GPS Data-based Non-parametric Regression for Predicting Travel Times in Urban Traffic Networks
A model for predicting travel times by mining spatio-temporal data acquired from vehicles equipped with Global Positioning System (GPS) receivers in urban traffic networks is presented. The proposed model, which uses k-nearest neighbour (kNN) non-parametric regression, is compared with models that u...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Zagreb, Faculty of Transport and Traffic Sciences
2010-01-01
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| Series: | Promet (Zagreb) |
| Online Access: | http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/159 |