Mobile Application for Naturalistic Walking/Cycling Data Collection

Tanja Madsen, Camilla Sloth Andersen, Andras Varhelyi, Mikael Nilsson, Magnus Oskarsson, Morten Bornø Jensen, Chris Holmberg Bahnsen, Mads Bock Christensen, Thomas Moeslund

Research output: Book/ReportReportResearch

108 Downloads (Pure)

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.
Translated title of the contributionSmartphone app för naturalistik gående/cyklande datainsamling
Original languageEnglish
PublisherInDeV consortium
Commissioning bodyEuropean Commission
Number of pages21
Publication statusPublished - 2017 Oct 31

Subject classification (UKÄ)

  • Engineering and Technology

Fingerprint

Dive into the research topics of 'Mobile Application for Naturalistic Walking/Cycling Data Collection'. Together they form a unique fingerprint.

Cite this