The Design of an Expressway Lighting and Early Warning System Based on MCU
Author:
Publisher
Allerton Press
Subject
Signal Processing,Control and Systems Engineering,Software
Link
https://link.springer.com/content/pdf/10.3103/S0146411622010059.pdf
Reference11 articles.
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2. Parsa, A.B., Movahedi, A., Taghipour, H., Derrible, S., and Mohammadian, A., Toward safer expressways application of XGBoost and SHAP for real-time accident detection and feature analysis, Accid. Anal. Prev., 2020, vol. 136, p. 105405. https://doi.org/10.1016/j.aap.2019.105405
3. El Hatri, C. and Boumhidi, J., Fuzzy deep learning based urban traffic incident detection, Cognit. Syst. Res., 2018, vol. 50, no. 2, pp. 606–625. https://doi.org/10.1016/j.cogsys.2017.12.002
4. Deb, R. and Liew, A.W.-C., Noisy values detection and correction of traffic accident data, Inf. Sci., 2019, vol. 476, pp. 132–146. https://doi.org/10.1016/j.ins.2018.10.002
5. Jiao, P., Miao, Q., Zhang, M., and Zhao, W., A virtual reality method for digitally reconstructing traffic accidents from videos or still images, Forensic Sci. Int., 2018, vol. 292, pp. 176–180. https://doi.org/10.1016/j.forsciint.2018.09.019
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