Traffic and Road Safety

Traffic and road safety research examines why crashes happen, how severely people are injured, and what conditions make roads more or less dangerous for drivers, cyclists, and pedestrians. By combining behavioral data, crash records, and spatial analysis, engineers and researchers build predictive models that can identify high-risk locations and population groups before accidents occur rather than simply cataloguing them afterward. Despite steady methodological advances, accurately accounting for the role of human decision-making—distraction, fatigue, risk tolerance—within these quantitative frameworks remains an open challenge. A related frontier involves integrating real-time traffic flow data and emerging vehicle technologies to understand how congestion patterns and automated systems reshape the risk landscape.

Works

95,581

Total citations

978,271

Keywords

Traffic AccidentsDriver BehaviorInjury SeverityRoad SafetyPedestrian SafetyCrash Prediction Models