Shunting serves as the backbone of rail operations, yet it is dangerous, inefficient and demands heavy manual labor. OTIV.ONE camera system improves visibility, worker safety and efficiency.
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AI-powered Advanced Driver Assistance System (ADAS) designed specifically for urban tram operations
OTIV.TWO acts as an intelligent assistant to the driver, continuously assessing the environment and providing proactive warnings. The system processes environmental data in real-time to detect potential hazards, predict the movement of pedestrians, cyclists, and vehicles, and issue early warnings to prevent accidents.
Testing across Europe's most diverse tram environments to validate technology performance under real operational conditions
Safety optimization in controlled environments with predictable traffic patterns
Complex urban integration challenges with pedestrians, vehicles, and narrow streets
High-complexity operational scenarios with mixed underground and surface operations
Scalability validation and technology transfer for wider European deployment
Measurable outcomes across safety, efficiency, and sustainability dimensions
Beyond technology: Understanding driver experience and cognitive workload
ARISE combines technical validation with comprehensive human factors research to ensure OTIV.TWO enhances rather than replaces human expertise. The project employs dual evaluation methodologies across pilot sites.
"Safety technology succeeds when it enhances, not replaces, human expertise"
Contact us to learn more about bringing Advanced Driver Assistance technology to city!
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