详情

原文传递 Use of Weather Data to Predict Non-Recurring Traffic Congestion.

题名：	Use of Weather Data to Predict Non-Recurring Traffic Congestion.
作者：	DAILEY, D. J.
关键词：	TRAFFIC CONGESTION; TRAFFIC MANAGEMENT; WEATHER FORECASTING
摘要：	The goal of this project is to demonstrate the quantitative relationship between weather patterns and surface traffic conditions. The aviation and maritime industries use weather measurements and predictions as a normal part of operations, and this can be extended to surface transportation. While it is generally asserted that there is a causal relationship between weather and transportation system delays, this relationship has not been quantified in a way that allows the effects on surface transportation systems to be predicted. This research has the potential to accomplish two very important things: (1) prediction of non-recurring traffic congestion and (2) prediction of conditions under which incidents or accidents can have a significant impact on the freeway system. This linkage of weather to traffic may be one of the only non-recurring congestion phenomena that can be accurately predicted. If the research is successful, it will create a report that describes an algorithm and implementation to correlate weather and traffic congestion. Furthermore, it may provide a means for traffic management to proactively place resources to clear incidents.
报告类型：	科技报告