John Hourdos

The retrieval of intra-day trend and its influence on traffic prediction

A Review of Machine Learning and IoT in Smart Transportation

Analytic methods in accident research: Methodological frontier and future directions

A real-time autonomous highway accident detection model based on big data processing and computational intelligence

Predicting crash likelihood and severity on freeways with real-time loop detector data

Traffic Flow Prediction With Big Data: A Deep Learning Approach

A tensor-based method for missing traffic data completion

Real-Time Detection of Crash-Prone Conditions at Freeway High-Crash Locations

Probe vehicle based real-time traffic monitoring on urban roadways

Preprocessing Volume Input Data for Improved Traffic Simulation

Real-Time Detection of Crash-Prone Conditions at Freeway High-Crash Locations