Multidimensional Scaling-Based Data Dimension Reduction Method for Application in Short-Term Traffic Flow Prediction for Urban Road Network
This study develops a multidimensional scaling- (MDS-) based data dimension reduction method. The method is applied to short-term traffic flow prediction in urban road networks. The data dimension reduction method can be divided into three steps. The first is data selection based on qualitative anal...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/3876841 |
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| _version_ | 1832556828060286976 |
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| author | Yi Zhao Satish V. Ukkusuri Jian Lu |
| author_facet | Yi Zhao Satish V. Ukkusuri Jian Lu |
| author_sort | Yi Zhao |
| collection | DOAJ |
| description | This study develops a multidimensional scaling- (MDS-) based data dimension reduction method. The method is applied to short-term traffic flow prediction in urban road networks. The data dimension reduction method can be divided into three steps. The first is data selection based on qualitative analysis, the second is data grouping using the MDS method, and the last is data dimension reduction based on a correlation coefficient. Backpropagation neural network (BPNN) and multiple linear regression (MLR) models are employed in four kinds of urban traffic environments to test whether the proposed method improves the prediction accuracy of traffic flow. The results show that prediction models using traffic data after dimension reduction outperform the same prediction models using other datasets. The proposed method provides an alternative to existing models for urban traffic prediction. |
| format | Article |
| id | doaj-art-8609826db997472180d13b80b51700d8 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-8609826db997472180d13b80b51700d82025-02-03T05:44:22ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/38768413876841Multidimensional Scaling-Based Data Dimension Reduction Method for Application in Short-Term Traffic Flow Prediction for Urban Road NetworkYi Zhao0Satish V. Ukkusuri1Jian Lu2College of Automobile and Traffic Engineering, Nanjing Forestry University, Longpan Road #159, Nanjing, 210037, ChinaLyles School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN, 47907, USASchool of Transportation ,Southeast University, Si Pai Lou #2, Nanjing, 210096, ChinaThis study develops a multidimensional scaling- (MDS-) based data dimension reduction method. The method is applied to short-term traffic flow prediction in urban road networks. The data dimension reduction method can be divided into three steps. The first is data selection based on qualitative analysis, the second is data grouping using the MDS method, and the last is data dimension reduction based on a correlation coefficient. Backpropagation neural network (BPNN) and multiple linear regression (MLR) models are employed in four kinds of urban traffic environments to test whether the proposed method improves the prediction accuracy of traffic flow. The results show that prediction models using traffic data after dimension reduction outperform the same prediction models using other datasets. The proposed method provides an alternative to existing models for urban traffic prediction.http://dx.doi.org/10.1155/2018/3876841 |
| spellingShingle | Yi Zhao Satish V. Ukkusuri Jian Lu Multidimensional Scaling-Based Data Dimension Reduction Method for Application in Short-Term Traffic Flow Prediction for Urban Road Network Journal of Advanced Transportation |
| title | Multidimensional Scaling-Based Data Dimension Reduction Method for Application in Short-Term Traffic Flow Prediction for Urban Road Network |
| title_full | Multidimensional Scaling-Based Data Dimension Reduction Method for Application in Short-Term Traffic Flow Prediction for Urban Road Network |
| title_fullStr | Multidimensional Scaling-Based Data Dimension Reduction Method for Application in Short-Term Traffic Flow Prediction for Urban Road Network |
| title_full_unstemmed | Multidimensional Scaling-Based Data Dimension Reduction Method for Application in Short-Term Traffic Flow Prediction for Urban Road Network |
| title_short | Multidimensional Scaling-Based Data Dimension Reduction Method for Application in Short-Term Traffic Flow Prediction for Urban Road Network |
| title_sort | multidimensional scaling based data dimension reduction method for application in short term traffic flow prediction for urban road network |
| url | http://dx.doi.org/10.1155/2018/3876841 |
| work_keys_str_mv | AT yizhao multidimensionalscalingbaseddatadimensionreductionmethodforapplicationinshorttermtrafficflowpredictionforurbanroadnetwork AT satishvukkusuri multidimensionalscalingbaseddatadimensionreductionmethodforapplicationinshorttermtrafficflowpredictionforurbanroadnetwork AT jianlu multidimensionalscalingbaseddatadimensionreductionmethodforapplicationinshorttermtrafficflowpredictionforurbanroadnetwork |