When GPS is spoofed, your delivery zones shift by 30 km.
Test how your last-mile app handles position spoofing, geofence failures, and accuracy lies — before your fleet encounters them in the field.
What breaks when GPS fails
GPS failures in last-mile delivery aren't about the map being wrong. They cascade into operational failures your app code never sees coming.
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Wrong delivery zone assignment
A spoofed position shifts your driver's reported location by tens of kilometres. Your backend assigns the wrong zone, dispatches the wrong driver, and the package never arrives — before a single line of app code is buggy.
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Geofences that never fire
Proof-of-delivery depends on geofence triggers. When reported accuracy is 5 m but actual error is 400+ m, the driver never enters the geofence — even standing at the door. Disputes follow.
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ETA calculations gone wrong
Intermittent GPS loss during delivery routes creates position gaps. Stop-sequence algorithms break. ETAs drift. The customer gets a "delivered" notification while the driver is still three blocks away.
Recommended scenarios for delivery apps
These three scenarios cover the GPS failure modes most likely to affect last-mile operations. All are based on documented real-world interference events.
gnss/gulf-spoofing-2026
Gulf Spoofing 2026
Coordinated position spoofing in the Persian Gulf — reported position shifts by up to 30 km over 120 seconds while accuracy and satellite count stay normal. Tests whether your app detects or trusts the false fix.
Relevant for: zone assignment, driver dispatch, fraud detection
gnss/accuracy-lie
Accuracy Lie
The receiver reports 5 m accuracy while actual position error is 400+ metres. Tests geofence logic that trusts the accuracy field — the most common trigger for failed proof-of-delivery.
Relevant for: geofence triggers, proof-of-delivery, pickup matching
gnss/flicker
GPS Flicker
Rapid GPS availability oscillation — signal drops in and out every 8–15 seconds. Tests how your app handles a position stream that's unreliable but not fully lost. Common in dense urban delivery areas.
Relevant for: route tracking, stop detection, ETA calculation
Also worth running with the Team plan
The multi/everything-fails scenario combines GPS loss, accelerometer noise, and barometer drift simultaneously — stress-testing dead reckoning and sensor fusion fallbacks that delivery apps increasingly rely on in tunnels and underground parking.
Add GPS resilience to your CI pipeline
Run delivery-specific scenarios on every PR. Fail the build if position error exceeds your geofence tolerance. No test infrastructure required — works with any Android emulator.
Run all three delivery scenarios as a suite
sensorchaos suite \
--scenarios gnss/gulf-spoofing-2026,\
gnss/accuracy-lie,\
gnss/flicker \
--device emulator-5554 \
--assert-max-position-error-km 1 \
--exit-code-on-failTrack resilience scores over time
# Save a baseline after a good run
sensorchaos suite ... --save-baseline baseline.json
# Compare on every PR
sensorchaos suite ... \
--compare-baseline baseline.json \
--junit-report results.xmlFind geofence failures before your drivers do.
Start a 14-day free trial. No credit card required. Works with any Android emulator in under 5 minutes.