Imputation Model of the Link Travel Speed Data for Incident Detection System
This paper describes an imputation model that uses the multiple regression to accurately estimate average roadway link travel speeds for the incident detection algorithm and Intelligent Transportation System (ITS). This model predicts link travel speeds using a robust data imputation method based on...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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FRUCT
2020-04-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://www.fruct.org/publications/acm26/files/Ki.pdf |
| _version_ | 1818293111311302656 |
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| author | Yong-Kul Ki Yong-Ho Kim Yong-Chan Kim |
| author_facet | Yong-Kul Ki Yong-Ho Kim Yong-Chan Kim |
| author_sort | Yong-Kul Ki |
| collection | DOAJ |
| description | This paper describes an imputation model that uses the multiple regression to accurately estimate average roadway link travel speeds for the incident detection algorithm and Intelligent Transportation System (ITS). This model predicts link travel speeds using a robust data imputation method based on available information for neighbor links and the adjacent time periods. A field test showed that the variance of the percent errors of link travel speeds was reduced when they were measured using the new model. Therefore, it can be concluded that the proposed model significantly improves the accuracy of travel speed measurement |
| first_indexed | 2024-12-13T03:10:39Z |
| format | Article |
| id | doaj.art-5c49f4a77e6e4e468cb1c6111395b630 |
| institution | Directory Open Access Journal |
| issn | 2305-7254 2343-0737 |
| language | English |
| last_indexed | 2024-12-13T03:10:39Z |
| publishDate | 2020-04-01 |
| publisher | FRUCT |
| record_format | Article |
| series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| spelling | doaj.art-5c49f4a77e6e4e468cb1c6111395b6302022-12-22T00:01:37ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372020-04-0126253954410.5281/zenodo.4007420Imputation Model of the Link Travel Speed Data for Incident Detection SystemYong-Kul Ki0Yong-Ho Kim1Yong-Chan Kim2Road Traffic Authority, South KoreaRoad Traffic Authority, South KoreaRoad Traffic Authority, South KoreaThis paper describes an imputation model that uses the multiple regression to accurately estimate average roadway link travel speeds for the incident detection algorithm and Intelligent Transportation System (ITS). This model predicts link travel speeds using a robust data imputation method based on available information for neighbor links and the adjacent time periods. A field test showed that the variance of the percent errors of link travel speeds was reduced when they were measured using the new model. Therefore, it can be concluded that the proposed model significantly improves the accuracy of travel speed measurementhttps://www.fruct.org/publications/acm26/files/Ki.pdftravel speedimputationmissing dataits |
| spellingShingle | Yong-Kul Ki Yong-Ho Kim Yong-Chan Kim Imputation Model of the Link Travel Speed Data for Incident Detection System Proceedings of the XXth Conference of Open Innovations Association FRUCT travel speed imputation missing data its |
| title | Imputation Model of the Link Travel Speed Data for Incident Detection System |
| title_full | Imputation Model of the Link Travel Speed Data for Incident Detection System |
| title_fullStr | Imputation Model of the Link Travel Speed Data for Incident Detection System |
| title_full_unstemmed | Imputation Model of the Link Travel Speed Data for Incident Detection System |
| title_short | Imputation Model of the Link Travel Speed Data for Incident Detection System |
| title_sort | imputation model of the link travel speed data for incident detection system |
| topic | travel speed imputation missing data its |
| url | https://www.fruct.org/publications/acm26/files/Ki.pdf |
| work_keys_str_mv | AT yongkulki imputationmodelofthelinktravelspeeddataforincidentdetectionsystem AT yonghokim imputationmodelofthelinktravelspeeddataforincidentdetectionsystem AT yongchankim imputationmodelofthelinktravelspeeddataforincidentdetectionsystem |