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Commercial Trucking
Real-time telemetry and control for trucking fleets
AutoPi collects CAN/J1939, OBD-II, GPS and environmental sensor data from tractors, trailers and reefers. Devices run at the edge, buffer when offline, and sync to the cloud over secure channels. You define loggers, thresholds and actions; the platform records events, creates alerts, and exposes data through APIs and exports.
Typical configuration includes PID/CAN signal sampling at 1–10s intervals, burst capture on fault, trip segmentation from ignition or EV state, and geofence-based policies for depots and customer sites. Templates apply per OEM and model year so mixed fleets can share one control plane without losing signal depth. All configuration changes are versioned with author, timestamp and diff for full auditability.
The system supports multiple network protocols including CAN-FD, J1939, ISO 14229 (UDS) and ISO 15765. Data from these channels can be combined with GPS and accelerometer data to build a continuous timeline of vehicle performance, cargo conditions and driver activity. Each message is timestamped at the source, enabling sub-second event correlation across vehicles in the fleet.
Data is stored locally on the device when cellular connectivity is unavailable, ensuring zero data loss during coverage gaps. Once reconnected, buffered data is transmitted using a compressed and signed protocol. This guarantees delivery integrity even for large fleets operating across regions with limited coverage. Transport encryption and per-device authentication prevent tampering or injection of unauthorized data.
The platform can integrate directly with existing systems via REST, MQTT, or webhook-based APIs. Users can export telemetry to fleet management software, maintenance systems, or analytics pipelines. Real-time alerts, diagnostics and firmware updates can all be automated through rule-based jobs and OTA templates, minimizing manual intervention while maintaining full operational control.
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Truck Performance Monitoring
Capture engine and powertrain metrics from CAN/J1939 and OBD-II. Configure sampling rates, burst capture on error, and rules on coolant temp, oil pressure, battery voltage and DTC patterns. Trigger work orders and attach evidence (timestamp, VIN, PID values, geo position) to each alert.
Cargo Monitoring
Log temperature, humidity, door state and shock for each load. Set per-lane or customer thresholds and receive excursions in real time. Generate shipment PDFs or JSON exports with sensor traces, setpoints, and handling notes for audit and claims.
Driver Behavior Analysis
Derive events for harsh acceleration/braking, overspeed and idling. Map drivers via RFID/Bluetooth or assignment. Produce adherence metrics per driver, lane and vehicle class. Optionally feed coaching systems through webhooks.
Route Optimization
Define geofences for depots and customer sites. Track dwell time, on-time arrival and route deviations. Export trip summaries and location events to TMS/BI. Use scheduled jobs to push lane KPIs daily or after trip_end.
Real-Time Monitoring
Real-time truck performance monitoring
Devices read vehicle networks (CAN, CAN-FD, J1939, ISO 15765) and GPS at configurable intervals. Edge filters reduce bandwidth by aggregating and compressing non-critical signals while retaining full-rate data for thresholds and faults. When connectivity drops, data buffers locally and syncs on reconnection.
Fleet configuration is template-driven: loggers, triggers, jobs and returners are versioned and applied per OEM/model year. OTA updates support staged rollout and rollback. Every change is stored with author, timestamp and diff for audit.
Typical triggers include repeated DTCs over a window, temperature gradients exceeding a slope, voltage sag during crank, and coolant/oil threshold crossings. Each trigger can execute a job (diagnostic capture, service command) and emit notifications to email, webhook or MQTT with deduplication and retry policies.
Driver Monitoring
Cargo and driver monitoring with audit trails
Pair tractors and trailers automatically and log custody events. For cargo, define limits per load and record excursions with sensor traces and GPS. For drivers, aggregate behavior events and correlate with fuel and maintenance outcomes. Reports can be scheduled to PDF/CSV or delivered as JSON to downstream systems.
Access is controlled by roles and nested accounts. Data access follows tenant boundaries. All actions (command execution, config changes, firmware pushes) are logged with device ID, user, and result code.
Integration options include REST pull, MQTT topics with QoS and retained messages, and webhook callbacks with signed requests. For bulk analytics, scheduled exports provide partitioned files by day, vehicle group or customer, suitable for data lake ingestion.
Something unclear?
Frequently asked questions
trip_end. Rules can be staged on a subset of vehicles and rolled out fleet-wide after validation. Actions include diagnostic capture, webhook to TMS, or placing the vehicle into a maintenance state with notifications to a defined channel.
Business solutions
Solutions for Commercial Trucking
All of our business solutions are customizable to meet your requirements.
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