Caracterización de Estilos de Conducción en Rutas Urbanas Predeterminadas Bajo Diversas Condiciones de Tráfico

Abstract

This study aims to characterize driving styles on predetermined urban routes under various traffic conditions, identifying environmental factors that influence driving behavior, collecting characteristic driving data and analyzing key parameters. To achieve this, OBD-II and GPS technologies are used to monitor essential parameters such as speed, RPM, acceleration and throttle position on four different routes, during periods of peak and moderate traffic. Additionally, data is collected at various time intervals to account for variations in traffic density and surrounding conditions. A threshold-based classification system is used to differentiate driving behaviors into normal, moderate and aggressive styles. The study reveals that traffic density, route type and intersections are the main environmental factors that affect driver behavior. In peak traffic conditions, drivers show conservative "stop-start" patterns, while in moderate traffic conditions, more aggressive accelerations and higher speeds are observed.