An Overview of Parameter and Data Strategies for k-Nearest Neighbours Based Short-Term Traffic Prediction
Author:
Affiliation:
1. Blekinge Institute of Technology, Karlskrona, Sweden
2. Kunming University of Science and Technology, Kunming, China
Publisher
ACM Press
Reference29 articles.
1. Marcin Bernas, Bartlomiej Placzek, Piotr Porwik, and Teresa Pamula. 2015. Segmentation of Vehicle Detector Data for Improved K-Nearest Neighbours-Based Traffic Flow Prediction. IET Intelligent Transport Systems 9, 3 (April 2015), 264--274. https://doi.org/10.1049/iet-its.2013.0164
2. H. Chang, Y. Lee, B. Yoon, and S. Baek. 2012. Dynamic Near-Term Traffic Flow Prediction: System-Oriented Approach Based on Past Experiences. IET Intelligent Transport Systems 6, 3 (Sept. 2012), 292--305. https://doi.org/10.1049/iet-its.2011.0123
3. Edward Chung. 2003. Classification of Traffic Pattern. In 10th World Congress on Intelligent Transport Systems, Vol. 10. Brussels, 11.
4. Pietro Dell'Acqua, Francesco Bellotti, Riccardo Berta, and Alessandro De Gloria. 2015. Time-Aware Multivariate Nearest Neighbor Regression Methods for Traffic Flow Prediction. IEEE Transactions on Intelligent Transportation Systems 16, 6 (2015), 3393--3402.
5. Jianhua Guo, Wei Huang, and Billy M. Williams. 2015. Real Time Traffic Flow Outlier Detection Using Short-Term Traffic Conditional Variance Prediction. Transportation Research Part C: Emerging Technologies 50 (Jan. 2015), 160--172. https://doi.org/10.1016/j.trc.2014.07.005
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