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Time-varying Analysis of Traffic Conflicts at the Upstream Approach of Toll Plaza
Real-time safety analysis for expressways considering the heterogeneity of different segment types
Predicting real-time traffic conflicts using deep learning
Multi-vehicle safety functions for freeway weaving segments using lane-level traffic data
Multivariate crash modeling for motor vehicle and non-motorized modes at the macroscopic level
Macroscopic spatial analysis of pedestrian and bicycle crashes
Investigation of road network features and safety performance
Investigating the different characteristics of weekday and weekend crashes
Intersection crash prediction modeling with macro-level data from various geographic units
Identifying crash propensity using specific traffic speed conditions
Exploring the overall and specific crash severity levels at signalized intersections
Examining traffic conflicts of up stream toll plaza area using vehicles’ trajectory data
Evaluation of variable speed limits for real-time freeway safety improvement
Crash data analysis: Collective vs. individual crash level approach
Comparative analysis of zonal systems for macro-level crash modeling
Changes in traffic crash patterns: Before and after the outbreak of COVID-19 in Florida
Assessment of freeway traffic parameters leading to lane-change related collisions
A novel approach for analyzing severe crash patterns on multilane highways
Analysis and prediction of intersection traffic violations using automated enforcement system data
A hybrid machine learning model for predicting Real-Time secondary crash likelihood
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning