Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/81308
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | - |
dc.creator | Respati, S | - |
dc.creator | Bhaskar, A | - |
dc.creator | Chung, E | - |
dc.date.accessioned | 2019-09-20T00:54:59Z | - |
dc.date.available | 2019-09-20T00:54:59Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/81308 | - |
dc.description | International Symposium of Transport Simulation (ISTS'18) and the International Workshop on Traffic Data Collection and its Standardization (IWTDCS'18) - Emerging Transport Technologies for Next Generation Mobility, Aug 06-08, 2018 Ehime University, Matsuyama, Japan | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2018 The Authors. Published by Elsevier Ltd. | en_US |
dc.rights | This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) | en_US |
dc.rights | The following publication Respati, S., Bhaskar, A., & Chung, E. (2018). Traffic data characterisation: review and challenges. Transportation Research Procedia, 34, 131-138 is available at https://dx.doi.org/10.1016/j.trpro.2018.11.024 | en_US |
dc.subject | Traffic data | en_US |
dc.subject | Traffic data characteristics | en_US |
dc.subject | Traffic data challenges | en_US |
dc.title | Traffic data characterisation : review and challenges | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 131 | - |
dc.identifier.epage | 138 | - |
dc.identifier.volume | 34 | - |
dc.identifier.doi | 10.1016/j.trpro.2018.11.024 | - |
dcterms.abstract | The growth of technology provides a great amount of traffic data that have distinct characteristics. The absence of the comprehensive understanding of the characteristics and associated challenges leads to resources extravagance. In this paper, we develop data characterisation by disaggregating important traffic data features and present the associated data challenges to provide better insights of traffic data and expand traffic data usage. The paper outlines the opportunity to maximize the data utilisation. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Transportation research procedia, 2018, v. 34, p. 131-138 | - |
dcterms.isPartOf | Transportation research procedia | - |
dcterms.issued | 2018 | - |
dc.identifier.isi | WOS:000473085200017 | - |
dc.relation.conference | International Symposium of Transport Simulation / International Workshop on Traffic Data Collection and its Standardization [ISTS | - |
dc.relation.conference | IWTDCS] | - |
dc.identifier.eissn | 2352-1465 | - |
dc.description.validate | 201909 bcrc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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Respati_Traffic_Data_Characterisation.pdf | 573.71 kB | Adobe PDF | View/Open |
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