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The usage of smartphones for recording accidents and incidents from the critical situation up to the post crash phase

  • The changed focus in vehicle safety technology from secondary to primary safety systems need to evolve new methods to investigate accidents, high critical, critical and normal driving situations. Current Naturalistic Driving Studies mostly use vehicles that are highly equipped with additional measuring devices, video cameras, recording technology, and sensors. These equipped fleets are very expensive regarding the setup and administration of the study. Due to the great rarity of crashes it is additionally necessary to have a high distribution and a homogeneous distribution of subject groups. At the end all these facts are leading to a very expensive study with a manageable number of data. Smartphones are becoming more and more popular not only for younger people. Contrary to traditional mobile phones they are mostly equipped with sensors for acceleration and yaw rates, GPS modules as well as cameras in high definition resolution. Additionally they have high-performance processors that enable the execution of CPU-intensive tools directly on the phone. The wide distribution of these smartphones enables researchers to get high numbers of users for such studies. The paper shows and demonstrates a software app for smartphones that is able to record different driving situations up to crashes. Therefore all relevant parameter from the sensors, camera and GPS device are saved for a given duration if the event was triggered. The complete configuration is independently adjustable to the relevant driver and all events were sent automatically to the research institute for a further process. Direct after the event, interviews with the driver can be done and important data regarding the event itself are documented. The presentation shows the methodology and gives a demonstration of the working progress as well as first results and examples of the current study. In the discussion the advantages of this method will be discussed and compared with the disadvantages. The paper shows an alternative method to investigate real accident and incident data. This method is thereby highly cost efficient and comparable with existing methods for benefit estimation.

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Metadaten
Author:Lars Hannawald, Henrik Liers, Cäcilia von Lienen
URN:urn:nbn:de:hbz:opus-bast-13557
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2015/07/30
Year of first publication:2015
Contributing corporation:Verkehrsunfallforschung an der Technischen Universität Dresden GmbH
Release Date:2015/07/30
Tag:Aufzeichnung; Beinahe Unfall; Datenerfassung; Datenübertragung (Telekom); Detektion; Fahrer; Interview; Kamera; Sensor; Software; Unfall; Verhalten
Accident; Behaviour; Camera; Data acquisition; Data transmission (telecom); Detection; Driver; Interview; Near miss; Recording; Sensor; Software
Source:6th International Conference on ESAR 2014
Institutes:Sonstige / Sonstige
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
collections:BASt-Beiträge / ITRD Sachgebiete / 82 Unfall und Verkehrsinfrastruktur
BASt-Beiträge / ITRD Sachgebiete / 83 Unfall und Mensch
BASt-Beiträge / Tagungen / International Conference on ESAR / 6th International Conference on ESAR
Licence (German):License LogoBASt

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