selected publications academicarticle Tsapakis, I., Das, S., Anderson, P., Jessberger, S., & Holik, W. (2022). Improving Stratification Procedures and Accuracy of Annual Average Daily Traffic (AADT) Estimates for Non-Federal Aid-System (NFAS) Roads. 2676(2), 393-406. Das, S., Dutta, A., & Tsapakis, I. (2021). Topic Models from Crash Narrative Reports of Motorcycle Crash Causation Study. 2675(9), 449-462. Das, S., Kong, X., & Tsapakis, I. (2021). Hit and run crash analysis using association rules mining. Journal of Transportation Safety and Security. 13(2), 123-142. Khodadadi, A., Tsapakis, I., Das, S., Lord, D., & Li, Y. (2021). Application of different negative binomial parameterizations to develop safety performance functions for non-federal aid system roads. Accident Analysis and Prevention. 156, 106103-106103. Tsapakis, I. (2020). Estimating Truck Traffic Generated from Well Developments on Low-Volume Roads. Transportation Research Record. 2674(10), 512-524. Das, S., Tsapakis, I., & Datta, S. (2019). Safety Performance Functions of Low-Volume Roadways. Transportation Research Record. 2673(12), 798-810. Holik, W., Quiroga, C., Tsapakis, I., & Li, J. (2018). Accommodation of Saltwater Temporary Pipelines on the Roadside. Transportation Research Record. 2672(12), 198-208. Wang, J., Tsapakis, I., & Zhong, C. (2016). A space-time delay neural network model for travel time prediction. Engineering Applications of Artificial Intelligence. 52, 145-160. Tsapakis, I., & Schneider, W. H. (2015). Determining the optimal number of seasonal adjustment factor groupings when estimating annual average daily traffic and investigating their characteristics. 38(2), 181-199. Tsapakis, I., & Schneider, W. H. (2015). Use of Support Vector Machines to Assign Short-Term Counts to Seasonal Adjustment Factor Groups. Transportation Research Record. 2527(2527), 8-17. Chow, A., Santacreu, A., Tsapakis, I., Tanasaranond, G., & Cheng, T. (2014). Empirical assessment of urban traffic congestion. 48(8), 1000-1016. Bolbol, A., Cheng, T., & Tsapakis, I. (2014). A spatio-temporal approach for identifying the sample size for transport mode detection from GPS-based travel surveys: A case study of London's road network. Transportation Research Part C: Emerging Technologies. 43, 176-187. conference paper Kuhn, B. T., Balke, K., Brydia, R., Theiss, L., Tsapakis, I., Ruback, L., & Le, M. (2016). Evaluation of Variable Speed Limit Pilot Projects for Texas Department of Transportation. Transportation Research Procedia. 676-693.
