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Swastika Barua on Muck Rack

Swastika Barua

As seen in: Nature, Taylor & Francis Online
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Articles

Scalable prediction of local road traffic volume via macro-level indicators and spatial heterogeneity modeling

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By Jinli Liu, Subasish Das, Swastika Barua, Gaurab Chhetri
| Nature Verified
Abstract Accurate estimation of Annual Average Daily Traffic (AADT) on local roads is essential for transportation planning, infrastructure management, and safety analysis, yet traffic count data on these facilities are often limited.
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A novel cluster-based multinomial logit modeling for crash severity analysis in collisions involving automated ev-only manufacturer (AEVOM) vehicles

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By Tausif Islam Chowdhury, Swastika Barua, Shriyank Somvanshi, Subasish Das, Sharif Ahmed Rafat
| Nature Verified
Abstract The increasing presence of Automated Electric Vehicles-Only Manufacturer (AEVOM) vehicles underscores the need for better understanding of crash severity under partial automation. Utilizing police-reported crash data from Texas between 2017 and 2024, this study applies a two-stage analytical framework to capture heterogeneity in crash outcomes.
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Behavioral and temporal dynamics of child pedestrian crash injury patterns: evidence from random parameter modeling

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By Michael Starewich, Swastika Barua, Anannya Ghosh Tusti, Shriyank Somvanshi, Tausif Islam Chowdhury, Nawaf Alnawmasi, Subasish Das
| Nature Verified
Abstract This study investigates the behavioral, environmental, and roadway-related determinants of injury severity in crashes involving child pedestrians (aged under 15), utilizing six years (2017–2022) of crash data from Texas. A random-parameter logit model is employed to account for unobserved heterogeneity in driver behavior, roadway context, temporal conditions, and environmental factors.
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