Motorcycle accident rates have increased significantly year by year throughout the world. In this paper, we would like to introduce a motorcycle active safety system that can detect high risk riding states and decrease accident rates. As smartphone nowadays becomes a popular communication tools in society, we use smartphone as the platform of our system. By using sensors that equipped in smartphone, our system will do real-time monitoring based on data that obtained from those sensors and detect the high-risk motorcycle riding maneuvers. When high-risk maneuver is detected, our system will automatically alert the rider. An emergency message will be sent to police when the fatal accident happens. It can be a traffic data recorder with cloud computing to provide digital forensics information to police and insurance company for crash investigation. Our system has been implemented on Android smartphone and tested in real riding condition. Experiments show that data obtained from this system achieve high accuracy and precision. Index Terms—Active safe system, digital forensics, cloud computing, risk riding detection, smartphone.
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Nowy Condro (2012) studied this question.
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