A genetic algorithm-based support vector machine for bus travel time prediction
Information about public transport travel time is a key indicator of service performance, and is valued by passengers and operators. Among many different approaches, Support Vector Machines (SVM) has recently gained attention in predicting bus travel times. The training process of SVMs involves solv...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/63454/ https://eventegg.com/ictis-2015/ |
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| Institution: | Universiti Teknologi Malaysia |