4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Network Wide Evacuation Traffic Prediction in a Rapidly Intensifying Hurricane from Traffic Detectors and Facebook Movement Data: A Deep Learning Approach
Md Mobasshir Rashid, Rezaur Rahman, Samiul Hasan
Traffic prediction during hurricane evacuation is essential for optimizing the use of transportation infrastructures. It can reduce evacuation time by providing information on futu…
cs.LG2022★ 4 cited
A Deep Learning Approach for Network-wide Dynamic Traffic Prediction during Hurricane Evacuation
Rezaur Rahman, Samiul Hasan
Proactive evacuation traffic management largely depends on real-time monitoring and prediction of traffic flow at a high spatiotemporal resolution. However, evacuation traffic pred…
cs.LG2022★ 2 cited
Data-Driven Traffic Assignment: A Novel Approach for Learning Traffic Flow Patterns Using a Graph Convolutional Neural Network
Rezaur Rahman, Samiul Hasan
We present a novel data-driven approach of learning traffic flow patterns of a transportation network given that many instances of origin to destination (OD) travel demand and link…