Using naturalistic driving data to explore the association between traffic safety related events and crash risk at driver level
Publisher:
Year
: 2014DOI: 10.1016/j.aap.2014.07.005
Keyword(s): Naturalistic driving data,Surrogate events,Safety,Multivariate Poisson log
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Using naturalistic driving data to explore the association between traffic safety related events and crash risk at driver level
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| contributor author | Wu, Kun - Aguero - Jovanis, Paul P. | |
| date accessioned | 2020-03-12T10:58:47Z | |
| date available | 2020-03-12T10:58:47Z | |
| date issued | 2014 | |
| identifier issn | 0001-4575 | |
| identifier other | 10.1016-j.aap.2014.07.005.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/842462?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | Elsevier Science | |
| title | Using naturalistic driving data to explore the association between traffic safety related events and crash risk at driver level | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 6668832 | |
| subject keywords | Naturalistic driving data | |
| subject keywords | Surrogate events | |
| subject keywords | Safety | |
| subject keywords | Multivariate Poisson log | |
| identifier doi | 10.1016/j.aap.2014.07.005 | |
| journal title | Accident Analysis & Prevention | |
| journal volume | 72 | |
| journal issue | 0 | |
| filesize | 675926 | |
| citations | 2 |