Ensuring Compliance with UNECE R169 Using Sibros Deep LoggerEnsuring UNECE R169 Compliance with Sibros Deep Logger – Advanced Vehicle Data Logging Solution
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February 12, 2025

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Ensuring Compliance with UNECE R169 Using Sibros Deep Logger

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The United Nations Economic Commission for Europe (UNECE) Regulation No. 169 (R169) requires the installation of Event Data Recorders (EDRs) in heavy-duty vehicles (M2, M3, N2, N3 categories) to collect and store critical crash-related data. These devices are instrumental in improving vehicle safety, supporting accident investigations, and ensuring regulatory compliance across the automotive industry.

By capturing detailed information during crash events, EDRs help stakeholders - such as vehicle manufacturers, regulators, and insurers - understand the circumstances surrounding accidents. This data can also be leveraged to enhance vehicle design, improve active safety systems, and reduce future incidents.

The Role of Sibros Deep Logger in Meeting R169 Standards

Sibros Deep Logger is an advanced connected vehicle data logging solution that simplifies compliance with R169 through real-time, event-driven data collection and analysis. Unlike conventional EDR solutions that operate in isolation, Deep Logger integrates seamlessly with vehicle systems to capture, store, and transmit data for critical events while meeting the stringent technical requirements outlined in R169.

Key capabilities of Deep Logger that support R169 compliance include:

  • Real-Time Data Capture and Transmission – Ensures critical event data is recorded instantly, minimizing the risk of data loss.
  • Event Trigger Mapping – Accurately associates captured data with specific crash events or triggers (e.g., sudden deceleration, airbag deployment).
  • Secure Data Storage and Access – Meets global security standards for storing sensitive crash data while enabling authorized access for investigations and regulatory reporting.
  • Advanced Analytics and Visualization – Provides tools for analyzing crash data trends and generating actionable insights for improving vehicle safety and compliance readiness.

Mapping Key Event Triggers to Captured Data

Compliance with R169 requires precise identification and mapping of key event triggers to the data being logged. Sibros Deep Logger excels in this area by:

  • Capturing data points such as vehicle speed, braking patterns, acceleration, impact severity, and airbag status.
  • Ensuring the data is timestamped and aligned with the exact event occurrence for easy correlation and post-event analysis.
  • Offering flexible integration with off-board cloud systems for long-term storage and compliance reporting.

Why Choose Sibros for R169 Compliance?

With Sibros Deep Logger, manufacturers can go beyond meeting minimum regulatory standards by adopting a future-ready data architecture. The platform’s scalability and integration capabilities position it as a comprehensive solution for continuous vehicle improvement, predictive safety analytics, and regulatory audit readiness.

How Sibros’ Deep Logger addresses R169

1. Real-time Data Collection & Storage
  • Captures high-frequency vehicle telemetry (e.g., speed, braking, steering, sensor states) based on pre-set event triggers.
  • Stores time-synchronized, non-volatile crash data, ensuring no data loss after an impact.

2. Intelligent Event-Based Logging

  • Supports on-change and condition-based logging, ensuring only critical crash-related data is recorded to optimize storage.
  • Reduces bandwidth consumption while maintaining rich forensic datasets for crash investigations.
3. Compliance with UNECE R169 Data Integrity Requirements
  • Uses edge-filtering and secured cloud storage to protect logged data from tampering or loss.
  • Supports event locking to retain critical accident-related data for regulatory and legal use.
4. Secure Data Access & Integration
  • Ensures compliance with cybersecurity standards, allowing OEMs, fleet operators, and regulatory bodies to securely access EDR data.
  • Enables remote over-the-air (OTA) logging configurations to adjust event parameters dynamically.

Mapping UNECE R169 Event Triggers to Sibros Deep Logger Data

The following table aligns R169 event triggers with the corresponding data fields captured by the Sibros Deep Logger:

R169 Event Trigger Data Captured by Sibros Deep Logger Notes
Sudden Deceleration (Hard Braking) - Vehicle Speed (before, during, after event)
- Brake Pedal Position & ABS Activation
- Wheel Speed Sensors
Required for crash dynamics analysis, determines braking force applied, evaluates traction & stability
Airbag Deployment - Airbag Deployment Status (time & location)
- Seatbelt Usage Status
- Occupant Detection System
Confirms crash severity, helps assess occupant safety, identifies occupied seats
Collision with Another Object - Lateral & Longitudinal Acceleration (G-forces)
- Yaw Rate & Steering Wheel Position
- GPS Location & Time Stamp
Measures crash impact, determines evasive maneuvers, provides exact crash location
Rollovers or Vehicle Instability - Roll Rate & Pitch Rate
- Suspension Data & Load Sensors
Detects vehicle flipping or tilting, determines weight distribution changes
ABS or ESC System Activation - ESC (Electronic Stability Control) Status
- Brake Pressure & ABS Activation Data
Indicates loss of traction, confirms anti-lock braking intervention
Unintended Acceleration or Stuck Throttle - Throttle Position Sensor
- Engine RPM & Gear Selection
Identifies potential runaway vehicle events, detects unexpected acceleration patterns
Post-Crash Vehicle Behavior - Ignition Status & Fuel Cutoff Activation
- Door Open Status
Confirms vehicle shutdown or continued movement, identifies if passengers exit safely


Summary of Data Collected Per Trigger

R169 Event Trigger Summary of Data to be Collected
Sudden Deceleration (Hard Braking) Vehicle speed (pre, during, post-event), brake pedal position, ABS activation, wheel speed sensors, traction control status
Airbag Deployment Airbag deployment time & location, seatbelt status, occupant detection, impact force data, crash severity analysis
Collision with Another Object Lateral & longitudinal acceleration (G-forces), yaw rate, steering angle, GPS coordinates, timestamp, crash severity assessment
Rollovers or Vehicle Instability Roll rate, pitch rate, suspension load sensors, traction control intervention, stability control system data
ABS or ESC System Activation Brake pressure, ABS activation status, ESC (Electronic Stability Control) engagement, wheel speed differential, traction loss detection
Unintended Acceleration or Stuck Throttle Throttle position, engine RPM, gear selection, brake override data, accelerator pedal sensor readings, emergency braking system intervention
Post-Crash Vehicle Behavior Ignition status, fuel cutoff activation, door open status, post-crash vehicle motion analysis, emergency response system activation


Conclusion

By integrating the Sibros Deep Logger into vehicle systems, manufacturers can seamlessly comply with UNECE R169 while also unlocking deeper insights into vehicle behavior, crash dynamics, and post-incident analysis. The advanced data logging capabilities ensure that only relevant, high-quality data is captured, stored, and made accessible in a secure manner.

This approach not only aids in regulatory compliance but also enhances road safety, improving accident investigations and facilitating safer vehicle designs.

For more information on how Sibros Solutions can help with UNECE R169 compliance, visit www.sibros.tech/deep-logger.

Mahesh Venugopala
Mahesh Venugopala
Mahesh Venugopala serves as Senior Director of Security at Sibros where he is repsonsible for stewarding cybersecurity practices, methods and frameworks across the company's suite of cloud-based and embedded software products. Prior to joining Sibros, Mahesh was responsible for security at Autonomic (a subsidiary of Ford), a SaaS data platform managing billions of connected vehicle signals and events per day. Mahesh has over 20 years of experirence across roles in product security, security architecture, cryptography, key management, encryption in transit and rest, cloud security, secure software development life cycle (SDLC), and secure DevOps.