Sökning: WFRF:(Bornø Jensen Morten)
> (2017) >
Mobile Application ...
Mobile Application for Naturalistic Walking/Cycling Data Collection
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- Madsen, Tanja (författare)
- Aalborg University
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- Sloth Andersen, Camilla (författare)
- Aalborg University
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- Varhelyi, Andras (författare)
- Lund University,Lunds universitet,Trafik och väg,Institutionen för teknik och samhälle,Institutioner vid LTH,Lunds Tekniska Högskola,Transport and Roads,Department of Technology and Society,Departments at LTH,Faculty of Engineering, LTH
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- Nilsson, Mikael (författare)
- Lund University,Lunds universitet,Mathematical Imaging Group,Forskargrupper vid Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Lund University Research Groups,Mathematics (Faculty of Engineering),Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH
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- Oskarsson, Magnus (författare)
- Lund University,Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Mathematics (Faculty of Engineering),Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH
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- Bornø Jensen, Morten (författare)
- Aalborg University
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- Holmberg Bahnsen, Chris (författare)
- Aalborg University
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- Bock Christensen, Mads (författare)
- Aalborg University
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- Moeslund, Thomas (författare)
- Aalborg University
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(creator_code:org_t)
- 2017
- Engelska 21 s.
- Relaterad länk:
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Abstract
Ämnesord
Stäng
- 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.
Nyckelord
- Mibile app
- Traffic accidents
- Vulnerable road users
- pedestrian
- cyclists
- naturalistic study
Publikations- och innehållstyp
- rap (ämneskategori)
- vet (ämneskategori)