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Investigating the Impact of Lack of Motorcycle Annual Average Daily Traffic Data in Crash Modeling and the Estimation of Crash Modification Factors
| 题名： | Investigating the Impact of Lack of Motorcycle Annual Average Daily Traffic Data in Crash Modeling and the Estimation of Crash Modification Factors |
| 作者： | Lyon, C.; Persaud, B.; Scopatz, R.; Himes, S.; Albee, M.; Le, T. |
| 关键词： | Motorcycles##Crash data##Safety##Motorcycle accidents##Traffic volume##Data collection##Motorcycle crashes##Safety evaluations##Safety performance functions (SPFs)##Crash modification factors (CMFs)##Average Annual Daily Traffic (AADT)## |
| 摘要： | The development of safety performance functions (SPFs) and crash modification factors (CMFs) requires data on traffic exposure. The analysis of motorcycle crashes can be especially challenging in this regard because few jurisdictions collect motorcycle traffic volume data systematically. To address this challenge, the project team conducted several analyses to explore (1) how much predictive power for an SPF is lost when motorcycle volumes are unknown and how this lack of information may affect the development of CMFs for motorcycle crashes, and (2) alternative methods for deriving accurate predictions of motorcycle crashes or motorcycle volumes. |
| 总页数： | 150 |
| 报告类型： | 科技报告 |
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