This journal focuses on the application of advanced statistical and modeling techniques, particularly Extreme Value Theory (EVT), to analyze road safety and traffic conflicts. Research investigates methods for estimating crash frequency and severity, forecasting crash risks, and understanding the impact of vehicle behavior, including autonomous vehicles, on traffic safety. The scope includes developing novel modeling frameworks that incorporate factors like evasive actions, spatiotemporal variables, and road user interactions to improve the accuracy of safety predictions.
Traffic and Road SafetyUrban Transport and AccessibilityInjury Epidemiology and PreventionTraffic Prediction and Management TechniquesTraffic control and managementTransportation Planning and OptimizationAutomotive and Human Injury BiomechanicsAutonomous Vehicle Technology and SafetyDiverse Scientific and Economic StudiesHuman auditory perception and evaluation