原文传递
Application of Maximum Entropy Sampling Design to Traveler Information System Data-Quality Evaluations
| 题名： | Application of Maximum Entropy Sampling Design to Traveler Information System Data-Quality Evaluations |
| 其他题名： | Ainslie,B.,Reuten,C.,Steyn,D.G.,Le,N.D.,and Zidek,J.V.(2009)."Application of an entropy-based Bayesian optimization technique to the redesign of an existing monitoring network for single air pollutants."J.Environ.Manage.,90(8),2715-2729. |
| 正文语种： | 英文 |
| 作者： | James K. Richardson |
| 关键词： | evaluation；quality；conditions；application；variability；objective；information；collection；travel；selectin |
| 摘要： | Evaluation of travel-time data quality from traveler information systems (TISs) is a critical need for many transportation agencies. To measure data quality, observations of ground-truth travel time must be collected on links in a transportation network. Therefore, selecting which links in the network to monitor is a critical step in evaluating the quality of a TIS. This paper presents a maximum entropy sampling (MES) design that can be used to objectively select a subset of links from a road network for ground-truth data collection. This approach objectively identifies subsets of links that have the greatest variability in traffic conditions. This allows for a more rigorous evaluation of a TIS to determine the system's ability to effectively capture changing traffic conditions. The MES method was evaluated using both a simulated and an empirical data set. |
| 出版年： | 2015 |
| 论文唯一标识： | P-72Y2015V141N07005 |
| 英文栏目名称： | Technical Papers |
| doi： | 10.1061/(ASCE)TE.1943-5436.0000765 |
| 期刊名称： | Journal of Transportation Engineering |
| 拼音刊名(出版物代码)： | P-72 |
| 卷： | 141 |
| 期： | 07 |
| 页码： | 29-35 |
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