Research on Vehicle Safety Warning System Based on Data Fusion

نویسنده

  • Hongwei Cui
چکیده

Vehicle dynamic safety warning system based on data fusion is researched and designed in this paper. Dynamic information of vehicle, road and environment can be collected in real time. By analyzing and processing these data, active safety warning information is achieved for individual vehicle on different work condition. Security characteristic parameter, road conditions and traffic meteorological information can be detected automatically by the vehicle dynamic security supervision system. Active warning and supervision of comprehensive vehicle safety performance are achieved. The warning system owns the function of data acquisition, operation, wireless data transmission, information distribution and parameter preserving. Warning information is transferred by wireless network in real time. Research work in this paper is applied to road traffic control area. This vehicle warning system is of value to removing incipient fault of running vehicle, improving reliability, rational maintaining and proper inspection.

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تاریخ انتشار 2016