The driver assistance system part of the cognitive vehicle design can prevent rear, lateral and other collisions by using a collision warning system that integrates intelligent technology and human factors. To be effective, such a system should be able to analyse driving states including driver distraction and driver intent, assess the likelihood of collisions by working with surrogate safety measures and issue warnings to the driver. This study presents a longitudinal and lateral collision warning model that allows the inclusion of key surrogate safety measures such as distance between vehicles in longitudinal vehicle-following mode or envelopes of vehicles in the lateral direction during lane migration/change/merge movements. The model can take into account values of driver distraction and driver intent variables obtained on-line or from off-line devices. The formulation is also applicable to time-to-crash surrogate safety measure. A pattern recognition method is used for the identification of pre-crash condition while minimising false alarms. The surrogate safety model is presented and illustrative examples are provided. The surrogate safety measure-based warning system is mainly intended for on-line use in actual driving conditions. In addition, it can be used in driving simulators or for off-line safety studies in association with microsimulators of traffic.
Surrogate safety measures as aid to driver assistance system design of the cognitive vehicle
IET Intelligent Transport Systems ; 8 , 4 ; 415-424
2014-06-01
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
intelligent technology , human factors , driver intent variables , collision warning system , road safety , road vehicles , cognitive vehicle design , driver assistance system design , driver intent , surrogate safety measurement , traffic engineering computing , lateral direction , pattern recognition method , cognition , driver distraction
Metadata by IET is licensed under CC BY 3.0
Surrogate safety measures as aid to driver assistance system design of the cognitive vehicle
Wiley | 2014
|Driver assistance system for vehicle, vehicle and driver assistance method
Europäisches Patentamt | 2022
|