Resumé

Accident data from official records such as police reports or emergency room data is affected by a large degree of underreporting, particularly for vulnerable road users. Naturalistic data collected automatically from the road users can be a means to overcome this problem. The large amount of collected data, however, necessitates the use of technology to facilitate data processing and analysis. This manual describes the three smartphone apps developed with the aim of getting more insight and knowledge in accidents among vulnerable road users based on naturalistic data. The apps and source codes are available via https://bitbucket.org/aauvap/vrumonitorapp/.

The VRUMonitor app was developed to detect accidents based on an analysis of the motion data of the phone. The underlying idea is that abnormal motion occurs in the event of an accident and that this motion differs from everyday activities. Due to the fact that different smartphones contain different motion sensors it is a complex task to make a fully functional system across all smartphone brands and models. Therefore, it has not yet been tested on a larger scale. In addition, the SafeVRU app was developed for self-reporting of accidents and near-accidents and has been used by more than 400 participants.
OriginalsprogEngelsk
ForlagEuropean Commission * Office for Official Publications of the European Union
Antal sider18
StatusUdgivet - 2018

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Accidents
Application programs
Smartphones
Emergency rooms
Law enforcement
Sensors

Emneord

  • Naturalistic VRU
  • Tools
  • Manual

Citer dette

Madsen, T. K. O., Agerholm, N., Várhelyi, A., Bahnsen, C. H., Jensen, M. B., Laureshyn, A., ... Lahrmann, H. S. (2018). Tools for Naturalistic VRU Study - Hands-on Manual. European Commission * Office for Official Publications of the European Union.
Madsen, Tanja Kidholm Osmann ; Agerholm, Niels ; Várhelyi, András ; Bahnsen, Chris Holmberg ; Jensen, Morten Bornø ; Laureshyn, Aliaksei ; Moeslund, Thomas B. ; Lahrmann, Harry Spaabæk. / Tools for Naturalistic VRU Study - Hands-on Manual. European Commission * Office for Official Publications of the European Union, 2018. 18 s.
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Madsen, TKO, Agerholm, N, Várhelyi, A, Bahnsen, CH, Jensen, MB, Laureshyn, A, Moeslund, TB & Lahrmann, HS 2018, Tools for Naturalistic VRU Study - Hands-on Manual. European Commission * Office for Official Publications of the European Union.

Tools for Naturalistic VRU Study - Hands-on Manual. / Madsen, Tanja Kidholm Osmann; Agerholm, Niels; Várhelyi, András; Bahnsen, Chris Holmberg; Jensen, Morten Bornø; Laureshyn, Aliaksei; Moeslund, Thomas B.; Lahrmann, Harry Spaabæk.

European Commission * Office for Official Publications of the European Union, 2018. 18 s.

Publikation: Bog/antologi/afhandling/rapportRapportForskning

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AU - Várhelyi, András

AU - Bahnsen, Chris Holmberg

AU - Jensen, Morten Bornø

AU - Laureshyn, Aliaksei

AU - Moeslund, Thomas B.

AU - Lahrmann, Harry Spaabæk

PY - 2018

Y1 - 2018

N2 - Accident data from official records such as police reports or emergency room data is affected by a large degree of underreporting, particularly for vulnerable road users. Naturalistic data collected automatically from the road users can be a means to overcome this problem. The large amount of collected data, however, necessitates the use of technology to facilitate data processing and analysis. This manual describes the three smartphone apps developed with the aim of getting more insight and knowledge in accidents among vulnerable road users based on naturalistic data. The apps and source codes are available via https://bitbucket.org/aauvap/vrumonitorapp/.The VRUMonitor app was developed to detect accidents based on an analysis of the motion data of the phone. The underlying idea is that abnormal motion occurs in the event of an accident and that this motion differs from everyday activities. Due to the fact that different smartphones contain different motion sensors it is a complex task to make a fully functional system across all smartphone brands and models. Therefore, it has not yet been tested on a larger scale. In addition, the SafeVRU app was developed for self-reporting of accidents and near-accidents and has been used by more than 400 participants.

AB - Accident data from official records such as police reports or emergency room data is affected by a large degree of underreporting, particularly for vulnerable road users. Naturalistic data collected automatically from the road users can be a means to overcome this problem. The large amount of collected data, however, necessitates the use of technology to facilitate data processing and analysis. This manual describes the three smartphone apps developed with the aim of getting more insight and knowledge in accidents among vulnerable road users based on naturalistic data. The apps and source codes are available via https://bitbucket.org/aauvap/vrumonitorapp/.The VRUMonitor app was developed to detect accidents based on an analysis of the motion data of the phone. The underlying idea is that abnormal motion occurs in the event of an accident and that this motion differs from everyday activities. Due to the fact that different smartphones contain different motion sensors it is a complex task to make a fully functional system across all smartphone brands and models. Therefore, it has not yet been tested on a larger scale. In addition, the SafeVRU app was developed for self-reporting of accidents and near-accidents and has been used by more than 400 participants.

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Madsen TKO, Agerholm N, Várhelyi A, Bahnsen CH, Jensen MB, Laureshyn A et al. Tools for Naturalistic VRU Study - Hands-on Manual. European Commission * Office for Official Publications of the European Union, 2018. 18 s.