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Optimization of snow removal in Vermont.

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English


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  • Abstract:
    The purpose of this report is to document the research activi ; ties performed under project SPR ; - ; RAC ; - ; 727 for the ; State of Vermont, Agency of Transportation, Materials & Research Section entitled “Optimization of Snow Removal ; in Vermont” ; . ; The overall objective for this project was to develop, for VTrans roadway snow an ; d ice control ; operations, storm ; - ; specific routes designed to maximize the efficiency of the service provided in terms of labor ; - ; hours and fuel ; . ; This report describes the set of processes implemented for optimizing RSIC operations for the ; roadways that VTran ; s is responsible for ; . ; Three different approaches to establishing priority for certain roadways ; are implemented, including one that uses the Network Robustness Index developed previously by researchers at ; the UVM TRC, and each is run for three storm levels ; ; low ; - ; salt, medium ; - ; salt, and high ; - ; salt ; . ; Storm ; - ; intensity levels ; are important because they dictate the amount of salt application required ; - ; ; 200 lbs/mile, 500 lbs/mile, and 800 ; lbs/mile, which is the primary constraint for the maximum length of a round ; - ; trip route for roadway snow and ice ; control. ; The first task was to optimize the service areas for each of the 61 VTrans maintenance garages based on the ; travel time between each garage and the surrounding road network ; . ; The second task was to develop alte ; rnative ; vehicle allocation methods and assign each of the vehicles in the VTrans RSIC fleet to the maintenance garages ; based on these methods ; . ; The third task was to optimally route each of these vehicle allocations according to the ; combined service time/f ; uel consumption metric ; . ; The fourth and final task was to evaluate the competing vehicle ; allocations based on the speed with which high priority road corridors are serviced
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    Filetype[PDF - 2.40 MB]
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    urn:sha-512:3f0e902f710218d676e14a66b3d1df7f45b67ce50541ffd4474b7f9fa6ea25b0d3074690f6ce1039db5a1139560c507bee71c9c5faf6628b5fc071ddadab3c30
File Language:
English
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