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    Mining patterns of near-crash events with and without secondary tasks

    Kong, Xiaoqiang / Das, Subasish / Zhang, Yunlong | Elsevier | 2021

    Patterns of near-crash events in a naturalistic driving dataset: Applying rules mining

    Kong, Xiaoqiang / Das, Subasish / Zhang, Yunlong | Elsevier | 2021

    Predicting pedestrian-involved crash severity using inception-v3 deep learning model

    Khan, Md Nasim / Das, Subasish / Liu, Jinli | Elsevier | 2024

    Understanding the drowsy driving crash patterns from correspondence regression analysis

    Rahman, M. Ashifur / Das, Subasish / Sun, Xiaoduan | Elsevier | 2022

    Pedestrians under influence (PUI) crashes: Patterns from correspondence regression analysis

    Das, Subasish / Ashraf, Sruthi / Dutta, Anandi et al. | Elsevier | 2020

    Evasive actions to prevent pedestrian collisions in varying space/time contexts in diverse urban and non-urban areas

    Sheykhfard, Abbas / Haghighi, Farshidreza / Das, Subasish et al. | Elsevier | 2023

    Fatal pedestrian crashes at intersections: Trend mining using association rules

    Das, Subasish / Tamakloe, Reuben / Zubaidi, Hamsa et al. | Elsevier | 2021

    Work from home in the post-COVID world

    Kong, Xiaoqiang / Zhang, Amy / Xiao, Xiao et al. | Elsevier | 2022

    Safe route-finding: A review of literature and future directions

    Sohrabi, Soheil / Weng, Yanmo / Das, Subasish et al. | Elsevier | 2022