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. |