Abstract
Suitable selection of the emergency alternatives is a critical issue in emergency response system of Unattended Train Operation (UTO) metro system of China. However, there is no available method for dispatcher group in Operating Control Center (OCC) to evaluate the decision under emergency situation. It was found that the emergency decision making in UTO metro system is relative with the preferences and the importance of multi-dispatcher in emergency. Regarding these factors, this paper presents a hybrid method to determinate the priority weights of emergency alternatives, which aggregates the preference matrix by constructing the emergency response task model based on the Weighted Ordered Weighted Averaging (WOWA) operator. This calculation approach derives the importance weights depending on the dispatcher emergency tasks and integrates it into the Ordered Weighted Averaging (OWA) operator weights based on a fuzzy membership relation. A case from train fire is given to demonstrate the feasibility and practicability of the proposed methods for Group Multi-Criteria Decision Making (GMCDM) in emergency management of UTO metro system. The innovation of this research is paving the way for a systematic emergency decision-making solution which connects the automatic metro emergency response system with the GMCDM theory.
Highlights
Unattended Train Operation (UTO) refers to the automated metro system in which trains run fully automatically without any operating staff onboard [1]
This paper presents a hybrid method to determinate the priority weights of emergency alternatives, which aggregates the preference matrix by constructing the emergency response task model based on the Weighted Ordered Weighted Averaging (WOWA) operator
We investigated line 10 in Shanghai which has been designed as UTO system and found out that the characteristic of Beijing metro is different from Shanghai metro; we attended the design and construction process of line YanFang and discussed the new changes in UTO metro, which should be understood in future operation
Summary
Unattended Train Operation (UTO) refers to the automated metro system in which trains run fully automatically without any operating staff onboard [1]. There are several technological approaches including database [6], Geographic Information System (GIS) [7, 8], mathematical models [9], and artificial intelligence such as Case-Based Reasoning [10, 11] All these studies did not emphasize that the human is the ultimate decision maker who has the responsibility of concentrating on the emergency accidents and minimizing the casualties and property losses. The remainder of the paper is organized as follows: after the overview of dispatchers in OCC of UTO metro system, the problems are presented in Section 2; in Section 3, weighted ordered weighted averaging (WOWA) is introduced and a hybrid method integrating the dispatchers weights in UTO emergency response procedure and order weights into WOWA operator is specified to find out the priority weights of the alternatives.
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