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10 August 2023 Vehicle forward collision warning and simulation test based on predictive control model
Mengyuan Wang, Fei Hui, Shuoshuo Xue
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Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 1275902 (2023) https://doi.org/10.1117/12.2686964
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China
Abstract
A theory, namely the train derailment energy analysis theory, was proposed after the study. The theoretical knowledge of the train's self-excitation characteristics and feedback theory demonstrates that lateral instability can cause train derailment to occur. Vehicle derailment has been a difficult problem to solve so far, and in the derailment tests that have been done, sometimes derailments have not occurred even though the operating vehicles have greatly exceeded the existing evaluation criteria. In recent years, domestic and foreign railroad scholars have conducted a lot of research on derailment, but until now the derailment mechanism is still very vague understanding. For more than a century, the study of derailment problems has been limited to the static aspects of single wheel pairs and less to the whole vehicle. Train derailment should not only consider the static mechanics, but also involve dynamic derailment problems, especially at home and abroad after the train speed increase, the train on the track at high speed, dynamic and non-linear effects are becoming more and more serious, making derailment problems become more complex.
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Mengyuan Wang, Fei Hui, and Shuoshuo Xue "Vehicle forward collision warning and simulation test based on predictive control model", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 1275902 (10 August 2023); https://doi.org/10.1117/12.2686964
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KEYWORDS
Education and training
Safety
Engineering
MATLAB
Mechanics
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