2009Science Technology and EngineeringRequires access

Urban Rail Transit Passenger Flow Analysis Based on Data Warehouse

Xie Zhi-jun

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Abstract

The topics of urban rail transit passenger flow analysis data warehouse system are focused on.The results indicated urban mass transit passenger volume of data,complex data structure,data with sudden and strong features,it tries to describe the system architecture,key indicators;gives an account of on-line analytical processing,develops the theory of the NML flow forecasting model,uses Logit model of revenue for the analysis of the forecast.The project has been applied to the Shenzhen Metro transport operators in the business,in order to optimize the operation of the rail transportation business organizations to provide support for the decision-making.

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What this paper is about

The topics of urban rail transit passenger flow analysis data warehouse system are focused on.The results indicated urban mass transit passenger volume of data,complex data structure,data with sudden and strong features,it tries to describe the system architecture,key indicators;gives an account of on-line analytical processing,develops the theory of the NML flow forecasting model,uses Logit model of revenue for the analysis of the forecast.The project has been applied to the Shenzhen Metro transport operators in the business,in order to optimize the operation of the rail transportation business organizations to provide support for the decision-making.

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Available abstract

The topics of urban rail transit passenger flow analysis data warehouse system are focused on.The results indicated urban mass transit passenger volume of data,complex data structure,data with sudden and strong features,it tries to describe the system architecture,key indicators;gives an account of on-line analytical processing,develops the theory of the NML flow forecasting model,uses Logit model of revenue for the analysis of the forecast.The project has been applied to the Shenzhen Metro transport operators in the business,in order to optimize the operation of the rail transportation business organizations to provide support for the decision-making.

Key concepts: Transport engineering, Urban rail transit, Revenue, Logit, Transit (satellite), Data warehouse, Computer science, Volume (thermodynamics)

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