Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81308
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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
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