technologies.

Delineating Canadian and Greenland polar bear (Ursus maritimus) populations by cluster analysis of movements

William Barbour, Jeffrey L. Laake, Ian Stirling, 2001 .

Estimating road traffic impacts of commute mode shifts

D. Work, C. Claudel, Kun Qian, 2023, PloS one.

Prediction of arrival times of freight traffic on US railroads using support vector regression

Daniel B. Work, Shankara Kuppa, Juan Carlos Martinez Mori, 2018, Transportation Research Part C: Emerging Technologies.

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

Sean T. McQuade, B. Piccoli, D. Work, 2022, Networks Heterog. Media.

Improving Railroad Grade Crossing Safety: Accurate Prediction of Train Arrival Times for Emergency Response Management and Driver Decision Support

Ren Wang, Daniel B. Work, William Barbour, 2019 .

Impacts of Covid-19 mode shift on road traffic

D. Work, C. Claudel, Yue Hu, 2020, 2005.01610.

I-24 MOTION: An instrument for freeway traffic science

D. Work, G. Zachár, William Barbour, 2023, Transportation Research Part C: Emerging Technologies.

A Quantitative Review of Cumulative Effects and Cumulative Stress in the Laurentian Great Lakes

William Barbour, 2017 .

Enhanced data reconciliation of freight rail dispatch data

Daniel B. Work, William Barbour, Shankara Kuppa, 2020, J. Rail Transp. Plan. Manag..

Data reconciliation of freight rail dispatch data

Daniel B. Work, William Barbour, Shankara Kuppa, 2019 .

Quantifying social distancing compliance and the effects of behavioral interventions using computer vision

D. Work, M. Abkowitz, William Barbour, 2021 .

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

Rabie A. Ramadan, Alexandre M. Bayen, Benjamin Seibold, 2021, Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems.

Interstate-24 MOTION: Closing the Loop on Smart Mobility

Daniel B. Work, William Barbour, Derek Gloudemans, 2020, 2020 IEEE Workshop on Design Automation for CPS and IoT (DESTION).

Estimating road traffic impacts of commute mode shifts

D. Work, S. Samaranayake, C. Claudel, 2020, PloS one.

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

Marcos Quiñones-Grueiro, William Barbour, Yanbing Wang, 2023, ArXiv.

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

D. Work, Gautam Biswas, Marcos Quiñones-Grueiro, 2023, 2023 IEEE International Conference on Smart Computing (SMARTCOMP).

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

D. Work, G. Biswas, Marcos Quiñones-Grueiro, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

Data driven methods for effective micromobility parking

Caleb Van Geffen, D. Work, A. Dubey, 2021, Transportation Research Interdisciplinary Perspectives.

Online Min Cost Circulation for Multi-Object Tracking on Fragments

William Barbour, Yanbing Wang, Junyi Ji, 2023, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC).

Data-driven methods for dockless bike infrastructure planning

Daniel B. Work, William Barbour, Ashley Majewski, 2019, 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).