How Should Logistics Companies Manage Winter Weather Risks?

Winter weather can disrupt a shipment long before a road closes. Conditions can change across a route, and a vehicle’s arrival can determine whether it encounters clear pavement, heavy snow, freezing rain, or dangerous winds.

For logistics companies, managing winter weather risk requires fleet managers to understand what conditions a vehicle is likely to encounter, where and when the greatest risk will occur, and whether that risk warrants changing the route, adjusting the departure time, or delaying the trip.

So the question is, what weather and road conditions will this vehicle encounter at each point along its route?

Winter weather can disrupt more than the road

Winter weather can affect safety, travel time, roadway capacity, and delivery reliability. Snow and ice are only part of the risk. More than 77% of weather-related crashes occur during rain or mist conditions, according to the U.S. Federal Highway Administration (FHWA).

Weather can also slow freight movement. The FHWA reports that heavy snow can reduce average freeway speeds by as much as 40%, while both heavy snow and heavy rain can reduce roadway capacity.

The operational challenge is that these impacts are rarely uniform across an entire route. An ice storm, snow squall, period of heavy rain, or high winds may create significant risk along one part of a trip while conditions elsewhere remain manageable.

Set the rules before the weather arrives

A winter preparedness plan should clearly define who monitors conditions and who has the authority to change operations when necessary.

“Conditions at the beginning and end of a route may be very different from what a driver encounters between them.”

Fleets should establish which hazards require additional review and who can reroute or delay a vehicle. They should also define what conditions trigger a go/no-go decision, how drivers receive updates, and how customers are notified when weather affects a delivery.

The thresholds for those decisions should also be clear. A warning that conditions may be “hazardous” still leaves a dispatcher to determine what to do.

A defined threshold can connect a condition or risk level to an action, such as changing the departure time, using another route, or delaying the trip. Those thresholds may differ by vehicle, cargo, and assignment. For example, high winds can have different implications for a high-profile vehicle than for a smaller one.

The route matters more than the forecast location

Monitoring weather across the entire route gives logistics companies a more accurate view of the conditions a vehicle is likely to encounter than relying on forecasts at the origin and destination.

The I-80 corridor over Donner Pass illustrates how quickly winter conditions can affect freight movement. During a February 2025 storm, trucks were held because of spinouts and traction issues, and tractor-semitrailer traffic was temporarily restricted.

Timing adds another variable. A storm that peaks at noon may have little effect on a vehicle passing through the area at 8 a.m. The same storm could present a much greater risk to a vehicle reaching that corridor four hours later.

Route-level weather intelligence evaluates the weather and road conditions a vehicle is expected to encounter at each point along its route at the time it is expected to arrive.

That assessment can include precipitation type and intensity, air and road-surface temperatures, snow and ice accumulation, visibility, wind, traffic conditions, road closures or vehicle restrictions, expected arrival time and conditions on alternate routes.

Plan across multiple time zones

Winter weather planning should occur across multiple time horizons:

Several days ahead, logistics teams can identify potentially exposed routes and begin contingency planning, e.g., alternative schedules, repositioning vehicles, or creating additional flexibility around customer commitments.

Within 24 to 72 hours, forecasts generally provide greater clarity on timing, location, and intensity. Dispatchers can begin evaluating which routes, departure times, and vehicle assignments are likely to face the greatest risk and where alternatives may be available.

Within 24 hours, the assessment can become more specific. Teams can identify a narrower window of freezing precipitation, a period of high winds along an exposed corridor, or the approximate time pavement conditions are expected to deteriorate.

The assessment should continue after dispatch.

Make the decision fit the risk

“A go/no-go decision does not always have to mean sending the vehicle or cancelling the trip.”

A go/no-go decision does not always have to mean sending the vehicle or cancelling the trip. More precise information gives fleets more options. If hazardous conditions are concentrated in a narrow time window, changing the departure time may reduce exposure. If freezing precipitation affects one portion of the planned route, an alternate route may be available. If acceptable alternatives are not available, delaying the trip may be the appropriate response.

A consistent decision framework can help dispatchers answer four questions:

  1. What conditions will the vehicle encounter?
  2. Where and when will the highest risk occur?
  3. Would changing the route or departure time reduce that risk?
  4. If the risk cannot be reduced sufficiently, should the trip be delayed?

Documenting the conditions and reasoning behind significant decisions also gives fleet managers a record they can review after an event and use to improve future operating thresholds.

Bring weather risk into the workflow

More information does not necessarily produce better decisions. Sending every forecast update or weather alert can create alert fatigue. Instead, fleets can establish thresholds for conditions that require attention and connect those thresholds to operating procedures.

For example, a high-wind alert is more useful when a dispatcher knows where the risk is located, when a vehicle is expected to reach it, and whether the conditions cross an established operating threshold.

Where possible, weather and risk information should also fit into existing dispatch, routing, or fleet-management workflows. The objective is to give operations teams enough warning and context to act without requiring them to continually interpret another stream of raw weather data.

Add crash risk to the route assessment

Logistics operators need to determine what changing weather forecasts mean for a specific vehicle, route, and departure time.

The DTN Crash Risk Index provides dynamic, hyperlocal crash-risk scores for individual segments of a planned or potential route. The AI-powered tool combines real-time and forecast weather, road conditions including ice, snow, and surface temperature, traffic density, historical crash rates, and vehicle class.

The Crash Risk Index estimates the percentage increase in crash likelihood compared with baseline conditions for each route segment. It can assess risk in real time and provide predictive risk information up to 72 hours in advance.

That 72-hour window gives fleet operators time to move from general contingency planning to specific operational decisions. Dispatchers and safety teams can evaluate whether a vehicle should stay on its planned route, whether an alternate route would reduce exposure, whether adjusting departure time could avoid the highest-risk period, or whether a load should be delayed.

Winter weather will always introduce uncertainty into logistics operations. The earlier a fleet can identify where that uncertainty becomes meaningful operational risk, the more options it has to respond.

Learn more about how DTN Crash Risk Index helps fleets assess route-specific crash risk up to 72 hours in advance.

Learn More