GPS Fleet Tracking for Snow Removal & Winter Maintenance

A GPS track shows where the truck went. That is not the same as where it plowed. An IOX-AUXM module on the GO device reads the plow-lift, wing and spreader circuits through the truck's own wiring, so every point on the route carries whether the blade was down and the spreader was on. The route map for a storm draws the plowed segments in one colour, the treated ones in another and the deadheading in a third, and the report behind it lists every street with the time it was serviced and the truck that did it.

That record is what a municipality needs when the phone rings the next morning. The street was plowed at 4:12 by unit 27, the blade was down the whole length, and the spreader was on from the corner. Or it was not, and the operations manager knows before the council meeting rather than during it. Municipalities that want to go further publish a resident-facing plow map from the same data, which cuts the morning calls to the ones that matter.

A snow contractor's invoice says a parking lot was plowed twice and salted once during a storm. The client's property manager was asleep. The platform's record shows the truck inside the site geofence from 1:40 to 2:05 with the blade down, again from 5:10 to 5:30, and the spreader on for the second visit. High Point GPS builds the proof-of-service report to match the contract, per site and per visit, so the invoice goes out with the evidence attached and payment does not wait on a phone call.

The same records answer the claim that arrives in April. A pedestrian fell in the lot on the morning of the storm, or a car slid into a curb; the record shows when the lot was last plowed and salted, by which truck, with the spreader status, and the trip replay shows the truck's path across the lot. For a contractor, that record is the difference between a claim defended and a claim paid.

Salt is the second-largest line in a winter-maintenance budget and the least controlled. Spreader controllers that integrate with the platform report the application rate and the material used per route, so the operations centre sees which routes and which operators are spreading heavier than the plan. Even without controller integration, the spreader-on time per route from the auxiliary input, multiplied by the set rate, gives a material estimate per storm that the budget can track against.

Fuel follows the same logic. A plow truck idles through a storm, at the yard between routes and at the salt dome while it loads, and the idling report per truck shows where the diesel goes. Fuel-card integration matches the fuel bought to the truck that burned it, per storm and per season.

A plow truck may add fifty kilometres to its odometer in a twelve-hour shift and run its engine and hydraulics the whole time. Engine-hours and PTO-hours reminders schedule the hydraulic, engine and spreader-drive service on the hours the truck actually works, and engine fault codes reach the shop as the truck logs them, so a charging or cooling fault is repaired between storms rather than discovered during one. Electronic DVIR in the Geotab Drive app covers the plow, the wing, the spreader and the lights, and a defect reaches the shop before the storm starts.

Driver scoring is set for a heavy truck on a slick road, with hard braking and cornering weighted for winter conditions, and AI dash cams give the road-facing view for the collision review and the driver-facing fatigue detection that matters at hour ten of a shift. When the snow is gone, the same trucks and the same platform go back to sweeping, hauling and mowing, with the plow inputs ignored until November.