Sixth International Conference on Transportation Engineering
Yangtze River Waterway Transportation Safety Early Warning Management System Based on Generalized Risk-Entropy
Publication: ICTE 2019
ABSTRACT
This study put forward a generalized risk-entropy model in order to describe the complexity of Yangtze River waterway transport safety system, with the application of dynamic theory of energy transmission in nonlinear systems, and analysis methods for complex systems. The generalized risk-entropy model can characterize the overall risk evolution mechanism of the emergence promoted by risk network communication, superposition coupling, and level transition in waterway transport safety system. The method of artificial neural network is used to identify the model of generalized risk-entropy model, a BP neural network model is constructed for Yangtze River waterway transport risk assessment based on generalized risk-entropy. After that, waterway transport safety early warning management system framework, function structure, and logic structure, etc. are designed, and an early warning management system is developed for application demonstration in Wuhan waterway section. It hopes to provide a new idea and method for the risk prediction, evaluation, and early warning management of waterway transportation system.
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REFERENCES
DU, Chun, WANG, Song, WANG, Ying, GUAN, Minglu. (2013). “Study on Complex System Safety Emergence and Its Control Strategy.” Industrial Safety and Environmental Protection, 39(7): 34-37.
LIU, Dagang, XIE, Yiyang, LIU, Binxian, et al. (2015). “Dynamic Risk Evaluation and Early Warning System for Vessels Under Rough Sea Condition.”Navigation of China, 38(1): 63-67.
LIU, Qing, WANG, Guanxiong. (2014). “Complex Waters of Ship Navigation Safety Risk Coupling Mechanism Analysis.” Journal of Wuhan University of Technology (Transportation Science & Engineering), 38(1): 59-63.
TIAN, Lijuan, ZHANG, Shiyu. (2013). “A Real-time and Multi-factors Coupled Early Warning Model in Water Transportation Safety.” Proceedings of the Fourth International Conference on Transportation Engineering, Chengdu, Chian, pp.1726-1733.
WAND, Son, WAND, Ying, DU, Chun. (2013). “Emergence and Dynamic Transmission of Risk Entropy in Complex System.”Safety and Environmental Engineering,20 (2): 118-134.
WANG, Anlin. (2004). “Analysis and modeling of complex systems”, Shanghai,140-194.
WANG, Wei, SU, Jingyu, MA, Donghui. (2013). “Integrated risk assessment of complex disaster system based on a non-linear information dynamics model.” Scientia Sinica(Technologica), 43(1): 71-78.
WEN, Yuanqiao, WU, Dingyong, ZHANG, Heng. (2013). “Water Traffic System Safety Modality: Definition and Modeling.”China Safety Science Journal, 32-37.
ZHANG, Shiyu, MING, Xue. (2015). “The risk assessment of water traffic safety on Wuhu section of the Yangtze River.” Proceedings of the Fifth International Conference on Transportation Engineering, Chengdu, Chian, pp.2865-2873.
Information & Authors
Information
Published In
ICTE 2019
Pages: 495 - 503
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Jan 13, 2020
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