Billy Williams

Professor

Director, Institute for Transportation Research and Education
  • 919-515-7813
  • Mann Hall 418

Dr. Billy M. Williams serves as the Director of the Institute for Transportation Research and Education and is a Professor in the Department of Civil, Construction, and Environmental Engineering at North Carolina State University. Previously he served as Assistant Professor in the School of Civil and Environmental Engineering at the Georgia Institute of Technology in Atlanta. Before beginning his academic career, Dr. Williams spent over five years as a consulting engineer with the firm of Kimley-Horn and Associates and four years as a commissioned officer in the U.S. Navy Civil Engineer Corps.

Dr. Williams is a recognized expert in the areas of analytical and simulation modeling of traffic operations and transportation networks, intelligent transport systems, and the application of rigorous statistical methods to a broad range of transportation modeling applications, including traffic condition forecasting and models of fundamental traffic flow characteristics.

Education

Ph.D. 1999

Civil Engineering

University of Virginia

M.C.E. 1990

Civil Engineering

North Carolina State University

B.S. 1984

Civil Engineering

North Carolina State University

Research Description

Dr. Williams is interested in intelligent transportation systems, travel time reliability, real-time control system optimization, transportation network simulation, applied statistics and time series analysis in transportation, and traffic flow theory. Funding for Dr. Williams' research program has come from a variety of sources including NSF, NCHRP, SHRP2, and the North Carolina Department of Transportation.

Publications

Data-driven approach for identifying spatiotemporally recurrent bottlenecks
Song, T.-J., Williams, B. M., & Rouphail, N. M. (2018), IET INTELLIGENT TRANSPORT SYSTEMS, 12(8), 756–764. https://doi.org/10.1049/iet-its.2017.0284
Real-Time Prediction of Seasonal Heteroscedasticity in Vehicular Traffic Flow Series
Huang, W., Jia, W., Guo, J., Williams, B. M., Shi, G., Wei, Y., & Cao, J. (2018), IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 19(10), 3170–3180. https://doi.org/10.1109/TITS.2017.2774289
Advances in travel time reliability monitoring and assessment
List, G. F., & Williams, B. (2017), Journal of Intelligent Transportation Systems, 21(6), 435–438.
Dynamic bandwidth analysis for coordinated arterial streets
Kim, S., Hajbabaie, A., Williams, B. M., & Rouphail, N. M. (2016), Journal of Intelligent Transportation Systems, 20(3), 294–310.
Dynamic traffic flow model for travel time estimation
Yi, T., & Williams, B. M. (2015), Transportation Research Record, (2526), 70–78.
Real time traffic flow outlier detection using short-term traffic conditional variance prediction
Guo, J. H., Huang, W., & Williams, B. M. (2015), Transportation Research. Part C, Emerging Technologies, 50, 160–172.
Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification
Guo, J. H., Huang, W., & Williams, B. M. (2014), Transportation Research. Part C, Emerging Technologies, 43, 50–64.
Modeling seasonal heteroscedasticity in vehicular traffic condition series using a seasonal adjustment approach
Shi, G. G., Guo, J. H., Huang, W., & Williams, B. M. (2014), Journal of Transportation Engineering, 140(5).
Modeling seasonal heteroscedasticity in vehicular traffic condition series using a seasonal adjustment approach (vol 140, 04014012, 2014)
Shi, G. G., Guo, J. H., Huang, W., & Williams, B. M. (2014),
Development of an oversaturated speed-flow model based on the highway capacity manual
Xu, Y. L., Williams, B. M., Rouphail, N. M., & Chase, R. T. (2013), Transportation Research Record, (2395), 41–48.

View all publications via NC State Libraries

View publications on Google Scholar

Grants

STRIDE: Fly-By Image Processing for Real Time Congestion Mitigation
US Dept. of Transportation (DOT)(8/01/18 - 7/31/19)
Rural Freight Transport Needs
NC Department of Transportation(8/01/18 - 1/31/20)
Impacts of Autonomous Vehicle Technology on Transportation Systems
NC Department of Transportation(8/01/18 - 7/31/20)
STRIDE-Workforce Development and Tech Transfer
US Dept. of Transportation (DOT)(8/01/17 - 6/30/19)
STRIDE-Project J. Transit in the Era of Shared Mobility
US Dept. of Transportation (DOT)(5/31/17 - 1/31/19)
STRIDE-Project I. Freeway Management for Optimal Reliability
US Dept. of Transportation (DOT)(1/19/17 - 6/30/19)
STRIDE-Project G. Improving Work Zone Mobility through Planning, Design and Operations
US Dept. of Transportation (DOT)(1/19/17 - 3/31/19)
STRIDE-Project F. Integrated Implementation of Innovative Intersection Designs
US Dept. of Transportation (DOT)(5/16/17 - 8/15/19)
Stride 2017 -Administration
US Dept. of Transportation (DOT)(1/19/17 - 9/30/22)
Data Fusion of Bluetooth with Automated Traffic Signal Performance Measures
Digiwest, LLC.(6/19/17 - 12/31/17)