It is increasingly common for insurance claims to be repudiated, or for drivers to face criminal prosecution, based primarily—sometimes exclusively—on speed data extracted from so-called “GPS tracker reports.” This trend warrants careful scrutiny. While vehicle tracking systems serve a legitimate and valuable purpose in theft recovery and fleet management, their use as forensic instruments for speed determination is frequently misunderstood, overstated, and, in some cases, scientifically indefensible.
Most modern vehicles operating in jurisdictions where vehicle theft is prevalent—South Africa being a prime example—are fitted with tracking and recovery systems, either as original equipment or as aftermarket installations. Insurers often require a “VESA-approved” tracking device as a condition of cover. However, it is critical to understand what this approval does—and does not—signify.
VESA Approval: Scope and Limitations
The Vehicle Security Association of South Africa (VESA) categorises systems broadly as stolen-vehicle recovery systems, fleet management systems, or a combination of both. The standards focus predominantly on installation integrity, recovery capability, tamper alerts, and operational monitoring. They do not certify a device’s suitability or accuracy for forensic speed analysis, nor do they prescribe evidentiary thresholds for legal proceedings.
In practice, VESA compliance addresses functionality and recovery, not measurement accuracy. This distinction is often overlooked, even by experts called to testify in court.
What GPS Tracking Data Really Is
A GPS tracker report is not a direct measurement of vehicle speed. It is a tabulated reconstruction of position estimates over time, derived from satellite timing signals and processed by a relatively simple onboard receiver. The report typically displays time stamps, geographic coordinates, inferred movement, and a calculated speed value.
To assess reliability, it is necessary to understand how GPS technology functions at a foundational level.

GPS Technology: A Simplified Overview
Global Navigation Satellite Systems (GNSS), including GPS (United States), GLONASS (Russia), Galileo (European Union), BeiDou (China), NavIC (India), and QZSS (Japan), operate through three segments:

- Control Segment – Ground-based stations that monitor satellites, update orbital data, and correct timing errors.
- Space Segment – The satellite constellation itself, consisting of multiple generations (“blocks”) with varying accuracy and resilience.
- User Segment – The receiver, such as a vehicle tracking unit, which interprets satellite signals.
The only critical information transmitted by satellites to receivers is time. Position is calculated by comparing the time a signal was sent with the time it was received, estimating distance from each satellite, and then mathematically resolving a position fix.
This process is inherently probabilistic and subject to multiple sources of error.
Sources of GPS Error Affecting Speed Estimates
GPS accuracy is affected by numerous variables, including but not limited to:
- Satellite clock drift and ephemeris errors
- Signal reflection (multipath interference) from buildings, terrain, or vehicles
- Atmospheric delays in the ionosphere and troposphere
- Antenna placement and vehicle-induced shielding
- Electromagnetic interference from nearby infrastructure
- Poor satellite geometry (low dilution of precision)
In moving vehicles, these errors are not static. They fluctuate continuously as the vehicle passes through changing environments—urban canyons, tree cover, tunnels, power lines, or variable terrain.

Accuracy Displayed Is Not Actual Accuracy
Many GPS devices display an “accuracy” value (for example, ±5 metres). This figure represents potential accuracy under optimal conditions, not a verified measure of how close the reported position is to the true position at that moment. It assumes ideal satellite geometry, current ephemeris data, minimal interference, and stable signal reception—conditions that are seldom met consistently in real-world driving.

How Speed Is Actually Calculated
GPS trackers do not measure speed mechanically, electronically, or directly from the vehicle. There is no integration with wheel rotation, drivetrain data, or braking systems. Speed is inferred by dividing the distance between two estimated position fixes by the elapsed time between them.
This calculation rests on several critical assumptions:
- That both position fixes are accurate
- That time stamps are precise and synchronised
- That the vehicle travelled in a straight line between fixes
- That no signal loss, interpolation, or map-matching occurred
These assumptions are rarely valid in complex driving environments.
For example, if a tracker logs position points at 60-second intervals, the system measures straight-line distance (“as the crow flies”) between those two points. If the vehicle followed a curved road, navigated bends, or changed elevation, the actual distance travelled may be substantially greater. Conversely, signal jitter can exaggerate distance between points, producing artificially high speeds.

In controlled analyses of real-world tracker data, deviations of 50% to 80%—both under- and over-estimation—have been observed when tracker-derived speeds are compared to independently verifiable measurements.

Why Trackers Work for Recovery but Fail for Forensic Speed Analysis
Tracking systems are designed to locate vehicles to within a general vicinity, not to produce litigation-grade kinematic data. Small, fluctuating positional errors are inconsequential when the goal is to guide a recovery team to a stolen vehicle. They become critically problematic when used to allege unlawful speed, reckless driving, or material breach of an insurance policy.
Courts in South Africa have repeatedly emphasised that expert conclusions must be reliable, testable, and grounded in sound methodology. Opinion evidence that is speculative or based on unverified assumptions may be rejected or given little weight (see S v Van der Sandt 1998 (2) SACR 116 (W)). In the United States, similar principles apply under Daubert v Merrell Dow Pharmaceuticals, Inc. and its progeny, requiring demonstrable scientific validity and known error rates.
Evidentiary Implications
Tracker reports, when used in isolation, seldom satisfy these standards. Without corroboration from physical evidence, video analysis, vehicle data with known provenance, or validated testing, such reports should be treated with caution.
Where speed is a material issue—whether in criminal prosecution, civil liability, or insurance repudiation—the proper approach is comparative and contextual analysis. Tracker data may form one input among many, but it should never be treated as determinative on its own.

Conclusion
GPS tracking systems are valuable tools for asset recovery and fleet oversight. They are not precision instruments for forensic speed determination. Their outputs are inferential, assumption-dependent, and vulnerable to significant error. When tracker reports are relied upon to allege speeding, they demand rigorous scrutiny, informed cross-examination, and independent verification against real-world evidence.
In matters where liberty, liability, or substantial financial exposure is at stake, reliance on unverified tracker-derived speed data is not only scientifically questionable—it is legally precarious.