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 | 99 | 2021 |
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 | 94 | 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 7 (2), 114-123, 2018 | 94 | 2018 |
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 | 84 | 2016 |
Automated vehicle collisions in California: Applying Bayesian latent class model S Das, A Dutta, I Tsapakis IATSS research 44 (4), 300-308, 2020 | 77 | 2020 |
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 | 70 | 2019 |
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 | 60 | 2017 |
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 | 49 | 2019 |
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 | 47 | 2018 |
Patterns of rainy weather crashes: Applying rules mining S Das, A Dutta, X Sun Journal of Transportation Safety & Security 12 (9), 1083-1105, 2020 | 45 | 2020 |
Technological perception on autonomous vehicles: perspectives of the non-motorists S Das, A Dutta, K Fitzpatrick Technology Analysis & Strategic Management 32 (11), 1335-1352, 2020 | 43 | 2020 |
Vehicle consumer complaint reports involving severe incidents: mining large contingency tables S Das, A Mudgal, A Dutta, SR Geedipally Transportation research record 2672 (32), 72-82, 2018 | 39 | 2018 |
Investigating user ridership sentiments for bike sharing programs S Das, X Sun, A Dutta Journal of Transportation Technologies 5 (2), 69-75, 2015 | 29 | 2015 |
Pedestrians under influence (PUI) crashes: Patterns from correspondence regression analysis S Das, S Ashraf, A Dutta, LN Tran Journal of safety research 75, 14-23, 2020 | 27 | 2020 |
Flooding related traffic crashes: findings from association rules S Das, X Sun, S Goel, M Sun, A Rahman, A Dutta Journal of Transportation Safety & Security 14 (1), 111-129, 2022 | 23 | 2022 |
Applying Bayesian data mining to measure the effect of vehicular defects on crash severity S Das, A Dutta, SR Geedipally Journal of Transportation Safety & Security 13 (6), 605-621, 2021 | 22 | 2021 |
Extremely serious crashes on urban roadway networks: Patterns and trends S Das, A Dutta IATSS research 44 (3), 248-252, 2020 | 19 | 2020 |
Hit and run crashes: Knowledge extraction from bicycle involved crashes using first and frugal tree S Das, A Dutta, X Kong, X Sun International journal of transportation science and technology 8 (2), 146-160, 2019 | 17 | 2019 |
Topic models from crash narrative reports of motorcycle crash causation study S Das, A Dutta, I Tsapakis Transportation research record 2675 (9), 449-462, 2021 | 15 | 2021 |
Vehicle involvements in hydroplaning crashes: Applying interpretable machine learning S Das, A Dutta, K Dey, M Jalayer, A Mudgal Transportation research interdisciplinary perspectives 6, 100176, 2020 | 15 | 2020 |