Application of Global Positioning System and questionnaires data for the study of driver behavior on two-lane rural roads

Methodologies based on naturalistic observation provide the most accurate data for studying drivers' behaviour. This study presents a new methodology to obtain naturalistic data related to drivers' behaviour in a road segment. It is based on the combination of using global position...

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Detalles Bibliográficos
Autores: Pérez Zuriaga, Ana María|||0000-0002-8434-1106, Camacho-Torregrosa, Francisco Javier|||0000-0001-6523-7824, Campoy Ungria, Jose Manuel, García García, Alfredo|||0000-0003-1345-3685
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/47177
Acceso en línea:https://riunet.upv.es/handle/10251/47177
Access Level:acceso abierto
Palabra clave:INGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTES
INGENIERIA DEL TERRENO
Descripción
Sumario:Methodologies based on naturalistic observation provide the most accurate data for studying drivers' behaviour. This study presents a new methodology to obtain naturalistic data related to drivers' behaviour in a road segment. It is based on the combination of using global positioning system data and drivers' questionnaires. The continuous speed profiles along a road segment and the characteristics of drivers, of their trips and the type of their vehicles can be obtained for a great amount of drivers. It has already been successfully used for several studies, such as the development of models to estimate operating speed profile in two-lane rural road segments; or the characterisation of driving styles. These operating speed models have been the key for the development of a new geometric design consistency model, allowing an easier road safety evaluation. Besides, knowledge on the human factors that influence speed choice may be useful for road safety media campaigns and education programs designers, and also for the improvement of intelligent driver assistance systems.