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Traffic Data Imputation: Who Do a Better Job
| 题名： | Traffic Data Imputation: Who Do a Better Job |
| 正文语种： | 中文 |
| 作者： | Ming Zhong Satish Sharma |
| 作者单位： | Research ssociate, epartment of ivil Engineering,University of algary, algary, lberta, anada T2N 1N4 Professor and ssociate ean,Faculty of Engineering,University of Regina,Regina,SK, anada S4S 0 2. |
| 关键词： | 交通数据 数据估算 交通监控 监控系统 数据质量 |
| 摘要： | Estimating missing values is known as data imputation. Traffic data imputation has a long history, and such a convention can be traced back to the starting date of traffic monitoring systems in 1930's. Literature review indicates that many highway agencies in North America and Europe estimate missing values in their collected data. However, no studies have been found to assess the accuracy of these imputation methods. This study indicates that the imputation methods used by highway agencies are intuitive in nature and could result in large imputation errors under certain circumstances. The large imputation errors could lead to significant deviations in the resulting operation plans and designed structures. Therefore, it is necessary to evaluate the accuracy of various imputation methods employed by highway agencies. The assessment is carried out in this study based on data from the provincial highway agencies of Alberta and Saskatchewan in Canada. Study results clearly show some imputation models can consistently provide more stable and accurate estimates than the others. It is believed that study results are helpful for traffic engineers to review their imputation practices and hence, improve their data quality. |
| 会议日期： | 20050625 |
| 会议举办地点： | 西安 |
| 会议名称： | 第五届交通运输领域国际学术会议 |
| 出版日期： | 2005-06-25 |
| 母体文献： | 第五届交通运输领域国际学术会议论文集 |
| 分类号： | U491 |
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