HR job title
- TTI Associate Research Scientist
- Contact Info
Das, Subasish TTI Assistant Research Scientist
Positions
- TTI Assistant Research Scientist, Texas A&M Transportation Institute (TTI), Texas A&M University
- Overview
- Publications
- Contact
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Overview
Publications
selected publications
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academic article
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Das, S., Sun, X., Dadashova, B., Rahman, M. A., & Sun, M.
(2022).
Identifying Patterns of Key Factors in Sun Glare-Related Traffic Crashes. HIGHWAY FACILITY DESIGN.
2676(2), 165-175.
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Das, S., & Kong, X
(2022).
Quantifying Bridge Element Vulnerability over Time. HIGHWAY FACILITY DESIGN.
2676(1), 460-471.
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Das, S
(2021).
Identifying key patterns in motorcycle crashes: findings from taxicab correspondence analysis. Transportmetrica A Transport Science.
17(4), 593-614.
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Das, S., Tamakloe, R., Zubaidi, H., Obaid, I., & Alnedawi, A
(2021).
Fatal pedestrian crashes at intersections: Trend mining using association rules. Accident Analysis & Prevention.
160, 106306-106306.
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Das, S
(2021).
Autonomous vehicle safety: Understanding perceptions of pedestrians and bicyclists. Transp Res Part F Traffic Psychol Behav.
81, 41-54.
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Das, S., Dey, K., & Rahman, M. T
(2021).
Pattern recognition from cyclist under influence (CUI) crash events: application of block cluster analysis. Journal of Substance Use.
1-6.
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Kong, X., Das, S., & Zhang, Y.
(2021).
Mining patterns of near-crash events with and without secondary tasks. Accident Analysis & Prevention.
157, 106162-106162.
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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 & Prevention.
156, 106151-106151.
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Kong, X., Das, S., Zhang, Y., & Xiao, X
(2021).
Lessons learned from pedestrian-driver communication and yielding patterns. Transp Res Part F Traffic Psychol Behav.
79, 35-48.
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Das, S., & Zubaidi, H. A
(2021).
City Transit Rider Tweets: Understanding Sentiments and Politeness. Journal of Urban Technology.
1-16.
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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 & Prevention.
152, 106012-106012.
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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 & Prevention.
150, 105896-105896.
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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.
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Das, S., Kong, X., & Tsapakis, I.
(2021).
Hit and run crash analysis using association rules mining. Journal of Transportation Safety & Security.
13(2), 123-142.
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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.
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Das, S
(2021).
Exploratory Analysis of Unmanned Aircraft Sightings using Text Mining. HIGHWAY FACILITY DESIGN.
2675(5), 036119812098723-036119812098723.
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Das, S
(2021).
Traffic volume prediction on low-volume roadways: a Cubist approach. Transportation Planning and Technology.
44(1), 93-110.
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Das, S., Tran, L., & Theel, M
(2021).
Understanding patterns in Marijuana impaired traffic crashes. Journal of Substance Use.
26(1), 21-29.
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Das, S., Ashraf, S., Dutta, A., & Tran, L
(2020).
Pedestrians under influence (PUI) crashes: Patterns from correspondence regression analysis. J Safety Res.
75, 14-23.
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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.
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Das, S., Dutta, A., & Sun, X
(2020).
Patterns of rainy weather crashes: Applying rules mining. Journal of Transportation Safety & Security.
12(9), 1083-1105.
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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), 04020116-04020116.
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Geedipally, S. R., Das, S., Pratt, M. P., & Lord, D
(2020).
Determining Skid Resistance Needs on Horizontal Curves for Different Levels of Precipitation. HIGHWAY FACILITY DESIGN.
2674(9), 358-370.
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Das, S., Islam, M., Dutta, A., & Shimu, T. H
(2020).
Uncovering Deep Structure of Determinants in Large Truck Fatal Crashes. HIGHWAY FACILITY DESIGN.
2674(9), 742-754.
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Kong, X., Das, S., Jha, K., & Zhang, Y
(2020).
Understanding speeding behavior from naturalistic driving data: Applying classification based association rule mining. Accident Analysis & Prevention.
144, 105620-105620.
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Das, S., & Griffin, G. P
(2020).
Investigating the Role of Big Data in Transportation Safety. HIGHWAY FACILITY DESIGN.
2674(6), 244-252.
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Dadashova, B., Griffin, G. P., Das, S., Turner, S., & Sherman, B.
(2020).
Estimation of Average Annual Daily Bicycle Counts using Crowdsourced Strava Data. HIGHWAY FACILITY DESIGN.
2674(11), 390-402.
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Das, S., & White, L. D
(2020).
RuralSpeedSafetyX: Interactive decision support tool to improve safety. SoftwareX.
11, 100493-100493.
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Das, S., Le, M., 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.
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Das, S., Minjares-Kyle, L., Wu, L., & Henk, R. H
(2019).
Understanding crash potential associated with teen driving: Survey analysis using multivariate graphical method. J Safety Res.
70, 213-222.
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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. HIGHWAY FACILITY DESIGN.
2673(8), 254-263.
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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. HIGHWAY FACILITY DESIGN.
2673(8), 242-253.
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Das, S., Jha, K., Fitzpatrick, K., Brewer, M., & Shimu, T. H
(2019).
Pattern Identification from Older Bicyclist Fatal Crashes. HIGHWAY FACILITY DESIGN.
2673(6), 638-649.
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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.
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Das, S., Geedipally, S. R., Dixon, K., Sun, X., & Ma, C
(2019).
Measuring the Effectiveness of Vehicle Inspection Regulations in Different States of the U.S. HIGHWAY FACILITY DESIGN.
2673(5), 208-219.
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Fitzpatrick, K., McCourt, R., & Das, S
(2019).
Current Attitudes among Transportation Professionals with Respect to the Setting of Posted Speed Limits. HIGHWAY FACILITY DESIGN.
2673(4), 778-788.
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McCourt, R., Fitzpatrick, K., Koonce, P., & Das, S
(2019).
Speed Limits: Leading to Change. ITE JOURNAL-INSTITUTE OF TRANSPORTATION ENGINEERS.
89(4), 38-43.
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Das, S., Tsapakis, I., & Datta, S.
(2019).
Safety Performance Functions of Low-Volume Roadways. HIGHWAY FACILITY DESIGN.
2673(12), 798.
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Das, S., Sun, X., Dadashova, B., Rahman, M. A., & Sun, M.
(2022).
Identifying Patterns of Key Factors in Sun Glare-Related Traffic Crashes. HIGHWAY FACILITY DESIGN.
2676(2), 165-175.
Contact
first name
- Subasish
has last name
- Das
Other
In the News
- s-das@tamu.edu