You have a driving style whether or not you are aware of it. The way you accelerate from junctions, the point at which you start braking, how tightly you follow the vehicle ahead, how much your speed varies on a motorway cruise — these patterns are consistent and identifiable, and they have measurable effects on fuel economy, tyre wear, passenger comfort, and safety. GPS trip data lets you see those patterns clearly, many of them for the first time.
What your data actually captures
Every GPS-recorded trip contains, at minimum, a time-stamped position trace. From that trace, a well-built tracking app derives speed at every moment, acceleration and deceleration rates, average and top speeds on each road segment, and the distribution of time spent at different speed bands. That is more information about a single drive than most people accumulate in a year of intuitive driving without a tracker.
Smoothness: the most revealing metric
Smoothness measures the rate of change of speed — specifically, how often and how sharply your velocity shifts during a trip. A smooth driver makes gradual transitions: steady acceleration to cruising speed, a progressive reduction well before a bend or junction, gentle re-acceleration afterwards. A less smooth driver peaks and troughs repeatedly, with hard acceleration followed by late braking, even on roads that do not require it.
The smoothness score in PACE is calculated from the frequency and severity of acceleration events within a recorded trip. A consistent, gentle pattern earns a high score. Reviewing the score alongside your route map shows exactly which sections dragged it down, which is far more actionable than a single aggregate number at the end of the drive.
Reading the speed trace
A speed trace is a graph of your speed against time or distance for the trip. On a smooth motorway run, it looks nearly flat: a steady cruise close to the limit with small dips at junctions and merges. In urban driving, peaks and troughs are unavoidable, but the shape of each peak tells a story. A sharp spike followed by an immediate descent means hard acceleration into a short gap. A broad, gradual peak means you smoothly matched the flow of traffic. On a twisty country road, the trace reveals whether you carry speed intelligently into bends or brake repeatedly late and accelerate out of every corner.
Braking patterns
Braking data is one of the most revealing aspects of trip analysis. Hard, late braking is the signature of a driver who was not reading the road — something ahead surprised them. Early, gentle braking is the mark of anticipation and forward planning. If your trip history consistently shows sharp deceleration events, identifying where they occur on the map usually reveals the cause: a junction you routinely approach too fast, a roundabout that catches you late, or a section where following distance is too short.
Comparing the same route over time
One of the most powerful things you can do with GPS data is record the same regular route — a daily commute, a favourite weekend road — repeatedly and compare the traces across weeks or months. If your smoothness score on that route has improved steadily, you can see the change directly rather than just feeling it. PACE stores your complete trip history so this comparison is always available, and the improvement over time is one of the most satisfying things the data can show you.
Using the score to set goals
A numerical driving score turns an abstract quality into something pursuable. Setting a concrete target — a smoothness score above 85 on your regular commute for two consecutive weeks, for example — gives you a defined goal that the app can verify objectively. That is the same principle athletes use with pace targets or power output goals, applied to a skill that almost everyone practises daily but almost nobody trains deliberately. A trip tracker with a scoring system makes the feedback loop tight enough to actually change behaviour.
Fuel economy as the real-world proof
The final verification that your analysis is working comes at the fuel pump. Smooth, anticipatory driving consistently produces better fuel economy than aggressive driving on the same route, typically by 10–25% in real-world measurements. If your smoothness score improves and your consumption per fill-up drops, the data is doing its job. Record both metrics and the correlation usually becomes visible within a month of consistent tracking — a concrete link between what you see in the app and what you spend at the pump.