@article{ref1,
title="Using low-cost smartphone sensor data for locating crash risk spots in a road network",
journal="Transportation research procedia",
year="2016",
author="Aichinger, Claus and Nitsche, Philippe and Stütz, Rainer and Harnisch, Marko",
volume="14",
number="",
pages="2015-2024",
abstract="This paper investigates the use of smartphones in vehicle fleets for identifying high-risk locations in a road network, before a crash may have happened. A novel method is proposed on how to use smartphone GPS and motion sensor data to automatically recognize critical car driving situations and near-misses such as emergency braking, evasion manoeuvres or sudden driving speed changes. In the area of Vienna, Austria, approximately 200 hours of driving data were collected with a dedicated smartphone app, from about 100 drivers covering more than 8,000 km. Additionally, various near-miss manoeuvres were measured on a closed test track under controlled conditions. In post-processing, this data was analysed in terms of driver-specific thresholds for critical driving situations. <br><br>RESULTS show that by using this modelling approach, critical situations can be accurately identified and geographically located with smartphones. An interface to traffic management would allow near-miss information to be used along accident data in the improvement of safety and efficiency of a traffic system. A combination of the proposed method with digital maps enables future applications for traffic and fleet managers, such as a &quot;road safety hazard map&quot;.<p /> <p>Language: en</p>",
language="en",
issn="2352-1465",
doi="10.1016/j.trpro.2016.05.169",
url="http://dx.doi.org/10.1016/j.trpro.2016.05.169"
}