Abstract
In view of the unreliability of tanker rollover warning method, a highly reliable warning method for tanker rollover based on fuzzy logic is studied. Firstly, the change of rollover state is analyzed when the tanker is driving, and three rollover characterization parameters are defined. Then, the probability function of tanker rollover risk is designed, and three rollover characterization parameters are used to estimate the probability of tanker rollover, respectively. Next, the probability fusion model is established based on fuzzy logic to obtain the optimal probability of predicting the rollover occurrence. Finally, the hierarchical warning is carried out according to the optimal probability. The tanker rollover warning system is built, and real vehicle experiments are carried out respectively in the open actual road and closed test site. The experimental results show that the proposed method can accurately identify the rollover risk and conduct the effective warning. To better illustrate the warning performance, the numerical calculation shows that the proposed method can accurately quantify the rollover risk, reduce the interference of sensor error information, overcome the problems of false alarm when the tanker is driving safely and missing alarm when the tanker is in rollover risk, and improve the reliability of tanker rollover warning.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
X. Zheng, B. Wang, Y. Zhao, A knowledge graph method for hazardous chemical management: ontology design and entity identification. Neurocomputing 430, 104–111 (2021)
M. Yu, S. Li, X. Xie, Analysis of supervising process of road hazardous freight transport and countermeasures. Highw. Transp. Technol. 27, 155–158 (2010)
J. Vrabel, T. Skrucany, L. Bartuska et al., Movement analysis of the semitrailer with the tank-container at hard braking-the case study. IOP Conf. Ser.: Mater. Sci. Eng. 710, 12–25 (2019)
J. Ou, Y. Wang, E. Yang, TTR warning and anti-rollover control for semi-trailer. J. Chongqing Univ. 40, 67–76 (2017)
L. Shi, Statistical Analysis of Dangerous Goods Road Transportation Accidents and the Establishment of Integrated Management System (Chang’ An University, Xi an, 2014)
B. Zhang, C. Zong, D. Wang, Status of research and key technology of vehicle rollover warning system. Autom. Technol. 2010, 27–31 (2010)
I. Han, K. Rho, Characteristic analysis of vehicle rollover accidents: rollover scenarios and prediction warning. Int. J. Autom. Technol. 18, 451–461 (2017)
L. Fan, J. Hu, H. Liang, Research on bus anti-rollover model in extreme-turn conditions and active control method based on computer simulation, in 11th International Conference on Computer Science & Education (IEEE, Nagoya, 2016)
M. Jalali, E. Hashemi, A. Khajepour, Model predictive control of vehicle rollover with experimental verification. Control Eng. Pract. 77, 95–108 (2018)
P. Cruz, T. Echaveguren, P. Gonzalez, Estimation of heavy vehicle rollover potential using reliability principles. Revista Ingenieria de Construccion 32, 5–14 (2017)
K. Yamamoto, A. Ejiri, M. Oya, Rollover prevention control of vehicles with crosswind disturbance. Artif. Life Robot. 12, 250–258 (2021)
C. Winkler, D. Ervin, Rollover of heavy commercial vehicles. UMTRI Res. Rev. 31, 1–17 (2000)
H. Li, Y. Zhao, H. Wang, Design of an improved predictive LTR for rollover warning systems. J. Braz. Soc. Mech. Sci. Eng. 39, 3779–3791 (2017)
D. Chu, Z. Li, J. Wang, Rollover speed prediction on curves for heavy vehicles using mobile smartphone. Measurement 129, 375–380 (2018)
D. Chu, J. Cui, Z. Deng, Research on vehicular rollover warning based on improved TTR algorithm. China Mech. Eng. 27, 1557–1561 (2016)
X. Song, Research on Key Technologies of Vehicle Active Safety Based on Multi-source Information Fusion (Southeast University, Nanjing, 2014)
Q. Xu, X. Li, C. Chan, Enhancing localization accuracy of MEMS-INS/GPS/In-vehicle sensors integration during GPS outages. IEEE Trans. Instrum. Meas. 67, 1966–1978 (2018)
R. Jiang, Research on Vehicle Fusion Location Technology in Urban Canyon Environment (Southeast University, Nanjing, 2018)
R. Wang, Z. Chen, X. Ming, Energy management of parallel marine power system based on improved fuzzy logic control. J. Shanghai Jiaotong Univ. 55, 1188–1196 (2021)
Acknowledgements
National Key R&D Program (2017YFC0804804), Xiamen Institute of Technology 2021 Production Teaching Integration Practice Training Base Construction Project (XJCJRH20003).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Pan, K.X., Wei, K. (2023). Highly Reliable Warning Method for Tanker Rollover Based on Fuzzy Logic. In: Yadav, S., Kumar, R., Zainuddin, H., Deng, L. (eds) Proceedings of the International Conference on Information Control, Electrical Engineering and Rail Transit. ICEERT 2022. Lecture Notes in Electrical Engineering, vol 1084. Springer, Singapore. https://doi.org/10.1007/978-981-99-6431-4_21
Download citation
DOI: https://doi.org/10.1007/978-981-99-6431-4_21
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-6430-7
Online ISBN: 978-981-99-6431-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)