A Hidden Markov Model for Urban-Scale Traffic Estimation Using Floating Car Data
文献类型：期刊论文
| 作者 | Wang, Xiaomeng1; Peng, Ling1; Chi, Tianhe1; Li, Mengzhu1; Yao, Xiaojing1; Shao, Jing1 |
| 刊名 | PLOS ONE
 |
| 出版日期 | 2015 |
| 卷号 | 10期号:12页码:2306-2325 |
| 通讯作者 | Peng, L (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China. |
| 英文摘要 | Urban-scale traffic monitoring plays a vital role in reducing traffic congestion. Owing to its low cost and wide coverage, floating car data (FCD) serves as a novel approach to collecting traffic data. However, sparse probe data represents the vast majority of the data available on arterial roads in most urban environments. In order to overcome the problem of data sparseness, this paper proposes a hidden Markov model (HMM)-based traffic estimation model, in which the traffic condition on a road segment is considered as a hidden state that can be estimated according to the conditions of road segments having similar traffic characteristics. An algorithm based on clustering and pattern mining rather than on adjacency relationships is proposed to find clusters with road segments having similar traffic characteristics. A multi-clustering strategy is adopted to achieve a trade-off between clustering accuracy and coverage. Finally, the proposed model is designed and implemented on the basis of a real-time algorithm. Results of experiments based on real FCD confirm the applicability, accuracy, and efficiency of the model. In addition, the results indicate that the model is practicable for traffic estimation on urban arterials and works well even when more than 70% of the probe data are missing. |
| 研究领域[WOS] | Multidisciplinary Sciences |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000367451400041 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38040]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Wang, Xiaomeng 2.Peng, Ling 3.Chi, Tianhe 4.Yao, Xiaojing 5.Shao, Jing] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China 6.[Wang, Xiaomeng 7.Yao, Xiaojing 8.Shao, Jing] Chinese Acad Sci, Univ Chinese Acad Sci, Beijing, Peoples R China 9.[Li, Mengzhu] Southwest Univ, Coll Econ & Management, Chongqing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Xiaomeng,Peng, Ling,Chi, Tianhe,et al. A Hidden Markov Model for Urban-Scale Traffic Estimation Using Floating Car Data[J]. PLOS ONE,2015,10(12):2306-2325. |
| APA | Wang, Xiaomeng,Peng, Ling,Chi, Tianhe,Li, Mengzhu,Yao, Xiaojing,&Shao, Jing.(2015).A Hidden Markov Model for Urban-Scale Traffic Estimation Using Floating Car Data.PLOS ONE,10(12),2306-2325. |
| MLA | Wang, Xiaomeng,et al."A Hidden Markov Model for Urban-Scale Traffic Estimation Using Floating Car Data".PLOS ONE 10.12(2015):2306-2325. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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