Title :
Research on risk assessment of hazardous freight road transportation based on BP neural network
Author :
Zhen-tao, Qu ; Yu-hui, Wang
Author_Institution :
Harbin Univ. of Commerce, Harbin, China
Abstract :
For enhancing the safety standards of hazardous freight road transportation and reducing accidents, the risk assessment methodology of hazardous freight road transportation system is introduced. By establishing the risk of hazardous freight road transportation comprehensive assessment model based on BP neural network theory, the right degree of safety of hazardous freight road transportation has a more precise quantitative understanding. A numerical example is used to demonstrate that the model is efficacious.
Keywords :
backpropagation; neural nets; risk management; transportation; BP neural network; hazardous freight road transportation; numerical example; risk assessment research; road transportation; Chemical hazards; Neural networks; Power generation economics; Rail transportation; Risk management; Road accidents; Road safety; Road transportation; Road vehicles; Vehicle safety; BP Neural Network; Hazardous Freight Road Transportation; Risk Assessment;
Conference_Titel :
Logistics Systems and Intelligent Management, 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-7331-1
DOI :
10.1109/ICLSIM.2010.5461343
