collaborators

8 papers

stat.AP2025

Mode Choice Heterogeneity Among Zero-Vehicle Households: A Latent Class Cluster Approach

Nancy Kasamala, Arthur Mukwaya, Nana Kankam Gyimah +4

In transportation planning, Zero-Vehicle Households (ZVHs) are often treated as a uniform group with limited mobility options and assumed to rely heavily on walking or public trans…

cs.LG2025

A Prescriptive Framework for Determining Optimal Days for Short-Term Traffic Counts

Arthur Mukwaya, Nancy Kasamala, Nana Kankam Gyimah +5

The Federal Highway Administration (FHWA) mandates that state Departments of Transportation (DOTs) collect reliable Annual Average Daily Traffic (AADT) data. However, many U.S. DOT…

cs.CY2025

Harnessing ADAS for Pedestrian Safety: A Data-Driven Exploration of Fatality Reduction

Methusela Sulle, Judith Mwakalonge, Gurcan Comert +2

Pedestrian fatalities continue to rise in the United States, driven by factors such as human distraction, increased vehicle size, and complex traffic environments. Advanced Driver…

cs.LG2025

Unraveling Pedestrian Fatality Patterns: A Comparative Study with Explainable AI

Methusela Sulle, Judith Mwakalonge, Gurcan Comert +2

Road fatalities pose significant public safety and health challenges worldwide, with pedestrians being particularly vulnerable in vehicle-pedestrian crashes due to disparities in p…

cs.LG2025

Analyzing Factors Influencing Driver Willingness to Accept Advanced Driver Assistance Systems

Hannah Musau, Nana Kankam Gyimah, Judith Mwakalonge +2

Advanced Driver Assistance Systems (ADAS) enhance highway safety by improving environmental perception and reducing human errors. However, misconceptions, trust issues, and knowled…

cs.HC2025

Analysis of Distracted Pedestrians Crossing Behavior: An Immersive Virtual Reality Application

Methusela Sulle, Judith Mwakalonge, Gurcan Comert +4

Pedestrian safety is a critical public health priority, with pedestrian fatalities accounting for 18% of all U.S. traffic deaths in 2022. The rising prevalence of distracted walkin…