Estimating Pedestrian Densities, Wait Times, and Flows with Wi-Fi and Bluetooth Sensors
Using Big Data to Study Resilience of Taxi and Subway Trips for Hurricanes Sandy and Irene
Applying Bayesian Optimization for Calibration of Transportation Simulation Models
Dynamic Origin–Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter
Use of Deep Learning to Predict Daily Usage of Bike Sharing Systems
Development of Online Scalable Approach for Identifying Secondary Crashes
Exploring the Spatial Dependence and Selection Bias of Double Parking Citations Data
Estimating Uncertainty of Work Zone Capacity using Neural Network Models
Crowdsourcing Incident Information for Emergency Response using Open Data Sources in Smart Cities
Overall Impacts of Off-Hour Delivery Programs in New York City Metropolitan Area
Empirical Evacuation Response Curve during Hurricane Irene in Cape May County, New Jersey
Modeling Safety Impacts of Off-Hour Delivery Programs in Urban Areas
Use of Sensor Data to Identify Secondary Crashes on Freeways
Adaptive Learning in Bayesian Networks for Incident Duration Prediction
Impact of Social Media on Travel Behaviors during the COVID-19 Pandemic: Evidence from New York City