Passenger flow distribution simulation evaluation method and system under rail transit fault

Abstract

The invention relates to a passenger flow distribution simulation evaluation method and system under a rail transit fault. The method comprises the following steps: step 1, preprocessing basic data; 2, modeling and simulation of the passenger flow and train interaction process: for each departure event, refining the interaction process of the passenger flow and the train in the passenger flow andtrain interaction process modeling and simulation module in the train waiting process, the getting-on process and the getting-off process, sequentially traversing all the departure events to form dynamic simulation, and calculating a passenger flow space-time distribution index; and 3, passenger flow distribution evaluation: based on a passenger flow distribution calculation result, comparing thepassenger service level evaluation module with a normal scene, and calculating passenger flow distribution indexes and passenger travel time indexes related to trains and stations in a fault scene. Compared with the prior art, the method has the advantages of providing auxiliary decision support for large passenger flow disposal and driving scheduling disposal under faults and the like.

Description

technical field [0001] The invention relates to rail transit passenger flow data analysis and processing technology, in particular to a passenger flow distribution simulation evaluation method and system under rail transit faults. Background technique [0002] As a huge and complex system, the operation of urban rail transit is affected by various factors, and failures are inevitable and occur randomly, causing delays and even interruptions in train operation, thereby reducing the travel experience of passengers. With the expansion of the scale of the rail transit network and the growth of passenger flow, faults occur more frequently and have greater impact. However, due to the difficulty in real-time prediction of passenger flow, the scope and degree of impact of faults on passenger travel are difficult to determine in a dynamic manner. Quantified in operational practice. [0003] With the accumulation and availability of historical rail transit operation data, regular min...

AI Technical Summary

Problems solved by technology

The passenger flow analysis after the fault cannot reflect the interaction process between train operation and platform passenger flow during the fault period, as well as the distribution of passenger flow at each space-time location and the supply of transport capacity under the interaction

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