Truck route planning
Destination search, route calculation and alternatives inside the Android app.
A working Android MVP built for European truck drivers: truck-aware routing, traffic, parking, driving-time planning and an AI co-driver in one cab interface.

These short captures show the actual interface used during development and field testing. They are intentionally unpolished product evidence, not rendered concept videos.
Destination search, route calculation and alternatives inside the Android app.
Turn guidance, speed, traffic context and driving-time information on the map.
Parking discovery, selection and routing through the in-cab workflow.
The MVP combines commercial map data, a truck profile and AI actions. Production claims are deliberately separated from features that still require physical validation.
Routes use vehicle dimensions and preferences, with traffic-aware alternatives and turn guidance.
Truck parking and fuel POIs can be discovered, compared, selected and used as destinations or stops.
Natural-language requests can trigger structured map actions while retaining a deterministic routing layer.
Regulation 561/2006 planning surfaces 4.5-hour driving windows, rest points and parking-before-break workflows.
Traffic, speed cameras, incidents, user reports and selected truck restrictions are combined as map context.
BLE connection and packet capture exist. Reliable live SE5000/VDO HOS decoding still requires protocol validation on physical tachograph hardware.
TruckExpoAI is not a prompt wrapper. It joins device location, route data, driver-time logic, AI tool calls and a production backend.
MVP notice: route, traffic, AI and restriction data can be incomplete. The driver remains responsible for road signs, legal compliance and safe vehicle operation.