On Mode Split Model of MAS-Based Urban Rail Transport Ridership Forecast System

Jing Bo Zhao; Shao Yi Bei; Lan Chun Zhang; Hai Mei Liu

doi:10.4028/www.scientific.net/AMM.39.332

Paper Titles

PML’s Optimal Choice in Solving Helmholtz Equation
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A Generic Framework for Human-Machine Hybrid Recognition Based on Wearable Visual Computing
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MAS-Based Urban Rail Transport Ridership Forecast System and Traffic Generation Analysis
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Study on the Operational Characteristics of Hybrid A²/O Process at Low Temperature
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On Mode Split Model of MAS-Based Urban Rail Transport Ridership Forecast System
p.332

Research on Consumers’ Brand Choice Cognitive Processes
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Speed Ratio Control Study on CVT with Electrical Pulley Actuation System
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The Automatic Transportation Management System of Trucks and Shovels in Open Pit
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Framework of RFID-Based Infrastructure Project Quality Management Expert System
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 39On Mode Split Model of MAS-Based Urban Rail...

On Mode Split Model of MAS-Based Urban Rail Transport Ridership Forecast System

Abstract:

Ridership forecast of urban rail transport is one of the important bases for urban rail transport network planning, design, construction and operation. MAS-based ridership forecast system was designed and the architecture was proposed. Forecast model is one of the important parts of Forecast Agent, and is the key technology to realize ridership forecast. The forecast model is established from the aspect of mode split model based on improved Fore-stage iterative feedback method. The mode split model includes three aspect of resident population, floating population and bus sub-way. The design of mode split model provides the prerequisite for the design and development of ridership forecast system.

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Periodical:

Applied Mechanics and Materials (Volume 39)

Pages:

332-337

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.39.332

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Online since:

November 2010

Authors:

Jing Bo Zhao, Shao Yi Bei, Lan Chun Zhang, Hai Mei Liu

Keywords:

Agent, MAS, Mode Split Model, Ridership Forecast System, Urban Rail Transport

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