Scipediacontent: Scipediacontent moved page Draft Content 161281721 to Schwarz et al 2015a

2021-02-03T18:54:10Z

Scipediacontent moved page Draft Content 161281721 to Schwarz et al 2015a

Scipediacontent: Created page with " == Abstract == With the introduction of more advanced vehicle technology, it is paramount to assess its safety benefit. Advanced driver assistance systems (ADAS) can reduce..."

2021-02-03T18:54:07Z

Created page with " == Abstract == With the introduction of more advanced vehicle technology, it is paramount to assess its safety benefit. Advanced driver assistance systems (ADAS) can reduce..."

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== Abstract ==

With the introduction of more advanced vehicle technology, it is paramount to assess its safety benefit. Advanced driver assistance systems (ADAS) can reduce crashes and mitigate crash severity, if designed appropriately. Driver behavior models are integral to the ADAS design process, complementing time and resource intensive human participant experiments. The authors introduce a method to model driver responses to forward collision events by quantifying multivariate behavior with copulas and Monte Carlo simulation. This approach capitalizes on the data from small samples of crash events observed in naturalistic or simulator studies. Copulas summarize data by capturing the underlying joint distribution of variables, and Monte Carlo methods can be used to repeatedly sample from these distributions. A driver model can be parameterized with these samples, and run on a desktop driving simulation environment.

== Original document ==

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

* [http://dx.doi.org/10.13140/rg.2.1.4686.0643 http://dx.doi.org/10.13140/rg.2.1.4686.0643]

* [http://dx.doi.org/10.17077/drivingassessment.1596 http://dx.doi.org/10.17077/drivingassessment.1596]

* [https://ir.uiowa.edu/cgi/viewcontent.cgi?article=1596&context=drivingassessment https://ir.uiowa.edu/cgi/viewcontent.cgi?article=1596&context=drivingassessment]

* [http://ir.uiowa.edu/cgi/viewcontent.cgi?article=1596&context=drivingassessment http://ir.uiowa.edu/cgi/viewcontent.cgi?article=1596&context=drivingassessment],
: [https://trid.trb.org/view/1373819 https://trid.trb.org/view/1373819],
: [https://ir.uiowa.edu/drivingassessment/2015/papers/55 https://ir.uiowa.edu/drivingassessment/2015/papers/55],
: [https://core.ac.uk/display/129643472 https://core.ac.uk/display/129643472],
: [http://drivingassessment.uiowa.edu/sites/default/files/DA2015/papers/056.pdf http://drivingassessment.uiowa.edu/sites/default/files/DA2015/papers/056.pdf],
: [https://academic.microsoft.com/#/detail/2249411087 https://academic.microsoft.com/#/detail/2249411087]

DOIS: 10.13140/rg.2.1.4686.0643 10.17077/drivingassessment.1596

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Schwarz et al 2015a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 161281721 to Schwarz et al 2015a

Scipediacontent: Created page with " == Abstract == With the introduction of more advanced vehicle technology, it is paramount to assess its safety benefit. Advanced driver assistance systems (ADAS) can reduce..."