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Identification systems
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Cyber Security Risk Analysis for Intelligent Transport Systems and In‐vehicle Networks
Rider model identification: neural networks and quasi‐LPV models
Potential safety effects of a frontal brake light for motor vehicles
Driver identification using 1D convolutional neural networks with vehicular CAN signals
Data‐driven approach for identifying spatiotemporally recurrent bottlenecks
Driver identification in intelligent vehicle systems using machine learning algorithms
Reusable road condition information system for traffic safety and targeted maintenance
FISS: function identification of subway stations based on semantics mining and functional clustering
Merging safety and cybersecurity analysis in product design
Telematics system for the intelligent transport and distribution of medicines
Vision, Reality and Market Drivers
Safety assessment of vehicle behaviour based on the improved D–S evidence theory