Modeling the Macroscopic Effects of Winter Maintenance Operations on Traffic Mobility on Washington Highways
项目名称: Modeling the Macroscopic Effects of Winter Maintenance Operations on Traffic Mobility on Washington Highways
摘要: In the northern states and other cold regions, winter maintenance operations play a significant role in how effective or ineffective the transportation system is during snowy or icy weather. Data modeling and analytical tools are much needed to optimize passenger and freight movements, taking into consideration the impacts of winter weather as well as winter maintenance operations. Recent years have seen increased use of anti-icing strategy and smart snowplow technologies for highway winter maintenance operations. When implemented appropriately, anti-icing (a proactive strategy) has demonstrated significant benefits in traffic mobility and safety, compared with conventional deicing (a reactive strategy). Smart snowplow technologies have shown their benefits in improving the level of service on winter highways as well. The mobility effects of such best practices, however, remain anecdotal and need to be systematically investigated and quantified. It is the intent of this study to lay the foundational work for modeling the macroscopic effects of winter maintenance operations (including the aforementioned best practices) on traffic mobility in the Pacific Northwest, with the first case study conducted on Washington highways.
状态: Completed
资金: 112505
资助组织: Office of the Assistant Secretary for Research and Technology
管理组织: University of North Carolina, Charlotte
项目负责人: Fan, Wei (David)
执行机构: Washington State University
主要研究人员: Shi, Xianming
开始时间: 20171001
预计完成日期: 20190930
实际结束时间: 20190930
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