Calibration / Development of Safety Performance Functions in New Jersey
项目名称: Calibration / Development of Safety Performance Functions in New Jersey
摘要: The predictive models in the Highway Safety Manual (HSM) are based on the Safety Performance Functions (SPFs), which is a statistical regression model based on observed crash data from similar facility types and estimates the predicted average crash frequency the base conditions. To account for differences between the base conditions and the specific conditions of the facility site, crash modification factors (CMFs) are utilized to adjust the prediction to account for the geometric design and traffic control features of the specific site. SPFs in the HSM were developed using historic crash data collected over a number of years at sites of the same facility type in different states. Because the SPFs provided in the HSM are developed using data from other states it is more than likely that they cannot be transferred directly to other locations and times. Thus HSM's predictive model often needs to be calibrated to capture local state or geographic conditions. Moreover, accident frequencies for similar facility types can also vary from one jurisdiction to another, since their locations differ in climate, driver population and characteristics, accident reporting threshold, accident reporting practices and other contributing factors. To let the SPFs better accommodate the local data, two strategies are usually taken: � The first strategy is to calibrate SPFs provided in HSM so that the contents of HSM can be fully leveraged. � The second strategy is to estimate location-specific SPFs regardless of the predictive modeling framework in the HSM.
状态: Active
资金: $450,240
资助组织: Research and Innovative Technology Administration
管理组织: New Jersey Department of Transportation
项目负责人: Ukpah, Priscilla
执行机构: New York University Tandon School of Engineering Civil and Urban Engineering/Center for Urban Science and Progress
主要研究人员: Nassif, Hani
开始时间: 20170925
预计完成日期: 20190925
实际结束时间: 0
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