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Origin-Destination Matrix Estimation and Prediction from Socioeconomic Variables Using Automatic Feature Selection Procedure-Based Machine Learning Model
| 题名： | Origin-Destination Matrix Estimation and Prediction from Socioeconomic Variables Using Automatic Feature Selection Procedure-Based Machine Learning Model |
| 正文语种： | eng |
| 作者： | Rodriguez-Rueda, P. J.;Ruiz-Aguilar, J. J.;Gonzalez-Enrique, J.;Turias, I |
| 作者单位： | Metropolitan Transport Consortium Campo Gibraltar Tech Dept Algeciras 11207 Spain;Univ Cadiz Polytech Sch Engn Dept Ind & Civil Engn Algeciras 11202 Spain;Univ Cadiz Polytech Sch Engn Dept Comp Sci Engn Algeciras 11202 Spain;Univ Cadiz Polytec |
| 关键词： | Origin-destination (OD) matrix;Machine learning;Artificial neural networks;Support vector machines;Feature selection;Urban transport planning |
| 摘要： | The origin-destination (OD) demand matrix plays an essential role in travel modeling and transport planning. Traditional OD matrices are estimated from expensive and laborious traffic counts and surveys. Accordingly, this study proposes a new combined met |
| 出版年： | 2021 |
| 期刊名称： | Journal of Urban Planning and Development |
| 卷： | 147 |
| 期： | 4 |
| 页码： | 04021056.1-04021056.15 |
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