Privacy-Preserving Adaptive Trajectory Storage on Blockchain for COVID-19 Contact Tracing
Impact of Social Media on Travel Behaviors during the COVID-19 Pandemic: Evidence from New York City
Applying Bayesian Optimization for Calibration of Transportation Simulation Models
Dynamic Origin–Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter
Development of Online Scalable Approach for Identifying Secondary Crashes
Estimating Uncertainty of Work Zone Capacity using Neural Network Models
Extracting Horizontal Curvature Data from GIS Maps: Clustering Method
Value of Schedule Delays by Time of Day
Use of Deep Learning to Predict Daily Usage of Bike Sharing Systems
Exploring the Spatial Dependence and Selection Bias of Double Parking Citations Data
Crowdsourcing Incident Information for Emergency Response using Open Data Sources in Smart Cities