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Assessment of non-recurrent congestion caused by precipitation using archived weather and traffic flow data
Authors:Younshik Chung
Institution:Center for Transportation Vulnerability Research, The Korea Transport Institute, Goyang 411-701, Republic of Korea
Abstract:Since precipitation has a negative impact on traffic congestion, there have been various studies for modeling the relationship between precipitation and its impact on traffic flow. However, due to limitations on existing data, none of the previous studies have accounted for the estimation of the total delay caused by precipitation. The objective of this study is to estimate the non-recurrent traffic congestion on freeways caused by precipitation. To accomplish this objective, archived weather and traffic data for the year 2008 from the Korean Freeway Systems was collected and analyzed. As a result, non-recurrent traffic congestion was about 1.6 million vehicle-hours due to rainfall and 186,000 vehicle-hours due to snowfall in 2008. In addition, simple analyses were performed to describe the average non-recurrent traffic congestion per unit distance as a function of precipitation and a function of the time period of precipitation. Although precipitation events might not be handled by human efforts, these results will assist in making strategic plans such as active speed management and contingency planning for mitigating traffic congestion due to precipitation.
Keywords:Snowfall  Rainfall  Non-recurrent congestion  Quantifying congestion  Road weather information systems (RWIS)  Archived traffic flow data
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