This paper presents an Artificial Intelligence (AI)-based approach to train localization through the detection of
railway infrastructure objects using convolutional neural networks. The proposed system identifies key visual landmarks such as traffic lights, level crossings, tunnels, bridges, and passenger platforms directly from live video streams captured by onboard cameras during train operation. This enables... more

This paper examines the sentiments and opinions of e-scooter riders in Windsor, Ontario, highlighting key issues and concerns they have expressed. It involved text mining of feedback collected over a six-month pilot program (May to October 2021) using dictionary-based analysis. Analysis of monthly word frequencies in rider feedback revealed fluctuations, with June, July, and August... more

Vehicular crashes are historically a major cause of unintentional death in the United States. The empirical literature on safe transportation is rich with research on how human behavior results in lethal vehicular crash outcomes.
Given the stubborn persistence in such outcomes, public policy that may contribute to unintentional deaths is worthy of scrutiny. Annual... more

The expansion of urban populations necessitates improvements in construction and the development of urban infrastructure. The creation of subway tunnels in urban centers has consistently faced considerable challenges and constraints. This study specifically focuses on one such issue: the intersection of subway lines with existing railway lines. The main aim of this research is to... more