Open AccessResearch on Passenger Flow Control Model of Urban Rail Transit Network
Author(s) -
Songbai Xue,
Yiping Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1601/5/052039
Subject(s) - urban rail transit , transport engineering , construct (python library) , correctness , rail transit , computer science , twin cities , transit (satellite) , flow (mathematics) , control (management) , public transport , flow network , engineering , computer network , geography , metropolitan area , mathematical optimization , geometry , mathematics , archaeology , artificial intelligence , programming language
The current urban rail transit faces the pressure of effective transportation management brought about by the large passenger flow. Through this research, it is proposed to construct a coordinated control model for urban rail transit passenger flow and optimize the urban rail transit operation organization. Using the Mixed Logit model to construct the urban rail transit network passenger flow collaborative control optimization model can accurately describe the distribution of the urban rail transit network passenger flow online, which is especially applicable to the network topology change scenario brought by the new line introduction. Empirical evidence shows the correctness and effectiveness of the model.