Spatial-Temporal K Nearest Neighbors Model on MapReduce for Traffic Flow Prediction
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Publisher
Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-030-03493-1_27
Reference16 articles.
1. Agafonov, A., Myasnikov, V.: Traffic flow forecasting algorithm based on combination of adaptive elementary predictors. Commun. Comput. Inf. Sci. 542, 163–174 (2015). https://doi.org/10.1007/978-3-319-26123-2_16
2. Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008). https://doi.org/10.1145/1327452.1327492
3. Guo, J., Williams, B.: Real-time short-term traffic speed level forecasting and uncertainty quantification using layered Kalman filters. Transp. Res. Rec. 2175, 28–37 (2010). https://doi.org/10.3141/2175-04
4. Lana, I., Del Ser, J., Velez, M., Oregi, I.: Joint feature selection and parameter tuning for short-term traffic flow forecasting based on heuristically optimized multi-layer neural networks. Adv. Intell. Syst. Comput. 514, 91–100 (2017). https://doi.org/10.1007/978-981-10-3728-3_10
5. Lana, I., Del Ser, J., Velez, M., Vlahogianni, E.: Road traffic forecasting: recent advances and new challenges. IEEE Intell. Transp. Syst. Mag. 10(2), 93–109 (2018). https://doi.org/10.1109/MITS.2018.2806634
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