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Compressive sensing-enhanced feature selection and its application in travel mode choice prediction

机译:压缩传感增强特征选择及其在旅行模式选择预测中的应用

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摘要

Travel mode choice (TMC) prediction aims to identify the potential travel means for individual commuter. The difficulty associated with the TMC prediction is how to make full use of a large number of available factors (or features), and balance the trade-off between the number of selected features and yielded prediction performance.
机译:旅行模式选择(TMC)预测旨在识别单个通勤者的潜在旅行手段。 与TMC预测相关的困难是如何充分利用大量可用因子(或特征),并在所选功能的数量之间平衡折衷并产生预测性能。

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