详情

Database Development and Model Re-Calibration for Quantification of Impacts of Freeway Incidents

项目名称：	Database Development and Model Re-Calibration for Quantification of Impacts of Freeway Incidents
摘要：	Evaluation of the impact of highway incidents is an essential component in the planning and analysis of incident management strategies [1, 2]. A recently completed project, "Development of an Analysis Tool for Evaluation of Marginal Impacts of Freeway Incidents in the Las Vegas Area using FAST's Dashboard Freeway Data", conducted at University of Nevada at Las Vegas (UNLV) and funded by Nevada Department of Transportation (NDOT) and University Transportation Centers (UTC), calibrated a set of statistical models for quantification of freeway incidents. Models were calibrated using historical incident and traffic data from the I-15 freeway in Las Vegas. This data was acquired from FAST's Dashboard (Performance Monitoring and Measuring System software). However, currently this traffic data stored in the Dashboard is at 15 minute intervals, which is too "coarse" and use of this data results in models that do not produce very accurate estimates. Furthermore, FAST has recently upgraded the incident data they are storing by capturing and storing snapshots of the incidents at intervals of 30 seconds. This allows for extracting significantly higher levels of incident details that was not available when the previous study was being conducted. The main goals of this project then are to acquire more refined traffic data (at intervals of 1 minute) and use it with the new incident detailed data to re-calibrate the models for more accurate estimation of incident impacts.
状态：	Active
资金：	92400.00
资助组织：	Department of Transportation
执行机构：	Transportation Research Center
开始时间：	20141101
实际结束时间：	20151031
主题领域：	Data and Information Technology；Highways；Operations and Traffic Management；Planning and Forecasting