Thompson et al 2010a - Revision history

Scipediacontent at 15:21, 21 January 2021

2021-01-21T15:21:28Z

Scipediacontent: Scipediacontent moved page Draft Content 123032448 to Thompson et al 2010a

2020-10-14T10:56:55Z

Scipediacontent moved page Draft Content 123032448 to Thompson et al 2010a

Scipediacontent: Created page with " == Abstract == Accident detection systems help reduce fatalities stemming from car accidents by decreasing the response time of emergency responders. Smartphones and their o..."

2020-10-14T10:56:52Z

Created page with " == Abstract == Accident detection systems help reduce fatalities stemming from car accidents by decreasing the response time of emergency responders. Smartphones and their o..."

New page

== Abstract ==

Accident detection systems help reduce fatalities stemming from car accidents by decreasing the response time of emergency responders. Smartphones and their onboard sensors (such as GPS receivers and accelerometers) are promising platforms for constructing such systems. This paper provides three contributions to the study of using smartphone-based accident detection systems. First, we describe solutions to key issues associated with detecting traffic accidents, such as preventing false positives by utilizing mobile context information and polling onboard sensors to detect large accelerations. Second, we present the architecture of our prototype smartphone-based accident detection system and empirically analyze its ability to resist false positives as well as its capabilities for accident reconstruction. Third, we discuss how smartphone-based accident detection can reduce overall traffic congestion and increase the preparedness of emergency responders.

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Draft_Content_123032448-beopen247-9870-document.pdf</pdf>

== Original document ==

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

* [http://www.dre.vanderbilt.edu/~schmidt/PDF/wreckwatch.pdf http://www.dre.vanderbilt.edu/~schmidt/PDF/wreckwatch.pdf]

← Older revision		Revision as of 15:21, 21 January 2021
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	Accident detection systems help reduce fatalities stemming from car accidents by decreasing the response time of emergency responders. Smartphones and their onboard sensors (such as GPS receivers and accelerometers) are promising platforms for constructing such systems. This paper provides three contributions to the study of using smartphone-based accident detection systems. First, we describe solutions to key issues associated with detecting traffic accidents, such as preventing false positives by utilizing mobile context information and polling onboard sensors to detect large accelerations. Second, we present the architecture of our prototype smartphone-based accident detection system and empirically analyze its ability to resist false positives as well as its capabilities for accident reconstruction. Third, we discuss how smartphone-based accident detection can reduce overall traffic congestion and increase the preparedness of emergency responders.		Accident detection systems help reduce fatalities stemming from car accidents by decreasing the response time of emergency responders. Smartphones and their onboard sensors (such as GPS receivers and accelerometers) are promising platforms for constructing such systems. This paper provides three contributions to the study of using smartphone-based accident detection systems. First, we describe solutions to key issues associated with detecting traffic accidents, such as preventing false positives by utilizing mobile context information and polling onboard sensors to detect large accelerations. Second, we present the architecture of our prototype smartphone-based accident detection system and empirically analyze its ability to resist false positives as well as its capabilities for accident reconstruction. Third, we discuss how smartphone-based accident detection can reduce overall traffic congestion and increase the preparedness of emergency responders.
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−	~~Document type: Part of book or chapter of book~~
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−	~~== Full document ==~~
−	~~<pdf>Media:Draft_Content_123032448-beopen247-9870-document.pdf</pdf>~~


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	* [http://www.dre.vanderbilt.edu/~schmidt/PDF/wreckwatch.pdf http://www.dre.vanderbilt.edu/~schmidt/PDF/wreckwatch.pdf]		* [http://www.dre.vanderbilt.edu/~schmidt/PDF/wreckwatch.pdf http://www.dre.vanderbilt.edu/~schmidt/PDF/wreckwatch.pdf]
		+
		+	* [http://link.springer.com/content/pdf/10.1007/978-3-642-17758-3_3 http://link.springer.com/content/pdf/10.1007/978-3-642-17758-3_3],
		+	: [http://dx.doi.org/10.1007/978-3-642-17758-3_3 http://dx.doi.org/10.1007/978-3-642-17758-3_3] under the license http://www.springer.com/tdm
		+
		+	* [https://link.springer.com/chapter/10.1007/978-3-642-17758-3_3 https://link.springer.com/chapter/10.1007/978-3-642-17758-3_3],
		+	: [http://www.cs.wustl.edu/~schmidt/PDF/wreckwatch.pdf http://www.cs.wustl.edu/~schmidt/PDF/wreckwatch.pdf],
		+	: [https://www.scipedia.com/public/Thompson_et_al_2010a https://www.scipedia.com/public/Thompson_et_al_2010a],
		+	: [https://rd.springer.com/chapter/10.1007/978-3-642-17758-3_3 https://rd.springer.com/chapter/10.1007/978-3-642-17758-3_3],
		+	: [https://dblp.uni-trier.de/db/conf/mobilware/mobilware2010.html#ThompsonWDAS10 https://dblp.uni-trier.de/db/conf/mobilware/mobilware2010.html#ThompsonWDAS10],
		+	: [https://eudl.eu/pdf/10.1007/978-3-642-17758-3_3 https://eudl.eu/pdf/10.1007/978-3-642-17758-3_3],
		+	: [https://eudl.eu/doi/10.1007/978-3-642-17758-3_3 https://eudl.eu/doi/10.1007/978-3-642-17758-3_3],
		+	: [https://academic.microsoft.com/#/detail/2154043763 https://academic.microsoft.com/#/detail/2154043763]

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