详情

原文传递 SIMPLIFIED APPROACH TO FORECAST HIGHWAY CRASH RATES OF SELECTED SPECIAL POPULATION SUBSETS.

题名：	SIMPLIFIED APPROACH TO FORECAST HIGHWAY CRASH RATES OF SELECTED SPECIAL POPULATION SUBSETS.
作者：	Dissanayake-S; Lu-JJ; Chu-X
关键词：	ACCIDENT-RATES; AGED-DRIVERS; CHILDREN-; FLORIDA-; FORECASTING-; HIGHWAY-SAFETY; MATHEMATICAL-MODELS; REGRESSION-ANALYSIS; TIME-SERIES-ANALYSIS; TOURISTS-; UNITED-STATES; YOUNG-DRIVERS
摘要：	Time series models developed by regression to forecast highway crash rates in association with some selected special population subsets are described here. Such models are useful for assessing the safety performance of the subsets because the problems inherent in subsets are different from those of the average highway population. They also enable high-risk groups to be identified, not only under present conditions but also in the future. Two sets of models were developed: one for the state of Florida and the other for the United States. The population subsets considered included older drivers, young drivers, international tourists, and school-age children as nonmotorists. Among the different model formats tried, the negative exponential was the best fitting and gave reasonably good fitness, as indicated by considerably high R-squared values varying from 0.784 to 0.974. The main purpose of the model building was to forecast the crash rates by each population subset at various time points within the study horizon. Previous studies by other researchers where forecast values were compared with actual values have indicated that most of the complex models were incapable of explaining the future situation. As such, the opinion of the authors is that simple models with year as the independent variable could be advantageous for forecasting the safety performance of the highway system for special population groups.
总页数：	Transportation Research Record. 1999. (1665) pp44-50 (7 Fig., 5 Tab., 18 Ref.)
报告类型：	科技报告