Author(s)

Jinbing Ha, Jing Cai and Lianjie Xiao

Corresponding Author

Jing Cai

ABSTRACT

In the event of urban rail transit emergencies, mastering the scheduling experience of train operations will play an important role. The emergency command center database stores a relatively rich emergency response plan. When an emergency occurs, the on-site staff often lack sufficient experience. They cannot guarantee a complete and correct emergency response plan for the first time after receiving the police. This delays the train to some extent. During the adjustment period, it is easy to cause a large area of trains to be delayed, traffic lines are blocked, and the quality of rail transit operations services is degraded. In this paper, the theory of case-based reasoning is introduced, and the combined feature weight determination method, the case similarity calculation method based on Euclidean distance membership function and the similarity calculation method determined by weighted nearest neighbor algorithm are introduced in the urban rail transit emergency case database.

KEYWORDS

Urban rail transit, emergency, case reasoning, attribute weight, similarity