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Safety Monitoring System of CAVs Considering the Trade-Off between Sampling Interval and Data Reliability
1Center for Connected and Automated Driving Research, Korea Transport Institute, 370 Sicheong-daero, Sejong 30147, Korea.
Sensors (Basel, Switzerland)
|May 28, 2022
Summary
Optimizing connected automated vehicle (CAV) data transmission requires balancing communication efficiency and accuracy. A 0.2s sampling interval is recommended for cooperative intelligent transportation systems (C-ITS) to ensure safety performance indicators are met.
Area of Science:
- Transportation Engineering
- Public Health
- Data Science
Background:
- Urban transportation safety is a global public health concern.
- Connected automated vehicles (CAVs) and cooperative intelligent transportation systems (C-ITS) offer solutions for enhanced safety.
- Massive data generation by CAVs challenges existing communication networks, necessitating data sampling.
Purpose of the Study:
- To design a C-ITS architecture and data flow for CAV safety monitoring.
- To determine the optimal data sampling interval for efficient transmission without compromising accuracy.
- To analyze the trade-off between communication efficiency and safety performance indicator accuracy.
Main Methods:
- Developed C-ITS architecture and data flow with defined messages and protocols.
- Introduced three safety performance indicators: severe deceleration, lateral position variance, and inverse time to collision.
- Conducted field tests with CAV sensors and applied the Kolmogorov-Smirnov test for data consistency analysis.
Main Results:
- Analyzed the impact of sampling intervals on message delay, data accuracy, and communication efficiency (data compression ratio).
- Field tests determined an optimal sampling interval for data transmission.
- The Kolmogorov-Smirnov test confirmed statistical consistency between sampled and raw data.
Conclusions:
- A sampling interval of 0.2 seconds is recommended for optimizing the overall efficiency of CAV safety monitoring systems.
- This interval effectively balances data transmission needs with the accuracy required for safety performance indicators.
- The study provides a framework for managing large data volumes in C-ITS for improved urban transportation safety.
Keywords:
connected and automated vehiclescooperative intelligent transportation systemdata reliabilitysafety monitoring systemMore Related Videos
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