Forecasting Bus Passenger Flows by Using a Clustering-Based Support Vector Regression Approach

Forecasting Bus Passenger Flows by Using a Clustering-Based Support Vector Regression Approach

As a significant component of the intelligent transportation system, forecasting bus passenger flows plays a key role in resource allocation, network planning, and frequency setting. However, it remains challenging to recognize high fluctuations, nonlinearity, and periodicity of bus passenger flows...

Full description

Bibliographic Details
Main Authors: Chuan Li, Xiaodan Wang, Zhiwei Cheng, Yun Bai
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Affinity propagation
passenger flow
particle swarm optimization
forecasting
support vector regression
Online Access:https://ieeexplore.ieee.org/document/8963628/

Internet

https://ieeexplore.ieee.org/document/8963628/

Similar Items