5332 Hillandale Rd, Davenport IA
Driving Hazard Scenarios: Weather & Night Conditions
5332 Hillandale Rd, Davenport IA
Fleet & Transportation Safety
Tri-City Electric Co.
Quad Cities, Iowa
Live Deployment
Tri-City Electric Co. deployed CoAxiom's browser-based vehicle inspection simulation platform across their Quad Cities driver fleet in July 2026. Drivers complete pre- and post-trip inspection simulations covering three vehicle types — pickup trucks, box trucks, and stake beds — as part of their regular workday, without leaving the job site and without installing any software. Each session walks the driver through a systematic inspection of their assigned vehicle, identifying faults across lighting, cargo securement, wheels and tires, windows and mirrors, Tommy Gate operation, cone placement, and engine compartment checks. Performance is scored in real time, and every session feeds live data directly into the fleet's administrative dashboard.
The Tri-City deployment covers three distinct vehicle configurations — each with its own 3D model, inspection checklist, and fault scenarios tailored to Tri-City's actual equipment and procedures. Drivers train on the same vehicles they operate in the field, inspecting the same components they check every day, against the same standards their safety program requires. The result is training that feels immediately relevant rather than generic — and data that reflects actual fleet-wide compliance patterns rather than self-reported completion logs.
Pre- and post-trip inspection sims covering three vehicle types: pickup, box truck, and stake bed.
Real-time scoring and instant feedback on every inspection — no instructor required.
Live fleet analytics dashboard: compliance rates, failure patterns, and score trends by vehicle type.
No software to install — runs in any browser on any device, on the job site or in the office.
Since launch, Tri-City Electric's fleet has logged consistent inspection activity across all three vehicle types, with average compliance scores trending upward over the first weeks of deployment. Analytics reveal that lighting and engine compartment checks account for the highest share of inspection failures — actionable intelligence that allows safety coordinators to target training interventions where they matter most. Post-trip scores consistently outperform pre-trip scores, suggesting that repeated sim exposure is improving drivers' inspection thoroughness over time. The platform is generating the kind of granular, fleet-specific data that no slide deck or video module can produce.
