United States Department of Transportation
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Abstract:This study developed a new snow model and a database which warehouses geometric, weather and traffic
data on New Jersey highways. The complexity of the model development lies in considering variable road
width, different spreading/plowing patterns for mainlines and ramps, actual (traffic dependent) and
recommended plowing/spreading speeds and the use of mixed truck types. On the other hand, the complexity
of the developing database lies in extracting geometric details of study road sections, estimating/mapping
traffic speed considering the severity of weather (i.e. snow intensity), time of a day (i.e., peak/off-peak period
and weekday/weekend), and roadway type (i.e., urban/rural freeways/arterials). The developed model was
applied to three maintenance yards in New Jersey which demonstrates its dynamic and flexibility in adapting to
various circumstances (i.e., geometry, weather, and traffic) in estimating needed fleet size for salt spreading
and snow plowing operations for various scales (i.e., section, crew, yard, region, and statewide). The model
outcomes can be used to assist managers to determine the required number of contractor trucks before a
winter season and during/after a snow storm based on forecasted weather and traffic condition. The objective
of this study is to assist the New Jersey Department of Transportation (NJDOT) in developing a method to
estimate quantity of salt and fleet size for winter highway maintenance in the State of New Jersey.
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