Objetivo Microscopic traffic simulation tools which replicate individual driver decisions and combine them to deduce network conditions are popular tools for evaluating transport planning and management options. An essential component of such tools is a set of mathematical models of driver behaviour, including but not limited to longitudinal movement models, lateral movement models, and route choice models.Driving behaviour is an inherently complex process, with driving decisions being affected by various factors, including network topography, traffic conditions, path-plan of the driver, features of the vehicle and characteristics of the driver. The existing driving behaviour models address many of these factors, either fully or partially. However, the existing models tend to overlook the effect of driver characteristics on the decision framework and ignore the underlying heterogeneity in decision making of different drivers as well as the same driver in different contexts. The behavioural predictions from such models are bound to contain significant noise and implementation of models in traffic micro-simulation tools can lead to unrealistic traffic flow characteristics and incorrect representation of congestion.In this research, we propose to develop dynamic driving behaviour models that explicitly account for the effects of driver characteristics in his/her decisions alongside the effects of path-plan, network topography and traffic conditions. The models will be calibrated by combining experimental data collected from the University of Leeds Driving Simulator (UoLDS) and actual traffic data collected using video recordings.The developed models will have the potential to significantly improve prediction capabilities of microscopic traffic simulators and contribute to better transport planning and management. Ámbito científico natural sciencesphysical sciencesastronomyplanetary sciencesplanetary geologysocial sciencessocial geographytransporttransport planningnatural sciencescomputer and information sciencessoftwaresoftware applicationssimulation softwarenatural sciencesmathematicsapplied mathematicsmathematical model Programa(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Tema(s) FP7-PEOPLE-2013-CIG - Marie-Curie Action: "Career Integration Grants" Convocatoria de propuestas FP7-PEOPLE-2013-CIG Consulte otros proyectos de esta convocatoria Régimen de financiación MC-CIG - Support for training and career development of researcher (CIG) Coordinador UNIVERSITY OF LEEDS Aportación de la UE € 100 000,00 Dirección WOODHOUSE LANE LS2 9JT Leeds Reino Unido Ver en el mapa Región Yorkshire and the Humber West Yorkshire Leeds Tipo de actividad Higher or Secondary Education Establishments Contacto administrativo Benjamin Williams (Mr.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos