Search: onr:"swepub:oai:research.chalmers.se:ba99c106-1e56-4cc3-acb8-1465f2d17963" >
On data security an...
On data security and analysis platforms for analysis of naturalistic driving data
-
- Bärgman, Jonas, 1972 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
-
Gellerman, Helena (author)
-
Kovaceva, Jordanka, 1980 (author)
-
show more...
-
Nisslert, Rasmus, 1978 (author)
-
- Selpi, Selpi, 1977 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
-
Steinmetz, Erik M, 1984 (author)
-
- Dozza, Marco, 1978 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
-
show less...
-
(creator_code:org_t)
- 2011
- 2011
- English.
-
In: Proceedings of the 8th European Congress and Exhibition on Intelligent Transport Systems and Services, June 2011, Lyon.
- Related links:
-
https://research.cha...
Abstract
Subject headings
Close
- Studies involving naturalistic driving data, of which Naturalistic Field Operational Tests (N-FOTs) are a subset, are becoming increasingly important for understanding the factors influencing accident causation as well as for the development and evaluation of active safety systems. The methodology project FESTA developed a handbook on how to plan and implement FOTs. This handbook has been extensively used as a guideline in the euroFOT project. However, “the devil is in the details” when implementing e.g. the platforms for data security and analysis in projects which deal with analysis of large amounts of sensitive naturalistic driving data, such as euroFOT. That is, although a guideline such as FESTA is used, how the details are implemented is what makes the implementation a success or not. This paper is a case description of the implementation of the data security and analysis platform used for euroFOT (and other naturalistic data projects) at the SAFER Vehicle and Traffic Safety Centre. The paper covers aspects ranging from physical access to analysis rooms and corresponding digital access, via the platforms for pre-processing of data, to the platforms for information extraction for hypothesis analysis and statistics. The considerations in the design and choice of these platforms include subjects (drivers) privacy concerns, industry commercial concerns, as well as the needs and requirements from the analysis.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Publication and Content Type
- kon (subject category)
- ref (subject category)
To the university's database
- By the author/editor
-
Bärgman, Jonas, ...
-
Gellerman, Helen ...
-
Kovaceva, Jordan ...
-
Nisslert, Rasmus ...
-
Selpi, Selpi, 19 ...
-
Steinmetz, Erik ...
-
show more...
-
Dozza, Marco, 19 ...
-
show less...
- About the subject
-
- NATURAL SCIENCES
-
NATURAL SCIENCES
-
and Computer and Inf ...
-
- NATURAL SCIENCES
-
NATURAL SCIENCES
-
and Computer and Inf ...
-
and Computer Science ...
- Articles in the publication
- Proceedings of t ...
- By the university
-
Chalmers University of Technology