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Multivariate Analysis of Crash and Naturalistic Driving Data in Relation to Highway Factors.
| 题名： | Multivariate Analysis of Crash and Naturalistic Driving Data in Relation to Highway Factors. |
| 作者： | Barnes, M. A.; Blower, D. F.; Gordon, T. J.; Green, P. E.; Kostyniuk, L. P. |
| 关键词： | Accident Analysis; Driver Behavior; Geographic Information Systems; Highway Safety; Highways; Lane Changing Accidents; Motor Vehicle Accidents; Risk Factors; Road Departure; Statistical Data; Traffic |
| 摘要： | The research presented in this report deals with the joint statistical analysis of crash data and naturalistic driving data (NDD), referenced in a common spatial framework. The aim is to provide a validated quantitative link between detailed measurements of naturalistic driving behavior, road departure crashes, and road segment characteristics. No such link exists, and therefore the goal was to develop appropriate analysis methods capable of associating crash risk with quantitative metrics (crash surrogates) available from NDD. In this process, geographic information system (GIS) tools and other analysis tools were used. When applied to results of the future SHRP 2 naturalistic driving study (NDS), the methods should provide quantitative relationships between driving and crash risk, provide validated surrogates for these types of crashes, and develop new understanding of risk factors, which can be used to improve highway safety. This work is exploratory in nature and uses preexisting driving data from southeastern Michigan to develop initial statistical models and formulate appropriate metrics. The study is based on the idea that the underlying mechanisms leading to single-vehicle road departure crashes are the same as those that create variations in normal driving, especially those involving disturbed lane-keeping control. |
| 报告类型： | 科技报告 |
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