Showing results (11-20 of 176) with videos related to
Sort By:
Pageof 18
Archives of Suicide Research : Official Journal of the International Academy for Suicide Research|August 14, 2023
Unlocking the Narrative: Using Text Mining to Reveal the Hidden Factors behind Suicide Related Traffic CrashesSubasish Das, Boniphace Kutela, Nikhil MenonAccident; Analysis and Prevention|November 14, 2021
Mining patterns of autonomous vehicle crashes involving vulnerable road users to understand the associated factorsBoniphace Kutela, Subasish Das, Bahar DadashovaAccident; Analysis and Prevention|November 13, 2023
Decoding the impacts of contributory factors and addressing social disparities in crash frequency analysisJinli Liu, Subasish Das, Md Nasim KhanAccident; Analysis and Prevention|July 15, 2023
Data mining approach to explore emergency vehicle crash patterns: A comparative study of crash severity in emergency and non-emergency response modesMd Mahmud Hossain, Huaguo Zhou, Subasish DasJournal of Safety Research|March 3, 2023
Understanding the drowsy driving crash patterns from correspondence regression analysisM Ashifur Rahman, Subasish Das, Xiaoduan SunAccident; Analysis and Prevention|January 14, 2024
Predicting pedestrian-involved crash severity using inception-v3 deep learning modelMd Nasim Khan, Subasish Das, Jinli LiuAccident; Analysis and Prevention|July 31, 2024
The negative Binomial-Lindley model with Time-Dependent Parameters: Accounting for temporal variations and excess zero observations in crash dataRichard Dzinyela, Mohammadali Shirazi, Subasish Das, et al.Accident; Analysis and Prevention|September 2, 2023
Evasive actions to prevent pedestrian collisions in varying space/time contexts in diverse urban and non-urban areasAbbas Sheykhfard, Farshidreza Haghighi, Subasish Das, et al.Accident; Analysis and Prevention|February 12, 2021
Characterizing phone usage while driving: Safety impact from road and operational perspectives using factor analysisXiaoqiang Kong, Subasish Das, Hongmin Zhou, et al.Accident; Analysis and Prevention|November 25, 2017
Investigation on the wrong way driving crash patterns using multiple correspondence analysisSubasish Das, Raul Avelar, Karen Dixon, et al.Pageof 18