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Subasish Das

Showing results (11-20 of 56) with videos related to

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Accident; 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.
Accident; Analysis and Prevention|May 7, 2025
Pattern recognition in crash clusters involving vehicles with advanced driving technologiesReuben Tamakloe, Mahdi Khorasani, Subasish Das, et al.
Accident; Analysis and Prevention|June 23, 2020
Understanding speeding behavior from naturalistic driving data: Applying classification based association rule miningXiaoqiang Kong, Subasish Das, Kartikeya Jha, et al.
Accident; Analysis and Prevention|April 19, 2025
Evaluating crash risk factors of farm equipment vehicles on county and non-county roads using interpretable tabular deep learning (TabNet)Md Monzurul Islam, Jinli Liu, Rohit Chakraborty, et al.
Accident; Analysis and Prevention|December 7, 2020
Exploration of the relationship among roadway characteristics, operating speed, and crashes for city streets using path analysisEun Sug Park, Kay Fitzpatrick, Subasish Das, et al.
Accident; Analysis and Prevention|September 14, 2025
A data-driven approach to child pedestrian crash analysis using dimension reduction, clustering, and explainable AISwastika Barua, Rohit Chakraborty, Md Monzurul Islam, et al.
Accident; Analysis and Prevention|August 20, 2021
Patterns of near-crash events in a naturalistic driving dataset: Applying rules miningXiaoqiang Kong, Subasish Das, Hongmin Tracy Zhou, et al.
Pageof 6

Showing results (11-20 of 56) with videos related to

Sort By:
Pageof 6
Accident; 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.
Accident; Analysis and Prevention|May 7, 2025
Pattern recognition in crash clusters involving vehicles with advanced driving technologiesReuben Tamakloe, Mahdi Khorasani, Subasish Das, et al.
Accident; Analysis and Prevention|June 23, 2020
Understanding speeding behavior from naturalistic driving data: Applying classification based association rule miningXiaoqiang Kong, Subasish Das, Kartikeya Jha, et al.
Accident; Analysis and Prevention|April 19, 2025
Evaluating crash risk factors of farm equipment vehicles on county and non-county roads using interpretable tabular deep learning (TabNet)Md Monzurul Islam, Jinli Liu, Rohit Chakraborty, et al.
Accident; Analysis and Prevention|December 7, 2020
Exploration of the relationship among roadway characteristics, operating speed, and crashes for city streets using path analysisEun Sug Park, Kay Fitzpatrick, Subasish Das, et al.
Accident; Analysis and Prevention|September 14, 2025
A data-driven approach to child pedestrian crash analysis using dimension reduction, clustering, and explainable AISwastika Barua, Rohit Chakraborty, Md Monzurul Islam, et al.
Accident; Analysis and Prevention|August 20, 2021
Patterns of near-crash events in a naturalistic driving dataset: Applying rules miningXiaoqiang Kong, Subasish Das, Hongmin Tracy Zhou, et al.
Pageof 6