Subasish Das
Subasish Das
Associate Research Scientist, Texas A&M Transportation Institute
Verified email at - Homepage
Cited by
Cited by
Association knowledge for fatal run-off-road crashes by multiple correspondence analysis
S Das, X Sun
IATSS Research 39 (2), 146-155, 2016
Investigation on the Wrong Way Driving Crash Patterns using Multiple Correspondence Analysis
S Das, R Avelar, K Dixon, X Sun
Accident Analysis and Prevention 111, 43-55, 2018
Factor association with multiple correspondence analysis in vehicle–pedestrian crashes
S Das, X Sun
Transportation Research Record 2519 (1), 95-103, 2015
Estimating Likelihood of Future Crashes for Crash-prone Drivers
S Das, X Sun, F Wang, C Leboeuf
Journal of Traffic and Transportation Engineering, 2015
Supervised association rules mining on pedestrian crashes in urban areas: identifying patterns for appropriate countermeasures
S Das, A Dutta, R Avelar, K Dixon, X Sun, M Jalayer
International Journal of Urban Sciences, 2019
Text Mining and Topic Modeling on Compendium Papers from Transportation Research Board Annual Meetings
S Das, X Sun, A Dutta
Transportation Research Record: Journal of Transportation Research Board, 2016
Extracting Patterns from Twitter to Promote Biking
S Das, A Dutta, G Medina, L Minjares-Kyle, Z Elgart
IATSS Research, 2019
Factors influencing the patterns of wrong-way driving crashes on freeway exit ramps and median crossovers: exploration using ‘Eclat’ association rules to promote safety
S Das, A Dutta, M Jalayer, A Bibeka, L Wu
International Journal of Transportation Science and Technology, 2018
Trends in Transportation Research: Exploring Content Analysis in Topics
S Das, K Dixon, X Sun, A Dutta, M Zupancich
Transportation Research Record, 2017
Characterizing public emotions and sentiments in COVID-19 environment: A case study of India
S Das, A Dutta
Journal of Human Behavior in the Social Environment 31 (1-4), 154-167, 2021
Investigating the Pattern of Traffic Crashes Under Rainy Weather by Association Rules in Data Mining
S Das, X Sun
Transportation Research Board 93rd Annual Meeting, 2014
Imaged-based discrete element modeling of hot mix asphalt mixtures
M Khattak, A Khattab, H Rizvi, S Das, M Bhuyan
Materials and Structures, 2014
Using Deep Learning in Severity Analysis of At-Fault Motorcycle Rider Crashes
S Das, A Dutta, K Dixon, L Minjares-Kyle, G Gillette
Transportation Research Record: Journal of Transportation Research Board, 2018
Vehicle Consumer Complaint Reports Involving Severe Incidents: Mining Large Contingency Tables
S Das, A Mudgal, A Dutta, S Geedipally
Transportation Research Record: Journal of Transportation Research Board, 2018
Synthesis of Methods for Estimating Pedestrian and Bicyclist Exposure to Risk at Areawide levels and on specific Transportation Facilities
S Turner, I Sener, M Martin, S Das, E Shipp, R Hampshire, K Fitzpatrick, ...
FHWA, 2017
Understanding Crash Potential Associated with Teen Driving: Survey Analysis using Multivariate Graphical Method
S Das, L Minjares-Kyle, L Wu
Journal of Safety Research, 2019
Pattern identification from older bicyclist fatal crashes
S Das, K Jha, K Fitzpatrick, M Brewer, TH Shimu
Transportation research record 2673 (6), 638-649, 2019
Understanding speeding behavior from naturalistic driving data: applying classification based association rule mining
X Kong, S Das, K Jha, Y Zhang
Accident Analysis & Prevention 144, 105620, 2020
Safety Impacts of Reduced Visibility in Inclement Weather
S Das, B Brimley, T Lindheimer, M Zupancich
2017 TRB Annual Meeting, 2017
Investigating User Ridership Sentiments for Bike Sharing Programs
S Das, X Sun, A Dutta
Journal of Transportation Technologies 5 (April 2015), pp.69-75, 2015
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