Assistant decision-making method and system for urban rail transit network operation emergencies

Abstract

The invention relates to an auxiliary decision-making method and system for urban rail transit network operation emergencies. The method comprises the steps: building simulation models through a digital twinning technology, and combining a plurality of simulation models to build a digital twinning rail transit network; according to historical passenger flow data of the urban rail transit network, data simulation and prediction are carried out, and emergency situations under possible situations are analyzed; deducing driving and passenger flow trends in the simulation model according to an emergency situation, establishing communication between the urban rail transit system and the digital twin simulation system, and realizing real-time driving analysis and interaction of passenger flow data and analogue simulation data; and analyzing the harm degree and the development condition of the received emergencies, determining the early warning level, carrying out quantitative and qualitative evaluation on the effect after the implementation of the emergency treatment measures, and providing the simulation process and the result to the scheduling personnel of the network control center in the form of images and texts to assist the scheduling personnel to carry out strategy optimization.

Description

technical field [0001] The invention relates to the technical field of rail transit, in particular to an auxiliary decision-making method and system in case of an emergency in the operation of an urban rail transit network. Background technique [0002] During the operation of urban rail transit, accidents such as train collisions and derailments, sudden changes in weather, unexpected situations of large passenger flow, and failures of driving equipment and other emergencies will occur. The inability to obtain comprehensive information during the operation of the line leads to the highly subjective characteristics of the decision-making plan, and the feasibility of the decision-making plan cannot be evaluated in time after the decision-making process, resulting in the recurrence of similar incidents. [0003] In reality, relying only on the analysis of existing historical data, it is often impossible to better predict the traffic flow and passenger flow data in the future, a...

AI Technical Summary

Problems solved by technology

[0002] During the operation of urban rail transit, accidents such as train collisions and derailments, sudden changes in weather, unexpected situations of large passenger flow, and failures of driving equipment and other emergencies will occur. Unable to obtain comprehensive information during the operation of the line, resulting in highly subjective characteristics of the decision-making plan, and the feasibility of the decision-making plan cannot be evaluated in time after the decision-making process, resulting in the recurrence of similar incidents

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