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Study on Highway Transportation Route Decision Making Methods of Hazardous Material

Author: MaChangXi
Tutor: GuangXiaoPing
School: Lanzhou Jiaotong University
Course: Safety Technology and Engineering
Keywords: Dangerous Goods Transport path Multiple Attribute Decision Making Multi-objective decision-making Analytic Hierarchy Process BP neural network Uncertain linguistic hybrid aggregation operator
CLC: U492.8
Type: Master's thesis
Year: 2007
Downloads: 381
Quote: 3
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Abstract

Dangerous goods on the road is a mobile source of danger, accident, will have a huge impact on the people around, property and the environment. With economic development, the transport of dangerous goods in the substantial growth of dangerous goods on the environment and human potential risks in expanding. How to choose an optimal path of transport of dangerous goods, to not only ensure the safety of the transport but also ensures that reach their destinations quickly, is an important issue facing policy-making departments. Papers on the basis of summing up a lot of literature, the study of domestic and international road transport of dangerous goods routing decisions are reviewed, pointing out that the current study did not distinguish between dangerous goods road transport path selection for the path of dangerous goods facing the two different transport network environment (developed transportation network with underdeveloped transport network), routing decisions in both cases are not exactly the same, and most of the current research only remain in a certain environment, do not less research of dangerous goods routing decisions in uncertain environments. The paper transport network environment is divided into two cases, multi-attribute decision making theory and method to choose the best path for a developed road network, with the theory and method of multi-objective decision to choose the best path for a well-developed road network. Papers on the basis of analysis of the road transport of dangerous goods accident type, the characteristics of accidents, based on the total risk of accident classification improved measurement model and demonstrate the improved model satisfies the three axioms E.Erkut and V.Verter: analysis of factors affect the dangerous goods road transport path selection on the basis of dangerous goods road transport path decision-making index system, and then consider the problem of dangerous goods road transport of dangerous goods road transport path decision-making problems and uncertain environment routing decisions in uncertain environments were established multi-attribute decision-making model based on AHP path, the path to multi-attribute decision-making model based on BP neural network-based the operator of UEWAA and ULHA path multi-attribute decision making model and example to verify the feasibility of the model; on the basis of the three main objectives of road transport of dangerous goods (minimize accident risks grading, minimize operating time, minimize the number of sensitive targets) were constructed uncertain environments dangerous goods road transport path multi-objective decision-making model, uncertainty environment of dangerous goods road transport path chance constrained programming model, the uncertain environment of dangerous goods road transport path chance constrained programming model, and given extended labeling algorithm for solving determine the environment of dangerous goods road transport path multi-objective decision-making model and hybrid intelligent algorithm for solving the uncertain environment of dangerous goods road transport path opportunities constrained programming model, related opportunities constrained programming model and example to verify the feasibility of the model and algorithm. Papers for different road network environment, consider identifying and uncertainty both cases and build decision-making model and method is expected to provide decision support for government regulators.

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