Chapter
Jul 2, 2019

Research on Transportation Mode Split Based on Random Forest

Publication: CICTP 2019

Abstract

Transportation mode split is the core part of the four-stage method and its characteristics are constantly changing. However, most transportation mode split methods adopted in traffic planning assumed that each area had the same traffic patterns, which is not correct. This paper used random forest to split the transportation mode. First, several features were extracted from resident trip survey data and mobile phone signaling data. Then, the model accuracy was adjusted using a variety of methods. Next, the mode split model was built on the random forest. Finally, mobile phone data was used to verify its accuracy. The results show that the random forest performs well in the transportation mode split with 85% accuracy and it could be used for mobile phone signaling data to identity the transportation mode.

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Published In

Go to CICTP 2019
CICTP 2019
Pages: 2270 - 2281

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Published online: Jul 2, 2019

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Intelligent Transportation System Research Center, Southeast Univ., Nanjing 210096, China. E-mail: [email protected]
Zhen Long
Intelligent Transportation System Research Center, Southeast Univ., Nanjing 210096, China.
Zuguang Wang
Intelligent Transportation System Research Center, Southeast Univ., Nanjing 210096, China.
Juan Liu
Intelligent Transportation System Research Center, Southeast Univ., Nanjing 210096, China.
Gai Zhang
Intelligent Transportation System Research Center, Southeast Univ., Nanjing 210096, China.

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