Billy Williams
Professor
Director, Institute for Transportation Research and Education
- 919-515-7813
- bmwilli2@ncsu.edu
- 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
Civil Engineering
University of Virginia
Civil Engineering
North Carolina State University
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
- Impacts of Private Autonomous and Connected Vehicles on Transportation Network Demand in the Triangle Region, North Carolina
- Hasnat, M. M., Bardaka, E., Samandar, M. S., Rouphail, N., List, G., & Williams, B. (2021), JOURNAL OF URBAN PLANNING AND DEVELOPMENT. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000649
- Investigating the relationship between freeway rear-end crash rates and macroscopically modeled reaction time
- Ahmed, I., Williams, B. M., Samandar, M. S., & Chun, G. (2021), TRANSPORTMETRICA A-TRANSPORT SCIENCE. https://doi.org/10.1080/23249935.2021.1914769
- Crash Classification by Congestion Type for Highways
- Song, T.-J., Kim, S., Williams, B. M., Rouphail, N. M., & List, G. F. (2020), APPLIED SCIENCES-BASEL, 10(7). https://doi.org/10.3390/app10072583
- Application of a Discontinuous Form of Macroscopic Gazis-Herman-Rothery Model to Steady-State Freeway Traffic Stream Observations
- Ahmed, I., Williams, B. M., & Samandar, M. S. (2018), TRANSPORTATION RESEARCH RECORD, 2672(20), 51–62. https://doi.org/10.1177/0361198118799166
- 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
- Reliability Assessment Tool: Development and Prototype Testing
- List, G. F., Rouphail, N., Smith, R., & Williams, B. (2018), TRANSPORTATION RESEARCH RECORD, 2672(14), 29–38. https://doi.org/10.1177/0361198118798296
- Validation and Calibration of Freeway Reliability Methodology in the Highway Capacity Manual: Method and Case Studies
- Karmakar, N., Aghdashi, S., Rouphail, N. M., & Williams, B. M. (2018), TRANSPORTATION RESEARCH RECORD, 2672(15), 93–104. https://doi.org/10.1177/0361198118798723
- Weigh Station Impact on Truck Travel Time Reliability: Results and Findings from a Field Study and a Simulation Experiment
- Samandar, M. S., Williams, B. M., & Ahmed, I. (2018), TRANSPORTATION RESEARCH RECORD, 2672(9), 120–129. https://doi.org/10.1177/0361198118791667
- Advances in travel time reliability monitoring and assessment
- List, G. F., & Williams, B. (2017), Journal of Intelligent Transportation Systems, 21(6), 435–438. https://doi.org/10.1080/15472450.2017.1403536