Short-Term Passenger Flow Prediction in Urban Public Transport: Kalman Filtering Combined K-Nearest Neighbor Approach

Short-Term Passenger Flow Prediction in Urban Public Transport: Kalman Filtering Combined K-Nearest Neighbor Approach

Short-term prediction of passengers' flow is one of the essential elements of the operation and real time control for public transit. Although fine prediction methodologies have been reported, they still need improvement in terms of accuracy when the current or future data either exhibit fluctu...

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Bibliographic Details
Main Authors: Shidong Liang, Minghui Ma, Shengxue He, Hu Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Short-term forecasting
urban public transit
passenger flow
fusion model
Online Access:https://ieeexplore.ieee.org/document/8811477/

Internet

https://ieeexplore.ieee.org/document/8811477/

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