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Mobile Application for Naturalistic Walking/Cycling Data Collection

Madsen, Tanja ; Sloth Andersen, Camilla ; Varhelyi, Andras LU ; Nilsson, Mikael LU ; Oskarsson, Magnus LU orcid ; Bornø Jensen, Morten ; Holmberg Bahnsen, Chris ; Bock Christensen, Mads and Moeslund, Thomas (2017)
Abstract
Two smartphone applications were developed with the aim of harvesting insights of vulnerable road user accidents. The apps require a backend database with software tools for generating and managing questionnaires, etc. Such a system was developed using a MySQL database where a user-friendly platform has been developed in CakePHP. The backend system has been successfully developed and been used to handle more than 11,000 participants. The original idea was to monitor VRU via apps to detect when they may have been involved in an accident as pedestrian or cyclist based on the motion patterns from the smartphone’s motion sensors (accelerometer, gyroscope) and collect as much information as possible regarding the accident automatically (e.g.... (More)
Two smartphone applications were developed with the aim of harvesting insights of vulnerable road user accidents. The apps require a backend database with software tools for generating and managing questionnaires, etc. Such a system was developed using a MySQL database where a user-friendly platform has been developed in CakePHP. The backend system has been successfully developed and been used to handle more than 11,000 participants. The original idea was to monitor VRU via apps to detect when they may have been involved in an accident as pedestrian or cyclist based on the motion patterns from the smartphone’s motion sensors (accelerometer, gyroscope) and collect as much information as possible regarding the accident automatically (e.g. time and location of the accident). If an accident was detected, the road user should receive a questionnaire to provide detailed information of the accident (e.g. road surface conditions, lighting conditions, other road users involved). This app was used by more than 400 participants resulting in a large amount of data. (Less)
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author
; ; ; ; ; ; ; and
organization
alternative title
Smartphone app för naturalistik gående/cyklande datainsamling
publishing date
type
Book/Report
publication status
published
subject
keywords
Mibile app, Traffic accidents, Vulnerable road users, pedestrian, cyclists, naturalistic study
pages
21 pages
publisher
InDeV consortium
language
English
LU publication?
yes
id
4ea5965c-9d07-4cb2-b3be-b9b49a44a6f9
date added to LUP
2018-03-08 14:49:32
date last changed
2025-04-04 15:00:38
@techreport{4ea5965c-9d07-4cb2-b3be-b9b49a44a6f9,
  abstract     = {{Two smartphone applications were developed with the aim of harvesting insights of vulnerable road user accidents. The apps require a backend database with software tools for generating and managing questionnaires, etc. Such a system was developed using a MySQL database where a user-friendly platform has been developed in CakePHP. The backend system has been successfully developed and been used to handle more than 11,000 participants. The original idea was to monitor VRU via apps to detect when they may have been involved in an accident as pedestrian or cyclist based on the motion patterns from the smartphone’s motion sensors (accelerometer, gyroscope) and collect as much information as possible regarding the accident automatically (e.g. time and location of the accident). If an accident was detected, the road user should receive a questionnaire to provide detailed information of the accident (e.g. road surface conditions, lighting conditions, other road users involved). This app was used by more than 400 participants resulting in a large amount of data.}},
  author       = {{Madsen, Tanja and Sloth Andersen, Camilla and Varhelyi, Andras and Nilsson, Mikael and Oskarsson, Magnus and Bornø Jensen, Morten and Holmberg Bahnsen, Chris and Bock Christensen, Mads and Moeslund, Thomas}},
  institution  = {{InDeV consortium}},
  keywords     = {{Mibile app; Traffic accidents; Vulnerable road users; pedestrian; cyclists; naturalistic study}},
  language     = {{eng}},
  month        = {{10}},
  title        = {{Mobile Application for Naturalistic Walking/Cycling Data Collection}},
  url          = {{https://lup.lub.lu.se/search/files/39613086/InDeV_D4_5_Mobile_app_for_NAturalistic_walking_cycling.pdf}},
  year         = {{2017}},
}