selected publications academic article Das, S., Sun, X., Dadashova, B., Rahman, M. A., & Sun, M. (2022). Identifying Patterns of Key Factors in Sun Glare-Related Traffic Crashes. Transportation Research Record. 2676(2), 165-175. 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. Transportation Research Record. 2676(2), 393-406. Das, S., Dey, K., & Rahman, M. T. (2022). Pattern recognition from cyclist under influence (CUI) crash events: application of block cluster analysis. Journal of Substance Use. 27(6), 585-590. Das, S., & Kong, X. (2022). Quantifying Bridge Element Vulnerability over Time. Transportation Research Record. 2676(1), 460-471. Das, S., & Zubaidi, H. A. (2021). City Transit Rider Tweets: Understanding Sentiments and Politeness. 30(1), 111-126. Jalayer, M., Pour-Rouholamin, M., Patel, D., Das, S., & Parvardeh, H. (2021). A penalized-likelihood approach to characterizing bridge-related crashes in New Jersey. Traffic Injury Prevention. 22(1), 63-67. 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. Das, S. (2021). Autonomous vehicle safety: Understanding perceptions of pedestrians and bicyclists. Transportation Research Part F: Traffic Psychology and Behaviour. 81, 41-54. Kong, X., Das, S., Zhou, H., & Zhang, Y. (2021). Characterizing phone usage while driving: Safety impact from road and operational perspectives using factor analysis. Accident Analysis and Prevention. 152, 106012-106012. Park, E. S., Fitzpatrick, K., Das, S., & Avelar, R. (2021). Exploration of the relationship among roadway characteristics, operating speed, and crashes for city streets using path analysis. Accident Analysis and Prevention. 150, 105896-105896. Das, S. (2021). Exploratory Analysis of Unmanned Aircraft Sightings using Text Mining. Transportation Research Record. 2675(5), 291-300. Das, S., Tamakloe, R., Zubaidi, H., Obaid, I., & Alnedawi, A. (2021). Fatal pedestrian crashes at intersections: Trend mining using association rules. Accident Analysis and Prevention. 160, 106306-106306. 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. Das, S. (2021). Identifying key patterns in motorcycle crashes: findings from taxicab correspondence analysis. Transportmetrica A: Transport Science. 17(4), 593-614. Kong, X., Das, S., Zhang, Y., & Xiao, X. (2021). Lessons learned from pedestrian-driver communication and yielding patterns. Transportation Research Part F: Traffic Psychology and Behaviour. 79, 35-48. Kong, X., Das, S., & Zhang, Y. (2021). Mining patterns of near-crash events with and without secondary tasks. Accident Analysis and Prevention. 157, 106162-106162. Zubaidi, H. A., Obaid, I. A., Alnedawi, A., & Das, S. (2021). Motor vehicle driver injury severity analysis utilizing a random parameter binary probit model considering different types of driving licenses in 4-legs roundabouts in South Australia. SAFETY SCIENCE. 134, 105083-105083. Zubaidi, H., Obaid, I., Alnedawi, A., Das, S., & Haque, M. M. (2021). Temporal instability assessment of injury severities of motor vehicle drivers at give-way controlled unsignalized intersections: A random parameters approach with heterogeneity in means and variances. Accident Analysis and Prevention. 156, 106151-106151. Das, S., Dutta, A., & Tsapakis, I. (2021). Topic Models from Crash Narrative Reports of Motorcycle Crash Causation Study. Transportation Research Record. 2675(9), 449-462. Das, S. (2021). Traffic volume prediction on low-volume roadways: a Cubist approach. Transportation Planning and Technology. 44(1), 93-110. Das, S., Tran, L., & Theel, M. (2021). Understanding patterns in Marijuana impaired traffic crashes. Journal of Substance Use. 26(1), 21-29. Geedipally, S. R., Das, S., Pratt, M. P., & Lord, D. (2020). Determining Skid Resistance Needs on Horizontal Curves for Different Levels of Precipitation. Transportation Research Record. 