3 papers
cs.CL2024
Transit Pulse: Utilizing Social Media as a Source for Customer Feedback and Information Extraction with Large Language Model
Jiahao Wang, Amer Shalaby
Users of the transit system flood social networks daily with messages that contain valuable insights crucial for improving service quality. These posts help transit agencies quickl…
cs.LG2024
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership
Jiahao Wang, Amer Shalaby
Accurate prediction of public transit ridership is vital for efficient planning and management of transit in rapidly growing urban areas in Canada. Unexpected increases in passenge…
cs.SI2024
Leveraging Large Language Models for Enhancing Public Transit Services
Jiahao Wang, Amer Shalaby
Public transit systems play a crucial role in providing efficient and sustainable transportation options in urban areas. However, these systems face various challenges in meeting c…