Follow
Subasish Das
Title
Cited by
Cited by
Year
Association knowledge for fatal run-off-road crashes by multiple correspondence analysis
S Das, X Sun
IATSS Research 39 (2), 146-155, 2016
1032016
Investigation on the wrong way driving crash patterns using multiple correspondence analysis
S Das, R Avelar, K Dixon, X Sun
Accident Analysis & Prevention 111, 43-55, 2018
1002018
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
922021
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 23 (1), 30-48, 2019
822019
Factor association with multiple correspondence analysis in vehicle–pedestrian crashes
S Das, X Sun
Transportation Research Record 2519 (1), 95-103, 2015
792015
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 7 (2), 114-123, 2018
772018
Text mining and topic modeling of compendiums of papers from transportation research board annual meetings
S Das, X Sun, A Dutta
Transportation Research Record 2552 (1), 48-56, 2016
702016
Estimating likelihood of future crashes for crash-prone drivers
S Das, X Sun, F Wang, C Leboeuf
Journal of traffic and transportation engineering (English edition) 2 (3 …, 2015
642015
Extracting patterns from Twitter to promote biking
S Das, A Dutta, G Medina, L Minjares-Kyle, Z Elgart
IATSS research 43 (1), 51-59, 2019
602019
Automated vehicle collisions in California: Applying Bayesian latent class model
S Das, A Dutta, I Tsapakis
IATSS research 44 (4), 300-308, 2020
592020
Sharing the road with autonomous vehicles: A qualitative analysis of the perceptions of pedestrians and bicyclists
MT Rahman, K Dey, S Das, M Sherfinski
Transportation research part F: traffic psychology and behaviour 78, 433-445, 2021
562021
Mining patterns of autonomous vehicle crashes involving vulnerable road users to understand the associated factors
B Kutela, S Das, B Dadashova
Accident Analysis & Prevention 165, 106473, 2022
552022
Work from home in the post-COVID world
X Kong, A Zhang, X Xiao, S Das, Y Zhang
Case Studies on Transport Policy 10 (2), 1118-1131, 2022
542022
Trends in transportation research: Exploring content analysis in topics
S Das, K Dixon, X Sun, A Dutta, M Zupancich
Transportation research record 2614 (1), 27-38, 2017
512017
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
492020
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 12 (14), 14-1540, 2014
482014
Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: Insights from a data mining and binary logit regression approach
R Tamakloe, S Das, EN Aidoo, D Park
Accident Analysis & Prevention 165, 106517, 2022
462022
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 2672 (34), 122-134, 2018
452018
Physics-guided, physics-informed, and physics-encoded neural networks in scientific computing
SA Faroughi, N Pawar, C Fernandes, M Raissi, S Das, NK Kalantari, ...
arXiv preprint arXiv:2211.07377, 2022
422022
YouTube as a source of information in understanding autonomous vehicle consumers: Natural language processing study
S Das, A Dutta, T Lindheimer, M Jalayer, Z Elgart
Transportation research record 2673 (8), 242-253, 2019
402019
The system can't perform the operation now. Try again later.
Articles 1–20