The proposed methodology involves the integration of multimodal sensing technologies, including GPS, accelerometers, gyroscopes, and cameras, into a mobile application platform. Machine/deep learning algorithms will be employed to analyze sensor data in real-time and understand rider’s driving behaviour and driving style based on factors such as speed, acceleration, and manoeuvring patterns, etc
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