Vehicle Performance

All data is passed through our detailed analysis process which ‘cleans’ the data, resolving any transactions which have been affected by incorrect odo entries and highlighting transactions that result in abnormally high or low performance figures. Sudden shifts in performance are flagged so as to bring attention to possible operational changes such as route or payload alterations. More gentle shifts in performance are likewise flagged as a gradual decrease in vehicle performance could potentially point to mechanical degradation, allowing fleet managers and engineers alike to take action before a serious breakdown occurs.

As many operational factors can affect the performance of a vehicle from journey to journey, Fleetstat operates a rolling fifty transaction system when compiling vehicle data – this allows a stable figure for each vehicle to be established that irons out the inconsistencies that arise from systems that simply use weekly MPG figures. As Fleetstat analyses each vehicle journey by journey, fuelling discrepancies such as short filling and fuel theft are easily detectable, whereas weekly MPG figures may mask these issues. The performance of individual vehicles can fluctuate greatly from week to week, journey to journey, and where weekly MPGs give a mixed and confusing picture of vehicle performance, the rolling fifty transaction window used by Fleetstat allows a clear and concise performance figure to be attained even with haphazard data.
Vehicle 1Pinpointing exactly when mechanical degradation began can also help engineers identify the root cause and prevent the same issue in other vehicles in their fleets. The chart shows how the performance of a vehicle begins to vary more and more from journey to journey as the issue steadily worsens.
Vehicle 2The impact of differing routes on a vehicle’s performance can be masked by ‘average MPG’ calculations. Presenting the performance data in this way allows fleet engineers to manage not only a ‘bottom line’ MPG figure but to also highlight operational factors that could otherwise go unnoticed.
Vehicle 3Journey by journey analysis is also highly effective for monitoring operational changes such as payload and route switching. By providing our customers with detailed information about implemented operational changes, fleet engineers can fine-tune each route for optimal fuel efficiency.
Vehicle 1Gradual performance decline is a strong indicator of mechanical degradation. The processes used in Fleetstat’s analysis automatically flag any vehicle which is currently affected by such a decline. Engineers are then able to take that data and assess the vehicle to avert any issues before they escalate.