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Comparison of two simulation methods for testing of algorithms to detect cyclist and pedestrian accidents in naturalistic data

Madsen, Tanja; Christensen, Mads; Sloth Andersen, Camilla; Varhelyi, Andras LU ; Laureshyn, Aliaksei LU ; Moeslund, Thomas and Lahrmann, Harry (2017) 6th International Naturalistic Driving Research Symposium, the Hague, the Netherlands, 8-9 June 2017
Abstract (Swedish)
Naturalistic studies can potentially be used to detect accidents of vulnerable road users and thus overcome the large degree of under-reporting in the official accident records. In this study, simulated cycling and walking accidents were performed by a stuntman and with a crash test dummy to test how they differ from each other and the potential implications of using simulated accidents as an alternative to real accidents. The study consisted of simulations of common accident types for cyclists and pedestrians, such as tripping over a curb or falling of the bike after hitting an obstacle. Motion data in terms of acceleration and rotation as well as the state of the screen (turned on/off) was collected via an Android smartphone to use as... (More)
Naturalistic studies can potentially be used to detect accidents of vulnerable road users and thus overcome the large degree of under-reporting in the official accident records. In this study, simulated cycling and walking accidents were performed by a stuntman and with a crash test dummy to test how they differ from each other and the potential implications of using simulated accidents as an alternative to real accidents. The study consisted of simulations of common accident types for cyclists and pedestrians, such as tripping over a curb or falling of the bike after hitting an obstacle. Motion data in terms of acceleration and rotation as well as the state of the screen (turned on/off) was collected via an Android smartphone to use as indicators for the motion patterns during accidents. The results show that dummy data have a distinct peak at the moment of the fall as a result of not being able to break the fall. As opposed to this, the stuntman arranges himself in a way to reduce the impact when hitting the ground. In real accidents, motion patterns will probably lie in-between these two types. (Less)
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author
organization
alternative title
Jämförelse av två simuleringsmetoder för test av algoritmer för att upptäcka cyklist- och fotgängarolyckor i naturaistisk data
publishing date
type
Contribution to conference
publication status
published
subject
pages
6 pages
conference name
6th International Naturalistic Driving Research Symposium, the Hague, the Netherlands, 8-9 June 2017
conference location
Haague, Netherlands
conference dates
2017-06-08 - 2018-06-09
language
English
LU publication?
yes
id
f1470d95-32bd-45f4-81d5-464cbf60d9e2
date added to LUP
2018-03-09 14:32:39
date last changed
2018-11-21 21:38:35
@misc{f1470d95-32bd-45f4-81d5-464cbf60d9e2,
  abstract     = {Naturalistic studies can potentially be used to detect accidents of vulnerable road users and thus overcome the large degree of under-reporting in the official accident records. In this study, simulated cycling and walking accidents were performed by a stuntman and with a crash test dummy to test how they differ from each other and the potential implications of using simulated accidents as an alternative to real accidents. The study consisted of simulations of common accident types for cyclists and pedestrians, such as tripping over a curb or falling of the bike after hitting an obstacle. Motion data in terms of acceleration and rotation as well as the state of the screen (turned on/off) was collected via an Android smartphone to use as indicators for the motion patterns during accidents. The results show that dummy data have a distinct peak at the moment of the fall as a result of not being able to break the fall. As opposed to this, the stuntman arranges himself in a way to reduce the impact when hitting the ground. In real accidents, motion patterns will probably lie in-between these two types.},
  author       = {Madsen, Tanja and Christensen, Mads and Sloth Andersen, Camilla and Varhelyi, Andras and Laureshyn, Aliaksei and Moeslund, Thomas and Lahrmann, Harry},
  language     = {eng},
  location     = {Haague, Netherlands},
  month        = {06},
  pages        = {6},
  title        = {Comparison of two simulation methods for testing of algorithms to detect cyclist and pedestrian accidents in naturalistic data},
  year         = {2017},
}