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Short-term traffic volume forecasting: A k-nearest neighbor approach enhanced by constrained linearly sewing principle component algorithm.
- Source :
-
Transportation Research Part C: Emerging Technologies . Jun2014, Vol. 43 Issue Part 1, p143-157. 15p. - Publication Year :
- 2014
-
Abstract
- Highlights: [•] A novel algorithm is proposed to forecast short-term traffic volume. [•] Overlapping is avoided in selecting k-nearest neighbors. [•] A linearly sewing principle component algorithm is developed. [•] The new algorithm outperformed the competing algorithms in most cases. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 0968090X
- Volume :
- 43
- Issue :
- Part 1
- Database :
- Academic Search Index
- Journal :
- Transportation Research Part C: Emerging Technologies
- Publication Type :
- Academic Journal
- Accession number :
- 96446647
- Full Text :
- https://doi.org/10.1016/j.trc.2014.02.009