Advanced machine learning applied to connected vehicle data
powering the transportation transformation
Using real-time vehicle data to understand transportation risk
and build mitigation solutions.
Implementing complete machine learning architecture for maximum performance and accuracy.
Sophisticated algorithms to detect emergent road safety issues.
Providing a secure environment for implementing edge (vehicle) predictive systems.
Comprehensive Transport Data
- Architected for machine learning & real-time usage
- Global, highly accurate map
- Road attribution – signage, lanes, parking, intersections
- Weather data
- Road conditions
- Road sensors
- Traffic control sensors
- Connected vehicle data
Data Management Features
- Training data creation and management
- Real-time high scale ingest
- Anomaly / error detection / handling
- Standardization – ingesting data from multiple vendors / services / versions
- Historical archive
- Real-time machine learning / model creation
- Geo-sharding of models for edge computing
- Encrypted and hardened central data center
- Blockchain based system for publishing data back to transport systems – encrypted and authenticated data stream that can’t be hacked