Staged multi-path model algorithm of urban rail transit network passenger flow distribution

Abstract

The invention discloses a staged multi-path model algorithm of urban rail transit network passenger flow distribution. The algorithm comprises the following steps of: dividing definite factors and indefinite factors affecting the outgoing of passengers into two stages to calculate and correct the passenger flow distribution proportion of a path, determining the initial distribution proportion of the passenger flow on the path by using the comprehensive outgoing impedance of time unit as a main factor, and correcting the proportion by considering the transfer times and the crowdedness degree on the basis of time window constraints according to a generated full origin-destination (OD) passenger flow distribution path set. The model and the algorithm provided by the invention have higher reasonability and practicability and can effectively serve the passenger flow management of the urban rail transit, meet the service requirement of clearing automatic fare collection (AFC) passenger flow and fare, and provide auxiliary decision proof for operation organization optimization and coordination.

Description

technical field [0001] The invention belongs to the technical field of analysis and prediction of network passenger flow and rational allocation of transport capacity under the networked operation condition of urban rail transit. Background technique [0002] Passenger flow is the basis of rail transit operation organization, the premise of realizing scientific and reasonable sorting of rail transit fare revenue, and an important basis for the formulation and coordination of network operation plans. The calculation method of passenger flow distribution in urban rail transit network is closely related to the transfer mode of rail transit network. Transfers within the rail transit system include transfers with barriers and transfers without barriers. Under barrier transfer conditions, when passengers transfer to other lines, they need to re-purchase tickets at the transfer station or pass through transfer gates. In this case, the travel path of passengers is very clear, and t...

AI Technical Summary

Problems solved by technology

This method is relatively simple, and it is a convenient method for calculating passenger flow distribution under the conditions of small road network scale, simple network structure, and low requirements on the accuracy of results; The route choice analysis ignores other factors that affect the travel route of passengers, and cannot reflect the diversification of passenger choices. Therefore, this method has certain limitations in rationality and scientificity

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