Passenger Flow Simulation of Large-Scale Railway Passenger Station
Jia Gao, Ruihua Xu, Xiaolei Zou
Abstract
Jia Gao, Ruihua Xu, Xiaolei Zou
Abstract
To investigate the passenger flow organization in large-scale railway passenger station, the new passenger flow driving models and evaluating methods are proposed. The passenger flow driving models mainly include the event processes assignment model, dynamic guide model, shortest path model and passenger flow conflict model. The basis data of simulating evaluation is mainly supplied by the simulating information map and evaluating information map. The case study demonstrates the validity and feasibility of the proposed models and methods, which are capable of evaluating passenger flow organization schemes and facilities layout schemes through visual and quantitative ways.
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To investigate the passenger flow organization in large-scale railway passenger station, the new passenger flow driving models and evaluating methods are proposed. The passenger flow driving models mainly include the event processes assignment model, dynamic guide model, shortest path model and passenger flow conflict model. The basis data of simulating evaluation is mainly supplied by the simulating information map and evaluating information map. The case study demonstrates the validity and feasibility of the proposed models and methods, which are capable of evaluating passenger flow organization schemes and facilities layout schemes through visual and quantitative ways.
Key concepts: Computer science, Scale (ratio), Flow (mathematics), Passenger transport, Event (particle physics), Information flow, Path (computing), Data flow model