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http://hdl.handle.net/10397/81308
Title: | Traffic data characterisation : review and challenges | Authors: | Respati, S Bhaskar, A Chung, E |
Issue Date: | 2018 | Source: | Transportation research procedia, 2018, v. 34, p. 131-138 | 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. | Keywords: | Traffic data Traffic data characteristics Traffic data challenges |
Publisher: | Elsevier | Journal: | Transportation research procedia | EISSN: | 2352-1465 | DOI: | 10.1016/j.trpro.2018.11.024 | 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 | Rights: | © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) 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 |
Appears in Collections: | Conference Paper |
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Respati_Traffic_Data_Characterisation.pdf | 573.71 kB | Adobe PDF | View/Open |
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