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

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

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