Lesson 1Trip segmentation and geo-fence events: start/stop detection, dwell time, zone entry/exitExplains how raw location points are grouped into trips and stops using speed, ignition, and geofences. Covers start and stop detection, dwell time, zone entry and exit events, and configuration trade-offs for different fleets.
Trip start and stop detection logicStop and dwell time computationGeofence types and shape modelingZone entry, exit, and dwell eventsTuning thresholds for use casesLesson 2Vehicle diagnostics and fault codes (DTCs): reading, interpreting, and priority mappingExplores vehicle diagnostics and DTCs, including how codes are read, interpreted, and prioritized. Covers standard and manufacturer-specific codes, severity mapping, and workflows for maintenance and remote troubleshooting.
OBD-II and J1939 DTC formatsReading and clearing fault codesMapping codes to componentsSeverity and priority classificationMaintenance and alert workflowsLesson 3Engine parameters via OBD-II/CAN: fuel level, fuel consumption, RPM, engine hoursExplores engine data from OBD-II and CAN, including fuel level, fuel use, RPM, and engine hours. Explains how these parameters are acquired, normalized, and used for maintenance, efficiency analysis, and driver behaviour insights.
OBD-II and CAN bus basicsSupported PIDs and parameter mappingFuel level and fuel consumption modelsRPM, load, and engine hours usageNormalization across vehicle brandsLesson 4Vehicle speed and heading: sources, accuracy, and sampling considerationsDetails vehicle speed and heading fields, their sources, and sampling strategies. Compares GNSS speed with wheel-based signals, discusses heading smoothing, and explains how these metrics support safety, routing, and analytics.
GNSS versus vehicle bus speedHeading, course over ground, and bearingSampling rate and aliasing issuesSpeed smoothing and spike removalUse in routing, safety, and scoringLesson 5Auxiliary sensors and inputs: temperature sensors, cargo sensors, PTO, seatbelt statusExamines auxiliary sensors and digital inputs, including temperature, cargo, PTO, and seatbelt status. Explains wiring, calibration, and how these signals enrich telematics data for cold chain, safety, and utilization analytics.
Digital and analog input wiringTemperature and cold chain monitoringCargo and door cargo sensorsPTO engagement and work hoursSeatbelt and safety interlocksLesson 6Door status, ignition on/off, and odometer: uses for utilization and billingCovers door, ignition, and odometer signals and how they support utilization, billing, and security. Explains signal sources, debouncing, tamper detection, and combining events with GPS data to derive trips and usage metrics.
Ignition sources and on/off detectionDoor open/close and security use casesOdometer sources and drift handlingTrip-based utilization and billingTamper and misuse detection rulesLesson 7Global Navigation Satellite System (GNSS) principles and position fixes (latitude, longitude, timestamp)Introduces GNSS fundamentals and how receivers compute position, time, and velocity. Details latitude, longitude, altitude, and timestamp fields, plus dilution of precision, fix quality, and multi-constellation benefits for telematics.
GNSS constellations and signalsTime-of-flight and trilateration basicsLatitude, longitude, and altitude fieldsFix quality, DOP, and satellites usedTimestamping and time synchronizationLesson 8Data quality attributes: timestamps, sampling interval, accuracy, precision, and plausibility checksFocuses on data quality for telematics streams, including timestamps, sampling intervals, accuracy, precision, and plausibility checks. Shows how to detect gaps, noise, and impossible values to improve analytics and reporting.
Timestamp sources and clock driftSampling interval and resamplingAccuracy, precision, and resolutionOutlier and plausibility detectionHandling gaps and corrupted recordsLesson 9Accelerometer and event detection: harsh braking, acceleration, cornering, rolloverDescribes accelerometer data and how events such as harsh braking, acceleration, cornering, and rollover are detected. Covers axes, calibration, filtering, thresholds, and mapping events to safety scores and alerts.
Accelerometer axes and orientationFiltering noise and sensor driftHarsh braking and acceleration rulesCornering and lateral g-force eventsRollover detection and crash flagsLesson 10Driver ID and driver log integration: linking events to drivers and duty timesExplains how driver identification and logs are integrated with telematics data. Covers keyfobs, RFID, and app-based IDs, linking events to drivers, duty and rest times, and compliance with hours-of-service regulations.
Driver ID methods and hardwarePairing drivers with vehiclesLinking events to specific driversDuty status and hours-of-serviceReporting and compliance audits
