Ren Moses

Area of research

Safety, Risk, Reliability and Quality · Building and Construction

Research interest

Research topics from publications: Exact and heuristic solution algorithms for efficient emergency evacuation in areas with vulnerable populations; Development of statistical models for improving efficiency of emergency evacuation in areas with vulnerable population; Multiobjective Optimization Model for Emergency Evacuation Planning in Geographical Locations with Vulnerable Population Groups; Prediction of vehicle occupants injury at signalized intersections using real-time traffic and signal data; Assessing perceived driving difficulties under emergency evacuation for vulnerable population groups; A Comprehensive Assessment of the Existing Accident and Hazard Prediction Models for the Highway-Rail Grade Crossings in the State of Florida; Development of Safety Performance Functions for Restricted Crossing U-Turn Intersections; Assessment of traffic performance measures and safety based on driver age and experience: A microsimulation based analysis for an unsignalized T-intersection; Turning Features Detection from Aerial Images: Model Development and Application on Florida’s Public Roadways; Automated Geographic-Information-System-Based Framework for Detecting Crosswalk Changes from Bi-Temporal High-Resolution Aerial Images. Representative work: A large-scale emergency evacuation due to an approaching natural disaster requires local and state administrations to make important decisions regarding evacuation routes, emergency shelters, and evacuation time periods, among other things. Considering a conflicting nature of certain emergency evacuation planning decisions, this study introduces a multiobjective optimization model for emergency evacuation planning that aims to minimize a set of critical performance indicators, including the total evacuation time, mental demand, physical demand, temporal demand, effort, and frustration endured by the individuals evacuating from a given metropolitan area anticipating a natural disaster. The ma Accidents at highway-rail grade crossings can cause fatalities and injuries, as well as significant property damages. In order to prevent accidents, certain upgrades need to be made at highway-rail grade crossings. However, due to limited monetary resources, only the most hazardous highway-rail grade crossings should receive a priority for upgrading. Hence, accident/hazard prediction models are required to identify the most haza

Looking for a research collaborator?

Search millions of scientists by field, institution, impact, and funding status — see their work, find their email, and reach out directly.