Mahyar Ghorbanzadeh

Area of research

Safety, Risk, Reliability and Quality · Transportation

Research interest

Research topics from publications: Prediction of vehicle occupants injury at signalized intersections using real-time traffic and signal data; Development of Safety Performance Functions for Restricted Crossing U-Turn Intersections; Automated Satellite-Based Assessment of Hurricane Impacts on Roadways; Spatiotemporal Analysis of Highway Traffic Patterns in Hurricane Irma Evacuation; Integrating Evacuation and Storm Surge Modeling Considering Potential Hurricane Tracks: The Case of Hurricane Irma in Southeast Florida; The Analysis of Spatial Patterns and Significant Factors Associated with Young-Driver-Involved Crashes in Florida; Older Adults’ concerns regarding Hurricane-Induced evacuations during COVID-19: Questionnaire findings. Representative work: Conventional intersection designs are known to be problematic and unreliable when handling the complexity associated with the heavy traffic volume and travel demand on today’s roadways. Alternative innovative and safer designs such as the restricted crossing U-turn (RCUT) intersection can address these complex problems. However, there is still a gap in the literature concerning the safety performance analysis of RCUT intersections. Consistent with this goal, a comprehensive search was performed to identify RCUTs in the US and collect the relevant data needed to create appropriate safety performance functions and crash modification factors/functions for RCUTs. As such, different safety perfor During extreme weather events, such as hurricanes, trees can cause significant challenges for the local communities with roadway closures or power outages. Local responders must act quickly with information regarding the extent and severity of hurricane damage to better manage recovery procedures following natural disasters. This article proposes an approach to automatically identify fallen trees on roadways using high-resolution satellite imagery before and after a hurricane. The approach detects fallen trees on roadways via a covoting strategy of three different algorithms and tailored dissimilarity scores. The proposed method does not rely on the large manually labeled satellite image dat

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