Abstract
Aiming at the driving safety problem on the curve, safety speed warning system with risk prediction is designed as the vehicle drives on the curve. Considering both the static multi-factor such as drivers, vehicles, roads and vehicle dynamics performance, safety speed warning model on the curve based on multiple sources is established. The road curvature is estimated by machine vision technology. Then, the maximum safety speed is computed. Also, the risk state estimation function is introduced to judge vehicle driving state in advance. And, the alarm criteria is determined. Finally, safety speed warning system is developed with LabVIEW. The simulation results shown that it can accurate predict the driving state of the vehicle on the curve and warn for drivers when the vehicles have a safety hidden.
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Acknowledgements
Authors would like to thank anonymous reviewers and the editor for their valuable comments and Municipal Education Commission Project of Chongqing (KJ1603207). Chongqing Vocational Institute of Engineering Research Project (KJB201511) for their sponsorship.
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Qu, X., Yu, F., Zhao, Se. (2017). Research on Curve Safety Speed Warning for Vehicle with Risk Prediction. In: Proceedings of SAE-China Congress 2016: Selected Papers. SAE-China 2016. Lecture Notes in Electrical Engineering, vol 418. Springer, Singapore. https://doi.org/10.1007/978-981-10-3527-2_37
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DOI: https://doi.org/10.1007/978-981-10-3527-2_37
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