26 citations · 65 across the 10 of their papers we have counts for
12 papers
Predicting Real-time Crash Risks during Hurricane Evacuation Using Connected Vehicle Data
Zaheen E Muktadi Syed, Samiul Hasan
Hurricane evacuation, ordered to save lives of people of coastal regions, generates high traffic demand with increased crash risk. To mitigate such risk, transportation agencies ne…
A Generalized Accelerated Failure Time Model to Predict Restoration Time from Power Outages
Tasnuba Binte Jamal, Samiul Hasan
Major disasters such as wildfire, tornado, hurricane, tropical storm, flooding cause disruptions in infrastructure systems such as power outage, disruption to water supply system,…
Understanding the Loss in Community Resilience due to Hurricanes using Facebook Data
Tasnuba Binte Jamal, Samiul Hasan
Significant negative impacts are observed in productivity, economy, and social wellbeing because of the reduced human activity due to extreme events. Community resilience is an imp…
Investigating the Spatiotemporal Charging Demand and Travel Behavior of Electric Vehicles Using GPS Data: A Machine Learning Approach
Sina Baghali, Zhaomiao Guo, Samiul Hasan
The increasing market penetration of electric vehicles (EVs) may change the travel behavior of drivers and pose a significant electricity demand on the power system. Since the elec…
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…
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…