5 papers
Assessing the Role of Intersection Proximity in Pedestrian Crashes: Insights from Data Mining Approach
Ahmed Hossain, Xiaoduan Sun, Subasish Das
Although intersections are the most complex parts of the roadway network, pedestrian crashes at non-intersection locations are disproportionately frequent, highlighting a serious t…
Predicting Time Pressure of Powered Two-Wheeler Riders for Proactive Safety Interventions
Sumit S. Shevtekar, Chandresh K. Maurya, Gourab Sil
Time pressure critically influences risky maneuvers and crash proneness among powered two-wheeler riders, yet its prediction remains underexplored in intelligent transportation sys…
Latent Profiles of AI Risk Perception and Their Differential Association with Community Driving Safety Concerns: A Person-Centered Analysis
Amir Rafe, Anika Baitullah, Subasish Das
Public attitudes toward artificial intelligence (AI) and driving safety are typically studied in isolation using variable-centered methods that assume population homogeneity, yet r…
Community Driving-Safety Deterioration as a Push Factor for Public Endorsement of AI Driving Capability
Amir Rafe, Subasish Das
Road traffic crashes claim approximately 1.19 million lives annually worldwide, and human error accounts for the vast majority, yet the autonomous vehicle acceptance literature mod…
Characterizing and Predicting Wildfire Evacuation Behavior: A Dual-Stage ML Approach
Sazzad Bin Bashar Polock, Anandi Dutta, Subasish Das
Wildfire evacuation behavior is highly variable and influenced by complex interactions among household resources, preparedness, and situational cues. Using a large-scale MTurk surv…