GSA-KELM-KF: A Hybrid Model for Short-Term Traffic Flow Forecasting

GSA-KELM-KF: A Hybrid Model for Short-Term Traffic Flow Forecasting

Short-term traffic flow forecasting, an essential enabler for intelligent transportation systems, is a fundamental and challenging task for dramatically changing traffic flow over time. In this paper, we present a gravitational search optimized kernel extreme learning machine, named GSA-KELM, to avo...

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Bibliographic Details
Main Authors: Wenguang Chai, Liangguang Zhang, Zhizhe Lin, Jinglin Zhou, Teng Zhou
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Mathematics
Subjects:
traffic flow theory
extreme learning machine
Kalman filter
Online Access:https://www.mdpi.com/2227-7390/12/1/103

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