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Transit Travel Demand Analysis Method Based on APTS Multi-Source Data

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Abstract:

Traditional transit travel information is acquired by Trip Sample Survey which has some disadvantages including high cost and short data lifecycle. This paper researched transit travel demand analysis method using Advanced Public Transportation Systems (APTS) data. The study collected APTS data of Nanning City in China and established APTS multi-source data analysis platform applying data warehouse technology. Based on key problems research, the paper presented the analysis procedure and content. Then, this study proposed the core algorithms of the method which are determinations of boarding bus stops, alighting bus stops and transfer bus stops of smart card passengers. Finally, these algorithms programs are experimented using large scale practical APTS data. The results show that this analysis method is low cost, operability and high accuracy.

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Info:

Periodical:

Applied Mechanics and Materials (Volumes 361-363)

Pages:

2122-2126

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.361-363.2122

Citation:

Cite this paper

Online since:

August 2013

Authors:

Jun Chen*, Xiao Hua Li, Lan Ma

Keywords:

Advanced Public Transportation Systems (APTS), Data Mining (DM), Multi-Source Data, Travel Demand

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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References

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