3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.AI2024★ 1 cited
NLP-enabled Trajectory Map-matching in Urban Road Networks using a Transformer-based Encoder-decoder
Sevin Mohammadi, Andrew W. Smyth
Vehicular trajectory data from geolocation telematics is vital for analyzing urban mobility patterns. Map-matching aligns noisy, sparsely sampled GPS trajectories with digital road…
cs.CY2021★ 3 cited
Big Data Generated by Connected and Automated Vehicles for Safety Monitoring, Assessment and Improvement, Final Report (Year 3)
Asad J. Khattak, Iman Mahdinia, Sevin Mohammadi +2
This report focuses on safety aspects of connected and automated vehicles (CAVs). The fundamental question to be answered is how can CAVs improve road users' safety? Using advanced…