Madsen et al 2017a - Revision history

Scipediacontent at 08:48, 23 October 2020

2020-10-23T08:48:45Z

Scipediacontent: Scipediacontent moved page Draft Content 956823220 to Madsen et al 2017a

2020-10-22T13:34:56Z

Scipediacontent moved page Draft Content 956823220 to Madsen et al 2017a

Scipediacontent: Created page with " == Abstract == Two smartphone applications were developed with the aim of harvesting insights of vulnerable road user accidents. The apps require a backend database with sof..."

2020-10-22T13:34:53Z

Created page with " == Abstract == Two smartphone applications were developed with the aim of harvesting insights of vulnerable road user accidents. The apps require a backend database with sof..."

New page

== 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 smartphones 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.

Document type: Report

== Full document ==
<pdf>Media:Draft_Content_956823220-beopen9-4271-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [https://lup.lub.lu.se/record/4ea5965c-9d07-4cb2-b3be-b9b49a44a6f9 https://lup.lub.lu.se/record/4ea5965c-9d07-4cb2-b3be-b9b49a44a6f9],[https://portal.research.lu.se/ws/files/39613086/InDeV_D4_5_Mobile_app_for_NAturalistic_walking_cycling.pdf https://portal.research.lu.se/ws/files/39613086/InDeV_D4_5_Mobile_app_for_NAturalistic_walking_cycling.pdf]

@@ Line 2: / Line 2: @@
 == 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 smartphones 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.
+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.
 Document type: Report

← Older revision	Revision as of 13:34, 22 October 2020
(No difference)