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
- Response time of mixed platoons with traditional and autonomous vehicles in field trials: impact assessment on flow stability and safety
- Das, T., Ahmed, I., Williams, B. M., & Rouphail, N. M. (2023, December 29), TRANSPORTMETRICA A-TRANSPORT SCIENCE, Vol. 12. https://doi.org/10.1080/23249935.2023.2298498
- Investigating the relationship between freeway rear-end crash rates and macroscopically modeled reaction time
- Ahmed, I., Williams, B. M., Samandar, M. S., & Chun, G. (2022), TRANSPORTMETRICA A-TRANSPORT SCIENCE, 18(3), 1001–1024. https://doi.org/10.1080/23249935.2021.1914769
- 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, 147(1). https://doi.org/10.1061/(ASCE)UP.1943-5444.0000649
- 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
- Drone Delivery of an Automated External Defibrillator
- Rosamond, W. D., Johnson, A. M., Bogle, B. M., Arnold, E., Cunningham, C. J., Picinich, M., … Zègre-Hemsey, J. K. (2020), New England Journal of Medicine, 383(12), 1186–1188. https://doi.org/10.1056/NEJMc1915956
- 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., 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
Grants
- STRIDE Center's Administrative Representative at NCSU (previous title: Stride 2017 -Administration)
- US Dept. of Transportation (DOT)(1/19/17 - 3/31/24)
- STRIDE: Identifying and Mitigating Congestion Onset; Project J3
- US Dept. of Transportation (DOT)(1/01/20 - 12/31/23)
- NC Transportation Center of Excellence on Mobility and Congestion
- NC Department of Transportation(2/01/20 - 2/28/23)
- Southeastern Transportation, Research, Innovation, Development, and Education Center (STRIDE)(Project C4)
- US Dept. of Transportation (DOT)(8/01/20 - 4/30/22)
- Impacts of Autonomous Vehicle Technology on Transportation Systems
- NC Department of Transportation(8/01/18 - 7/31/21)
- AED Drone Delivery Project Support
- Duke University(9/01/19 - 5/31/21)
- Improving Work Zone Mobility through Planning, Design and Operations (STRIDE 2017, YR 1, Project J) (previous title: STRIDE-Project G. Improving Work Zone Mobility through Planning, Design and Operations)
- US Dept. of Transportation (DOT)(1/19/17 - 12/31/20)
- STRIDE: Fly-By Image Processing for Real Time Congestion Mitigation (Project H2)
- US Dept. of Transportation (DOT)(8/01/18 - 11/30/20)
- Rural Freight Transport Needs
- NC Department of Transportation(8/01/18 - 8/15/20)
- Freeway Management for Optimal Reliability (STRIDE 2017, YR1, Project I) (previous title: STRIDE-Project I. Freeway Management for Optimal Reliability)
- US Dept. of Transportation (DOT)(1/19/17 - 11/30/19)