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Techniques for Efficient Detection of Rapid Weather Changes and Analysis of their Impacts on a Highway Network

项目名称：	Techniques for Efficient Detection of Rapid Weather Changes and Analysis of their Impacts on a Highway Network
摘要：	Adverse weather conditions have a significant impact on the safety, mobility, and efficiency of highway networks. Annually, 24 percent of all crashes, more than 7,400 roadway fatalities, and over 673,000 crash related injuries were caused by adverse weather conditions between 1995 and 2005 [1]. In addition, weather contributed to 23 percent of all non-reoccurring delay and approximately 544 million vehicle hours of delay each year [2]. Nearly 2.3 billion dollars each year are spent by transportation agencies for winter maintenance that contribute to close to 20 percent of most departments of transportation's (DOTs') yearly budgets [2]. These safety and mobility factors make it important to develop new and more effective methods to address road conditions during adverse weather conditions. This proposal focuses on the analysis of rapid (or sudden) weather changes, a special category of adverse weather conditions that are important but have not been well-studied in the transportation field. The proposed research investigates methods for efficiently detecting rapid weather changes and analyzing their impacts on the characteristics of a highway network. The proposed research will investigate efficient and effective methods for: (1) detecting rapid weather changes in a highway network using the streaming weather information from a sensor network of weather stations; (2) analyzing the impacts of rapid weather changes on the characteristics of a highway network, including speed, travel time, and congestion; and 3) forecasting short-term traffic flow conditions (e.g., speeds, volumes) of the highway network following the occurrence of rapid weather changes.
状态：	Completed
资金：	74462
资助组织：	Office of the Assistant Secretary for Research and Technology
管理组织：	University Transportation Research Center
项目负责人：	Eickemeyer, Penny
执行机构：	State University of New York, Albany
主要研究人员：	Lawson, Catherine
开始时间：	20160901
预计完成日期：	20170831
实际结束时间：	0