DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jiang, Wenhua | ko |
dc.contributor.author | Zheng, Nan | ko |
dc.contributor.author | Kim, Inhi | ko |
dc.date.accessioned | 2023-02-17T05:00:09Z | - |
dc.date.available | 2023-02-17T05:00:09Z | - |
dc.date.created | 2023-01-28 | - |
dc.date.issued | 2023-02 | - |
dc.identifier.citation | TRANSPORTMETRICA B-TRANSPORT DYNAMICS, v.11, no.1, pp.325 - 342 | - |
dc.identifier.issn | 2168-0566 | - |
dc.identifier.uri | http://hdl.handle.net/10203/305199 | - |
dc.description.abstract | This paper presents a new perspective for in-station transfer flow estimation, utilising data collected by WiFi sensor system, which is critical for path choice modelling and pedestrian management. The full in-station transfer flow can be estimated by scaling up a 'seed matrix', which is constructed based on the identification of inter-platform transfer activities. Due to sensor failures, the main problem comes from handling the missing elements in the constructed 'seed matrix'. We address this problem with a novel kernel-based framework, named self-measuring multi-task Gaussian process (SM-MTGP). The heterogeneous correlations in temporal features are captured by the designed task-based and input-based kernels separately. Moreover, a self-measuring kernel is designed for learning the correlations carried by the observations. The performance of the proposed method is validated with data from a busy railway station. The results show that the proposed algorithm achieves the best imputation accuracy in both accuracy and robustness, especially at high missing rates. | - |
dc.language | English | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.title | Missing data imputation for transfer passenger flow identified from in-station WiFi systems | - |
dc.type | Article | - |
dc.identifier.wosid | 000791905500001 | - |
dc.identifier.scopusid | 2-s2.0-85132594471 | - |
dc.type.rims | ART | - |
dc.citation.volume | 11 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 325 | - |
dc.citation.endingpage | 342 | - |
dc.citation.publicationname | TRANSPORTMETRICA B-TRANSPORT DYNAMICS | - |
dc.identifier.doi | 10.1080/21680566.2022.2064935 | - |
dc.contributor.localauthor | Kim, Inhi | - |
dc.contributor.nonIdAuthor | Jiang, Wenhua | - |
dc.contributor.nonIdAuthor | Zheng, Nan | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | WiFi data | - |
dc.subject.keywordAuthor | missing data | - |
dc.subject.keywordAuthor | transfer flow | - |
dc.subject.keywordAuthor | multitask Gaussian process | - |
dc.subject.keywordPlus | TRAFFIC FLOW | - |
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