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Talk · IEEE International Conference on Smart Information Systems and Technologies · April 28, 2022

Simulation Model for Online Prediction of Increased Passenger Flow at Almaty Metro Stations

Мадина Мансурова, Baurzhan Belgibaev, Gassyr Nazar, Ainur Zhumasheva

Baurzhan Belgibaev
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Abstract

The article substantiates the importance and relevance of the use of simulation to increase the throughput of metro stations in the city of Almaty during peak hours and public events. The most promising predictive simulation tool is the AnyLogic PLE environment. The intellectualization for metro stations is demonstrated using the example of a metro station in Almaty city and agent-type probabilistic-stochastic modeling algorithms are shown to improve the monitoring of passenger management flows at metro stations. Calculations are given and ways to improve the organization of transportation with increasing passenger traffic at Almaty metro stations are shown.

Urban Transport Systems AnalysisRailway Systems and Energy EfficiencyEvacuation and Crowd Dynamicssubway stationspassenger demand forecastingpeak hour traffic

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