Jianling Huang

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The new line station passenger flow forecast for urban rail is important in public transport service. The lack of the historical data of new rail line makes the forecast be a challenge. Traditional method always forecast the station passenger flow based on the land use numerical indicators, which is complex and not accurate. This paper proposes a novel(More)
The lack of the historical data of new rail line makes the passenger flow distribution prediction be a challenge. Traditional methods always use simple factors, which can not reflect the complexity of OD distribution. This paper proposes a novel passenger flow distribution prediction method based on multi-factor model. This method obtains quantitative(More)
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