Title :
Argos: An Advanced In-Vehicle Data Recorder on a Massively Sensorized Vehicle for Car Driver Behavior Experimentation
Author :
Perez, A. ; Garcia, M.I. ; Nieto, Manuel ; Pedraza, José L. ; Rodriguez, Saul ; Zamorano, Juan
Author_Institution :
Dept. of Comput. Syst. Archit. & Technol., Tech. Univ. of Madrid, Madrid, Spain
fDate :
6/1/2010 12:00:00 AM
Abstract :
A crucial factor in traffic safety is driver behavior. A better understanding of driver actions will help in determining the most common reasons for car accidents. Therefore, research in this field helps to reduce accidents due to driver distraction. This paper presents Argos, which is a complex and powerfully computerized car to help researchers in the study of car driver behavior. The Argos system is an improved in-vehicle data recorder (IVDR) that allows recording many kinds of alphanumerical data such as the speed (vehicle data), the point of gaze (driver data), or the current distance to lateral road marks (environmental data). In addition, Argos can record up to nine simultaneous video images which are synchronized with the alphanumerical data. Argos can also generate and record different kinds of in-car light and audio stimuli, allowing an experiment supervisor to interact or to schedule specific actions to take place during an experiment.
Keywords :
automated highways; behavioural sciences computing; road safety; Argos; IVDR; alphanumerical data; audio stimuli; car driver behavior experimentation; environmental data; incar light; invehicle data recorder; massively sensorized vehicle; traffic safety; Advanced Driver-Assistance Systems (ADAS); Advanced Vehicle Control and Safety Systems (AVCSS); driver behavior; feedback; in-vehicle data recorder (IVDR);
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
DOI :
10.1109/TITS.2010.2046323