Bus travel time prediction using support vector machines for high variance conditions

Bus travel time prediction using support vector machines for high variance conditions

Real-time bus travel time prediction has been an interesting problem since past decade, especially in India. Popular methods for travel time prediction include time series analysis, regression methods, Kalman filter method and Artificial Neural Network (ANN) method. Reported studies using these meth...

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Bibliographic Details
Main Authors: Anil Kumar Bachu, Kranthi Kumar Reddy, Lelitha Vanajakshi
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2021-08-01
Series:Transport
Subjects:
support vector machines
bus travel time prediction
approximate entropy
high variability
heterogeneous traffic
Online Access:https://journals.vgtu.lt/index.php/Transport/article/view/15220

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