Denoising traffic collision data using Ensemble Empirical Mode Decomposition (EEMD) and its application for constructing Continuous Risk Profile (CRP)
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Nam-Seog | - |
dc.contributor.author | Chung, Koohong | - |
dc.contributor.author | Ahn, Seongchae | - |
dc.contributor.author | Yu, Jeong Whon | - |
dc.contributor.author | Choi, Keechoo | - |
dc.date.accessioned | 2021-09-05T04:54:13Z | - |
dc.date.available | 2021-09-05T04:54:13Z | - |
dc.date.created | 2021-06-15 | - |
dc.date.issued | 2014-10 | - |
dc.identifier.issn | 0001-4575 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/97331 | - |
dc.description.abstract | Filtering out the noise in traffic collision data is essential in reducing false positive rates (i.e., requiring safety investigation of sites where it is not needed) and can assist government agencies in better allocating limited resources. Previous studies have demonstrated that denoising traffic collision data is possible when there exists a true known high collision concentration location (HCCL) list to calibrate the parameters of a denoising method. However, such a list is often not readily available in practice. To this end, the present study introduces an innovative approach for denoising traffic collision data using the Ensemble Empirical Mode Decomposition (EEMD) method which is widely used for analyzing nonlinear and nonstationary data. The present study describes how to transform the traffic collision data before the data can be decomposed using the EEMD method to obtain set of Intrinsic Mode Functions (IMFs) and residue. The attributes of the IMFs were then carefully examined to denoise the data and to construct Continuous Risk Profiles (CRPs). The findings from comparing the resulting CRP profiles with CRPs in which the noise was filtered out with two different empirically calibrated weighted moving window lengths are also documented, and the results and recommendations for future research are discussed. Published by Elsevier Ltd. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.subject | HILBERT SPECTRUM | - |
dc.subject | CONCENTRATION LOCATIONS | - |
dc.subject | PERFORMANCE | - |
dc.subject | HIGHWAYS | - |
dc.title | Denoising traffic collision data using Ensemble Empirical Mode Decomposition (EEMD) and its application for constructing Continuous Risk Profile (CRP) | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, Koohong | - |
dc.identifier.doi | 10.1016/j.aap.2014.05.007 | - |
dc.identifier.scopusid | 2-s2.0-84901922682 | - |
dc.identifier.wosid | 000340304000005 | - |
dc.identifier.bibliographicCitation | ACCIDENT ANALYSIS AND PREVENTION, v.71, pp.29 - 37 | - |
dc.relation.isPartOf | ACCIDENT ANALYSIS AND PREVENTION | - |
dc.citation.title | ACCIDENT ANALYSIS AND PREVENTION | - |
dc.citation.volume | 71 | - |
dc.citation.startPage | 29 | - |
dc.citation.endPage | 37 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Public, Environmental & Occupational Health | - |
dc.relation.journalResearchArea | Social Sciences - Other Topics | - |
dc.relation.journalResearchArea | Transportation | - |
dc.relation.journalWebOfScienceCategory | Ergonomics | - |
dc.relation.journalWebOfScienceCategory | Public, Environmental & Occupational Health | - |
dc.relation.journalWebOfScienceCategory | Social Sciences, Interdisciplinary | - |
dc.relation.journalWebOfScienceCategory | Transportation | - |
dc.subject.keywordPlus | HILBERT SPECTRUM | - |
dc.subject.keywordPlus | CONCENTRATION LOCATIONS | - |
dc.subject.keywordPlus | PERFORMANCE | - |
dc.subject.keywordPlus | HIGHWAYS | - |
dc.subject.keywordAuthor | Empirical Mode Decomposition | - |
dc.subject.keywordAuthor | Intrinsic Mode Function | - |
dc.subject.keywordAuthor | Continuous Risk Profile | - |
dc.subject.keywordAuthor | Traffic collision | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.