Truck route planning identifies the most efficient and cost-effective path for moving freight between locations. Before a vehicle leaves your yard, OTR fleets can account for trucks, cargo, drivers, delivery commitments, real-time weather and traffic conditions, warehouse delays, and more. In turn, strong fleet route optimization can reduce fuel consumption, wear and tear on your equipment, on-time performance, and even driver retention.
Truck Route Planning Differs From Everyday Navigation
Can’t truckers just use Google Maps?
Consumer navigation applications are designed for passenger vehicles. While they may identify the fastest path between two points, they don’t account for everything your OTR fleet may encounter. A route may be efficient for a car but be unsafe, physically inaccessible, or even illegal for a loaded trailer.
Effective truck routing incorporates the vehicle profile, load characteristics, operating regulations, route constraints, delivery schedule, and potential problems along the way.
Planning vs. Optimization vs. Scheduling
Planning, fleet route optimization, and scheduling all work together to create an optimal plan.
Route Planning
Route planning determines the practical path a truck should follow based on shipment requirements and operating constraints. It establishes how the load is expected to move before dispatch.
Truck Route Optimization
Truck route optimization evaluates multiple possible routes, stops, vehicles, and assignments to identify the combination to produce the optimal results.
Scheduling
The scheduling function optimizes when drivers should leave, arrive, load/unload, take required breaks, and complete the trip, connecting physical routes with delivery windows, driver availability, hours-of-service requirements, and facility schedules.
Together, planning, optimization, and scheduling create the operating plan that dispatchers and drivers execute.
The Key Inputs That Shape a Truck Route Plan
Truck route planning software will account for a variety of inputs, including:
- Freight volume and load type: Shipment dimensions, weight, handling requirements, and commodity characteristics influence vehicle selection, road eligibility, and stop sequencing.
- Delivery windows: Missing a narrow window can create detention, production delays, or rescheduling fees.
- Vehicle profile: Trailer height, gross vehicle weight, axle configuration, turning radius, and equipment type determine which roads and facilities can be used safely.
- Road conditions: Construction, congestion, weather, accidents, and closures can change truck route planning.
- Fuel costs and tolls: Planners must compare mileage, fuel prices, toll expenses, traffic exposure, and expected idle time.
- Driver availability: Hours-of-service limits, remaining driving time, home-time commitments, certifications, and lane familiarity can affect driver assignment.
- Freight consolidation: Combining orders can reduce empty miles and improve trailer utilization, while balancing any potential savings against additional stops and delivery requirements.
These inputs also provide the data for your supply chain KPIs to measure and track, including on-time delivery, cost per mile, fuel efficiency, detention time, and asset utilization.
How to Plan a Truck Route Step by Step
Here is a step-by-step approach for planning an optimal truck route.
- Review shipment requirements: Confirm the freight type, weight, dimensions, pickup location, destination, handling needs, and delivery commitments. Identify any special restrictions before assigning equipment.
- Consolidate compatible orders: Look for shipments that can share a trailer, lane, or stops without jeopardizing delivery windows.
- Match the load to the vehicle and driver: Select equipment that can legally and safely handle the shipment. Assign a driver with enough available hours, the appropriate credentials, and a schedule that aligns with the expected trip duration.
- Identify truck-safe route options: Evaluate roads based on commercial vehicle restrictions, bridge clearances, weight limits, construction zones, weather exposure, fuel locations, parking availability, and access.
- Compare time and cost trade-offs: Review mileage, estimated travel time, fuel consumption, tolls, congestion risk, and potential detention.
- Build the operating schedule: Calculate departure times, pickup and delivery appointments, planned breaks, fueling stops, and realistic buffers for congestion or facility delays.
- Validate and dispatch the route: Send the route, stop sequence, customer instructions, and load details through your fleet dispatch software or fleet transportation management system (TMS).
- Monitor the trip and adjust when needed: Use live location, traffic, weather, and facility data to determine whether dynamic routing is necessary.
- Review actual performance: Compare planned mileage, travel time, fuel use, arrival times, and stop duration against your actual results. This post-run review is the feedback loop many fleets skip, even though it provides valuable data to improve operations in the future.
Common Truck Route Planning Challenges
Most route planning problems stem from one underlying issue. Decisions are being made without current, accurate, or connected information.
Stale traffic and road data may produce a route that is already inefficient before dispatch. Post-dispatch changes, including canceled appointments, production delays, weather events, and facility congestion, can make the original plan obsolete.
Siloed information creates another challenge. Shipment data may sit in one platform, driver availability in another, and vehicle location in a separate telematics system. Dispatchers are then forced to reconcile the information manually.
At the same time, manual planning becomes difficult to scale. A planner may be able to manage a few trucks using spreadsheets, but complexity increases as the number of vehicles, stops, delivery windows, and constraints grows. Without current, accurate data, you’re operating at a severe disadvantage and likely increasing your operating costs.
Real-Time GPS and IoT Data Improve Route Planning
Accurate planning demands solid inputs. Real-time GPS data can show where trucks are, how quickly they’re moving, and whether they’re likely to meet upcoming appointments. IoT sensors can provide additional information about trailers, containers, cargo conditions, yard movements, temperature monitoring, and more.
IoT in the supply chain gives planners the current data they need to make better decisions. Instead of relying only on scheduled departure and arrival times, you can see whether a trailer is available, whether a load has left the supplier, and whether a driver is about to run into an unexpected delay. This visibility makes planning more efficient and also powers dynamic routing. When something changes, you can implement alternatives and update routes even when the shipment is still in transit.
Asset intelligence across the entire supply chain improves truck route optimization by helping fleets assign the right available asset, reduce search time, avoid unnecessary repositioning, and identify delays that cut into your bottom line.
Surgere provides the real-time data layer that helps transportation teams strengthen planning decisions and maintain visibility. IoT sensor and tracking technologies help you monitor assets and material flows across even the most complex manufacturing and logistics networks.
Contact Surgere to see how connected asset data can improve your routing, transportation visibility, and OTR fleet performance.
