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Each State DOT has its own goals and challenges in getting roadways back to pre-storm levels of
service. In general, maintenance planning and routing builds on past practice and results,
conditioned by the profile of the storm. Results for the road network as a whole depend on
setting the safety and mobility goals and routing the available vehicles in the maintenance fleet.
Results for a specific segment of roadway depend on factors such as the type of storm and
precipitation, timing of operations, and the type of treatment. The time to plow and treat all road
lanes on a route can be affected by the truck’s material capacity, location of maintenance
facilities, events on the roadway, changing winter storm conditions, traffic, staff shift changes,
and other factors.
Changes in weather patterns, the road network conditions, agency resources, and public
expectations are challenging past practices for planning and routing. Intense weather events—
whether winter snow and icing, hurricanes, or droughts and dust storms—are becoming more
likely. Traffic in urban areas and along interstate corridors is more congested even while lane
miles increase. Agencies continue to struggle with budgets and staffing to keep up with increased
needs for maintenance resources. Public perceptions focus more on extreme events where
expectations may not have been fully met than on regular consistent service.
This situation creates an opportunity to improve safety and mobility on roads subject to winter
weather through better vehicle routing. Operators and maintenance supervisors understand the
need to improve current practices. However, route optimization is a complex science. Routing
for winter maintenance needs research into models and methods to improve the state of its
practice.
The objective of this research in ARO for Operations is to create foundational systems
engineering documentation to create a system or tool that incorporates real-time and historic data
to develop an adaptive snowplow routing optimization solution for State DOT maintenance and
operations personnel for use during adverse winter weather. This documentation will be based on
current practices; State DOT experiences; and gaps found in a literature review, technology scan,
and interviews of State DOT early deployers. End users for this system or tool will include
snowplow operators, maintenance supervisors and management, transportation management
center personnel, public information office staff, and emergency management responders.
SYSTEM SCOPE
The ARO system will incorporate real-time and historic data in a snowplow routing solution for
State DOT maintenance and operations to use during adverse winter weather. The solution will
support a strategic view for maintenance planning and a tactical view for real-time operations.
Dashboards will be provided for users including managers, maintenance supervisors, and drivers.
The ARO system will consider level-of-service goals, route and segment priorities, cycle time
expectations, and current and forecast roadway conditions in route optimization. Current (near
real-time) conditions to be addressed include atmospheric weather, road weather, incidents, work
zones, and traffic volume (or demand). The system will consider, at minimum, the weather and
road weather conditions, and it may include other traffic and operational predictions. Routes will
further consider historical crash data, recurring problem areas, and weather-related experience
for their routing risk implications. Routing will consider constraints specific to snowplowing