Using mobile sensor data to encourage safer driving
Oct 25, 2022Laiyi Lin

Summary
This post details how Grab uses telematics data from driver and delivery partners' mobile phones to encourage safer driving. It explains the process of collecting sensor data (accelerometer, GPS) and using custom algorithms to infer vehicle acceleration from phone sensor data, accounting for orientation and data quality variations. The post also describes how unsafe driving instances (braking, acceleration, cornering) are detected using thresholding and how speeding is identified by comparing GPS speeds with map data and aggregated speed statistics. The aim is to proactively detect and mitigate unsafe driving behaviors to reduce accidents and improve user experience.
More from the Data Production Issue (DPI) Operationalization trail
- Data Mesh at Grab (Part III): Operationalizing data reliability with automated DPIs
- The Hugo evolution: Engineering Grab's unified, one-click data ingestion platform with Apache Flink
- Data Mesh at Grab (Part II): The foundational tools behind certification
- Real-time data quality monitoring: Kafka stream contracts with syntactic and semantic test
- Data mesh at Grab part I: Building trust through certification