Assessing the color status and daylight chromaticity of road signs through machine learning approaches
Crash severity analysis of single-vehicle rollover crashes in Namibia: a mixed logit approach
Do mobile phone addiction, boredom proneness, and self-reported mindfulness predict pedestrian beliefs on distracted walking?
GIS-based identification and analysis of suitable evacuation areas and routes in flood-prone zones of Nakhon Si Thammarat municipality
Identification of road traffic crashes hotspots on an intercity expressway in India using geospatial techniques
Investigating two-wheelers risk factors for severe crashes using an interpretable machine learning approach and SHAP analysis
Modelling crash severity outcomes for low speed urban roads using back propagation - artificial neural network (BP - ANN) - a case study in Indian context
Paratransit service quality modeling reflecting users' perception-a case study in Dhaka, Bangladesh
Pedestrian delay models for compliant & non-compliant behaviour at signalized midblock crosswalks under mixed traffic conditions
Using geographically weighted logistic regression (GWLR) for pedestrian crash severity modeling: exploring spatially varying relationships with natural and built environment factors