Forecasting Daily MRT Passenger Flow in Taipei Based on Google Search Queries

Haoran Jie, Hetai Zou,Qinneng Xu

2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC)（2021）

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摘要

In recent decades, the advancement of the transportation system raises people's reliance on public transportation. Taipei metro is one of the most often-used modern transportation in Taiwan with around 2 million ridership per day. Forecasting passenger flow has been a critical topic in transportation research, with the purpose to facilitate traffic control. Accurate prediction on passenger flow wo...

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关键词

Passenger flow forecasting,Google trends,time series,random forest

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