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原文传递 Exploratory Advanced Research Program Video Analytic Research Projects.

题名：	Exploratory Advanced Research Program Video Analytic Research Projects.
关键词：	Transportation safety, Transportation cost analysis, Transportation (Highway), Research program (administration), Video analytics, Highway crashes, Driver behavior, Collision accidents, Strategic Highway Research Program (SHRP 2)
摘要：	Transportation researchers are starting to use extremely large datasets to identify and understand complex transportation issues that can impact transportation efficiency, cost, and safety. New automated tools for data extraction and analysis will help make these massive datasets accessible to the widest possible range of researchers, dramatically reducing both the cost and the time it takes to process the raw data. Developing new techniques to automatically process and analyze such large quantities of data is the goal of several recent research projects funded by the Federal Highway Administration’s (FHWA’s) Exploratory Advanced Research (EAR) Program. The Transportation Research Board’s second Strategic Highway Research Program (SHRP 2) study demonstrates the immense scale of data being gathered. The flagship dataset to emerge from the SHRP 2 study is the naturalistic driving study (NDS). This represents the largest ever study designed to better understand the interaction among various factors involved in highway crashes—driver, vehicle, and infrastructure—so that better safety countermeasures can be developed and applied to save lives. The study is a focus on driver behavior and addresses the notion that it is possible to obtain more and better information on what people do when they drive—not just in the moments before they get into a collision but on a day-to-day basis. NDS helps deliver the solid baseline reference that is required to provide context to assess what is high-risk behavior and what is considered normal.
报告类型：	科技报告