Free tool
How much is dead mileagecosting your fleet?
Estimate your monthly empty-mile fuel cost and how much AI proximity dispatch could recover. Slide the inputs, see the answer in real time.
Your fleet inputs
Industry data: the average taxi fleet runs 25–40 km/day of dead mileage per driver. Fuel cost per km varies by market, vehicle type and EV mix — tune it to your real numbers.
$5,940
Fuel burned on empty miles, every month
Monthly empty-mile fuel cost
An estimate, not a quote — book a demo and we’ll model your real data.
25–40 km
Typical dead mileage per driver, per day
~23%
Recoverable with AI proximity dispatch
30 min
Demand forecast horizon
14 days
Typical TaxiDex go-live
How AI cuts dead mileage
Where the 23% recovery comes from
The savings above are not a slogan — they are the sum of three things working together on every shift: assigning the next job earlier, repositioning into demand, and coaching drivers out of empty areas.
Proximity dispatch
TaxiDex assigns the next ride before the current drop-off completes, whenever a nearby pickup matches a driver's projected position. Instead of finishing a job and driving back empty, the car rolls straight onto its next fare — the single biggest lever on dead mileage.
- Auto-dispatch rules engine scores candidates by ETA, not just radius
- Driver pre-assignment chains back-to-back jobs in the same direction
- Dispatchers override anything from the drag-and-drop dispatch board
Demand forecasting
AI demand forecasting steers drivers toward high-demand zones up to 30 minutes ahead, so they reposition into work instead of drifting into a quiet area and waiting empty. Fewer speculative miles, shorter pickup gaps, higher utilisation per shift.
- Predicts pickup hotspots from historical booking patterns
- Surfaces the next likely demand window before drivers go idle
- Pairs with zones and surge rules so repositioning pays off
Driver coaching
The driver app surfaces the insights that change behaviour on the road: the best zones to sit in, the peak times worth working, and avoid-zone alerts for areas with no demand. Coaching turns the forecast into fewer empty kilometres, driver by driver.
- Best-zone and peak-time guidance in the driver's pocket
- Avoid-zone alerts keep cars out of dead areas
- Earnings and utilisation reports show what's working
Seen on the live console
Empty miles are a dispatch problem
Dead mileage is decided at the moment a job is assigned. TaxiDex makes that moment smarter — on the same operations map your dispatchers would run every day.
Live operations map
Assign by ETA, not just radius
The live operations map shows every driver as a marker with a status halo, their current job, and where they are projected to be. The auto-dispatch rules engine uses that picture to chain rides together — assigning the next pickup to the car already heading that way instead of pulling an empty vehicle across town.
When a job needs a human touch, dispatchers drag it between drivers on the dispatch board, with the same proximity context in front of them. Every empty kilometre your fleet avoids was a decision made right here, on this screen.
AI demand forecasting
Reposition into demand, before it lands
Forecasting predicts where the next pickups will come from and steers drivers there ahead of time, so cars arrive into work rather than drifting into a quiet zone and waiting empty. Paired with zones, zone-to-zone pricing and surge rules, repositioning stops being a guess and starts being a paid move.
And because cutting empty miles cuts fuel, the same logic feeds your sustainability numbers: TaxiDex tracks CO2e per trip and supports EV fleets, so a lower fuel bill and cleaner emissions reporting come from the exact same change.
Quantify, then act
From estimate to recovered revenue
The calculator sizes the problem in 30 seconds. A demo turns it into a plan.
Every empty kilometre is fuel, vehicle wear and driver time spent earning nothing. Across a full fleet, working a full month, that quietly adds up to a five- or six-figure annual leak — money that never appears on an invoice because it never made it onto a meter.
TaxiDex attacks that leak at the source: proximity dispatch assigns the next ride before the current drop-off, AI demand forecasting repositions drivers into demand, and in-app coaching keeps cars out of dead zones. The result is fewer empty miles, higher utilisation per shift, and a recovery our model puts at around 23% of your empty-mile fuel.
Want to validate these numbers against your own data? Book a 30-minute demo. We plug your historical trips into the model, quote the exact dead-mileage savings, and lay out a migration plan that gets most fleets live in 14 days with zero downtime.
Dead mileage, answered
Common questions
What the empty-mile numbers mean, where the recovery comes from, and how to turn the estimate into a quote.
What is dead mileage?
Dead mileage (also called deadhead or empty miles) is any distance a vehicle drives without a paying passenger on board — the empty return after a drop-off, repositioning to a rank, or cruising for the next fare. The fuel, wear and driver time are all real costs that earn nothing. For most taxi fleets it quietly runs at 25–40 km per driver per day.
How does the dead mileage calculator work?
It multiplies your active drivers by working days per month, dead kilometres per driver per day, and fuel cost per km to estimate your monthly empty-mile fuel loss, then annualises it. It also applies a documented ~23% recovery from AI proximity dispatch to show the savings that smarter assignment can realistically return. Slide the inputs and every number updates instantly.
Where does the 23% recovery figure come from?
It reflects the empty miles that disappear when three TaxiDex capabilities work together: proximity dispatch (assigning the next ride before drop-off), AI demand forecasting (repositioning drivers into demand ahead of time), and in-app driver coaching (best zones, peak times, avoid-zone alerts). The exact figure varies by fleet and geography — that is why we recommend validating it against your historical data on a demo.
Is this an exact quote of my savings?
No — it is a fast estimate to size the opportunity. On a 30-minute demo we plug your real historical trip data into the model and quote the precise dead-mileage savings for your operation, alongside a 14-day go-live and migration plan from systems like Autocab, iCabbi or Cordic.
Does cutting dead mileage help with sustainability?
Yes. Fewer empty kilometres means less fuel and lower emissions per completed trip. TaxiDex tracks CO2e per trip and supports EV fleets, so the same proximity-dispatch logic that cuts your fuel bill also improves the sustainability metrics you report to corporate and public-sector clients.
Want to validate these numbers?
30 minutes. We'll plug your historical data into our model and quote the exact dead-mileage savings — then show you the recovery live on the dispatch console.