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Bus Arrival Time Prediction Using Wavelet Neural Network Trained by Improved Particle Swarm Optimization
Joint Authors
Easa, Said M.
Lai, Yuanwen
Sun, Dazu
Wei, Yian
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Prediction of bus arrival time is an important part of intelligent transportation systems.
Accurate prediction can help passengers make travel plans and improve travel efficiency.
Given the nonlinearity, randomness, and complexity of bus arrival time, this paper proposes the use of a wavelet neural network (WNN) model with an improved particle swarm optimization algorithm (IPSO) that replaces the gradient descent method.
The proposed IPSO-WNN model overcomes the limitations of the gradient-based WNN which can easily produce local optimum solutions and stop the training process and thus improves prediction accuracy.
Application of the model is illustrated using operational data of an actual bus line.
The results show that the proposed model is capable of accurately predicting bus arrival time, where the root-mean square error and the maximum relative error were reduced by 42% and 49%, respectively.
American Psychological Association (APA)
Lai, Yuanwen& Easa, Said M.& Sun, Dazu& Wei, Yian. 2020. Bus Arrival Time Prediction Using Wavelet Neural Network Trained by Improved Particle Swarm Optimization. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1176058
Modern Language Association (MLA)
Lai, Yuanwen…[et al.]. Bus Arrival Time Prediction Using Wavelet Neural Network Trained by Improved Particle Swarm Optimization. Journal of Advanced Transportation No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1176058
American Medical Association (AMA)
Lai, Yuanwen& Easa, Said M.& Sun, Dazu& Wei, Yian. Bus Arrival Time Prediction Using Wavelet Neural Network Trained by Improved Particle Swarm Optimization. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1176058
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1176058