Author

S. Gandupalli

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Conference Open access 2026

Predicting Pedestrian Crossing Behavior at Urban Intersections Using Machine Learning Techniques : Evidence from Hyderabad, India

Investigating pedestrian crossing behavior using machine learning techniques at five major intersections in Hyderabad, India shows that machine learning models effectively predict pedestrian crossing behavior under diverse urban traffic conditions and provides valuable insights into pedestrian decision-making.

Praveen Samarthi, S. Gandupalli, Abhishek Jindal et al. · EPJ Web of Conferences · 0 citations

Conference Open access 2026

Determining Risk Factors for Vulnerable Road User Crashes: Integrating GIS and Binary Logistic Regression in a Medium-sized City of a Developing Nation

The population increase in urban areas leads to heightened vehicle usage, resulting in more interactions among vehicles, pedestrians, and bicyclists, thereby raising substantial road safety issues. Infrastructure must be appropriately constructed for both motorized and non-motorized vehicles to mitigate safety problems...

S. Gandupalli, Purnanandam Kokkeragadda, M. Dangeti et al. · EPJ Web of Conferences · 0 citations