Abstract
We have designed a smart wearable device to protect actively pedestrian from impact of vehicle. This device consists of several modules, including radar sensor, transmission module, alarm module and intelligent security program module. In the dominant program module, the safety intelligent algorithm based on fuzzy comprehensive evaluation and BP neural network is proposed. From the perspective of a pedestrian, the moving data sensed by radar, combining with multiple effects of local surroundings, people and vehicles, road and transportation situation, weather, physiological and psychological situation of the pedestrian, are used as the data source for the algorithm. Based on the weight of the index determined by BP neural network, we use the fuzzy comprehensive evaluation to calculate the vehicle risk index. The smart wearable device can effectively predict and warn the situation of vehicles impacting pedestrians. The simulation has confirmed the accuracy of the prewarning algorithm under various conditions.
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Acknowledgements
The present work was supported by Xichang Mine (open-air) intrinsically safe mine research project (Granted no. scaqjg stp 2016011).
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Wang, Z., Wan, Q., Qin, Y. et al. Intelligent algorithm in a smart wearable device for predicting and alerting in the danger of vehicle collision. J Ambient Intell Human Comput 11, 3841–3852 (2020). https://doi.org/10.1007/s12652-019-01609-3
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DOI: https://doi.org/10.1007/s12652-019-01609-3