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2024 Vol.2 No.2

Open Access Article

AI-Based Train Localization Using Railway Infrastructure Object Detection

Vladimir A. Fedorov

November 2024: 1-11 DOI: 10.55121/tdr.v2i2.379

724 (Abstract) 548 (Download) PDF

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... more
Open Access Article

Deriving Knowledge from E-Scooter Riders’ Feedback at Pilot Study Stage: Case for a City in Ontario, Canada

Seun Daniel Oluwajana, Olubunmi Philip Oluwajana, Temitope Elizabeth Oguntelure, Crystal Mingyue Wang, Soha Saiyed

November 2024: 12-25 DOI: 10.55121/tdr.v2i2.301

444 (Abstract) 367 (Download) PDF

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 showing higher ... more
Open Access Article

Spatiotemporal Context for Vehicular Crash Fatalities Days Before and Days After Daylight Saving Time Transitions

Edmund Zolnik, Patrick Baxter

November 2024: 26-38 DOI: 10.55121/tdr.v2i2.310

687 (Abstract) 224 (Download) PDF

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 transitions to and from daylight ... more
Open Access Article

Dynamic Assessment of Tunnels Subjected to Moving Train Loads (Case Study: Tunnel of Tehran Subway Line 3)

Morteza Nasirivand Aghabagher, Farhad Samimi Namin

November 2024: 39-54 DOI: 10.55121/tdr.v2i2.252

487 (Abstract) 385 (Download) PDF

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 model the dynamic... more

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