Road Trip Fuel Estimator
Calculate delivery route costs, fuel consumption, and time requirements. Optimize logistics with stop-by-stop analysis and cost per delivery metrics.
Formula
Total Cost = (Distance/MPG × Fuel Price) + (Total Time/60 × Driver Wage)
Route cost combines fuel expenses and labor costs. Distance is stops × average distance between. Time includes driving and stop duration.
Worked Examples
Example 1: Urban Delivery Route
Problem:Courier: 15 stops, 2 miles between each, 6 min/stop, 22 MPG van, $3.80 gas, $22/hr driver.
Solution:Distance: 15 × 2 = 30 miles Drive time: 30 / 30 mph = 60 min Stop time: 15 × 6 = 90 min Total: 150 min = 2.5 hours Fuel: 30 / 22 = 1.36 gallons × $3.80 = $5.17 Labor: 2.5 × $22 = $55.00 Total cost: $60.17 Per stop: $60.17 / 15 = $4.01
Result:2.5 hours | $60 total | $4/stop | 1.4 gallons
Example 2: Rural Large Package Route
Problem:Furniture delivery: 6 stops, 12 miles between, 25 min/stop, 12 MPG truck, $3.50 gas, $28/hr driver.
Solution:Distance: 6 × 12 = 72 miles Drive time: 72 / 40 mph = 108 min (rural speed) Stop time: 6 × 25 = 150 min Total: 258 min = 4.3 hours Fuel: 72 / 12 = 6 gallons × $3.50 = $21.00 Labor: 4.3 × $28 = $120.40 Total: $141.40 Per stop: $23.57
Result:4.3 hours | $141 total | $24/stop | 6 gallons
Example 3: Optimized Multi-Stop
Problem:Before optimization: 20 stops, 4 miles avg. After: 3 miles avg via routing software. Calculate savings.
Solution:Before: Distance: 20 × 4 = 80 miles Fuel: 80 / 18 = 4.44 gal × $3.50 = $15.54 Time: 80/30 + 20×8 = 160 + 160 = 320 min Labor: 5.33 × $25 = $133.25 Total: $148.79 After (optimized): Distance: 20 × 3 = 60 miles (-25%) Fuel: 60 / 18 = 3.33 gal × $3.50 = $11.67 Time: 60/30 + 20×8 = 120 + 160 = 280 min Labor: 4.67 × $25 = $116.75 Total: $128.42 Savings: $20.37/route (14%)
Result:15% optimization | Save $20/route | $400/month for daily routes
Frequently Asked Questions
What is route optimization?
Route optimization uses algorithms to find the most efficient path visiting multiple stops. It minimizes total distance, time, or cost while respecting constraints (time windows, vehicle capacity). Can reduce miles 10-40%.
How much fuel can route optimization save?
Typical savings: 10-30% reduction in miles driven, equating to similar fuel savings. For a fleet doing 50,000 miles annually, 20% reduction saves 10,000 miles and ~$5,000/vehicle in fuel alone.
What's the traveling salesman problem?
TSP is finding the shortest route visiting all cities exactly once. NP-hard for exact solutions, but heuristic algorithms (nearest neighbor, genetic algorithms) find good solutions quickly for real delivery routes.
How do time windows affect routing?
Delivery time windows constrain when stops can occur. They reduce flexibility but match customer needs. Can increase total distance 15-30% vs unconstrained optimization. Wider windows enable better optimization.
What factors besides distance matter for routing?
Turn restrictions, traffic patterns, elevation changes, left turns (UPS avoids them), one-way streets, loading zone availability, driver familiarity, and customer priority all affect optimal routes.
How do I calculate cost per stop?
Total route cost (fuel + labor + vehicle depreciation + insurance) divided by number of stops. Helps price delivery services and identify unprofitable routes.
What tools exist for route optimization?
Google Maps Route Optimization, Route4Me, OptimoRoute, Onfleet, and open-source options like GraphHopper. They handle constraints, real-time traffic, and provide driver apps.
How does stop time affect route efficiency?
Stop time is often 30-50% of total route time. Reducing avg stop time from 10 to 7 minutes on 30-stop route saves 90 minutes daily. Focus on driver training, technology (mobile scanners), and logistics.
What's the difference between route optimization and navigation?
Navigation finds best path between two points. Route optimization sequences multiple stops and finds paths between all pairs. Much more complex - 10 stops has 3.6M possible sequences.
How do electric vehicles change route planning?
EVs require range planning with charging stops. Lower fuel costs but charging time (20-40 min) affects route feasibility. Optimal for short urban routes (<100 miles); challenging for long rural routes.