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- W4220721567 abstract "Abstract The traffic lights using by light emitting diode (LED) are able to indicate and provide the information about the ambient. The signal transimission performance of traffic system is related to a variety of factors such as the signal-to-noise ratio (SNR), illuminance. Several factors are influence on illumiance and SNR, such as eatsink temperature and driver parameters. It has not been any substantial investigate on the operated effects of traffic light with sinusoidal waveform driver on illuminance and SNR. With the use of heatsink temperature and driver parameters of the LED source with sinusoidal waveform driver, prediction modeling for the illuminance and SNR of the mixed white LED sources with heatsink temperature, frequency, amplitude voltage, bias voltage and amplification factors are proposed in this paper to enhance the illuminance and SNR model of LED source inside smart traffic information system. The proposed model should carry out a series of calibration step for illuminance, heatsink temperature and driver parameters, which are easy for traffic designer and source system designers to follow in the traffic information system. The proposed model has been measured for the mixed white LED sources, with reasonably good agreements between theoretical and practical results." @default.
- W4220721567 created "2022-04-03" @default.
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- W4220721567 date "2022-03-09" @default.
- W4220721567 modified "2023-10-14" @default.
- W4220721567 title "Analysis and modeling for illuminance and signal-to-noise of smart traffic information system" @default.
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- W4220721567 doi "https://doi.org/10.1186/s44147-022-00079-3" @default.
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