2009 International Conference on Information Technology and Computer Science 2009
DOI: 10.1109/itcs.2009.187
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Cited by 5 publications
(1 citation statement)
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“…Zhou et al [5] addressed the same concept as [4] to estimate how many passengers would arrive at a bus station in the next period, and then operators could decide bus arrival rate to reduce the circumstances of sardine. For the railway case, neural network [6], [7] and SVM optimized by Genetic Algorithm [8] are possible solutions for the prediction of passenger volume.…”
Section: Introductionmentioning
confidence: 99%
“…Zhou et al [5] addressed the same concept as [4] to estimate how many passengers would arrive at a bus station in the next period, and then operators could decide bus arrival rate to reduce the circumstances of sardine. For the railway case, neural network [6], [7] and SVM optimized by Genetic Algorithm [8] are possible solutions for the prediction of passenger volume.…”
Section: Introductionmentioning
confidence: 99%