2674(9), 358-370. Dadashova, B., Griffin, G. P., Das, S., Turner, S., & Sherman, B. (2020). Estimation of Average Annual Daily Bicycle Counts using Crowdsourced Strava Data. Transportation Research Record. 2674(11), 390-402. Das, S., & Griffin, G. P. (2020). Investigating the Role of Big Data in Transportation Safety. Transportation Research Record. 2674(6), 244-252. Das, S., Dutta, A., & Sun, X. (2020). Patterns of rainy weather crashes: Applying rules mining. Journal of Transportation Safety and Security. 12(9), 1083-1105. Das, S., Ashraf, S., Dutta, A., & Tran, L. (2020). Pedestrians under influence (PUI) crashes: Patterns from correspondence regression analysis. JOURNAL OF SAFETY RESEARCH. 75, 14-23. Rahman, M. A., Sun, X., & Das, S. (2020). Reconfiguring Urban Undivided Four-Lane Highways to Five-Lane: A Nonideal but Very Effective Solution for Crash Reduction. Journal of Transportation Engineering Part A Systems. 146(10), Das, S., & White, L. D. (2020). RuralSpeedSafetyX: Interactive decision support tool to improve safety. SoftwareX. 11, 100493-100493. Das, S., Minh, L. e., Pratt, M. P., & Morgan, C. (2020). Safety effectiveness of truck lane restrictions: a case study on Texas urban corridors. International Journal of Urban Sciences. 24(1), 35-49. Das, S., Dutta, A., & Fitzpatrick, K. (2020). Technological perception on autonomous vehicles: perspectives of the non-motorists. Technology Analysis and Strategic Management. 32(11), 1335-1352. Das, S., Islam, M., Dutta, A., & Shimu, T. H. (2020). Uncovering Deep Structure of Determinants in Large Truck Fatal Crashes. Transportation Research Record. 2674(9), 742-754. Kong, X., Das, S., Jha, K., & Zhang, Y. (2020). Understanding speeding behavior from naturalistic driving data: Applying classification based association rule mining. Accident Analysis and Prevention. 144, 105620-105620. McCourt, R., Fitzpatrick, K., Koonce, P., & Das, S (2019). Speed Limits: Leading to Change. 89(4), 38-43. Trueblood, A. B., Pant, A., Kim, J., Kum, H., Perez, M., Das, S., & Shipp, E. M. (2019). A semi-automated tool for identifying agricultural roadway crashes in crash narratives. Traffic Injury Prevention. 20(4), 413-418. Fitzpatrick, K., McCourt, R., & Das, S. (2019). Current Attitudes among Transportation Professionals with Respect to the Setting of Posted Speed Limits. Transportation Research Record. 2673(4), 778-788. Das, S., Bibeka, A., Sun, X., Zhou, H. T., & Jalayer, M. (2019). Elderly Pedestrian Fatal Crash-Related Contributing Factors: Applying Empirical Bayes Geometric Mean Method. Transportation Research Record. 2673(8), 254-263. Das, S., Geedipally, S. R., Dixon, K., Sun, X., & Ma, C. (2019). Measuring the Effectiveness of Vehicle Inspection Regulations in Different States of the US. Transportation Research Record. 2673(5), 208-219. Das, S., Jha, K., Fitzpatrick, K., Brewer, M., & Shimu, T. H. (2019). Pattern Identification from Older Bicyclist Fatal Crashes. Transportation Research Record. 2673(6), 638-649. Das, S., Tsapakis, I., & Datta, S. (2019). Safety Performance Functions of Low-Volume Roadways. Transportation Research Record. 2673(12), 798-810. Das, S., Minjares-Kyle, L., Wu, L., & Henk, R. H. (2019). Understanding crash potential associated with teen driving: Survey analysis using multivariate graphical method. JOURNAL OF SAFETY RESEARCH. 70, 213-222. Das, S., Dutta, A., Lindheimer, T., Jalayer, M., & Elgart, Z. (2019). YouTube as a Source of Information in Understanding Autonomous Vehicle Consumers: Natural Language Processing Study. Transportation Research Record. 2673(8), 242-253.