Traffic Data Characterisation : Review and Challenges: Review and Challenges

Sara Respati; Ashish Bhaskar; Edward Chung

doi:10.1016/j.trpro.2018.11.024

Traffic Data Characterisation : Review and Challenges: Review and Challenges

Sara Respati, Ashish Bhaskar, Edward Chung

The Hong Kong Polytechnic University

Research output: Journal article publication › Conference article › Academic research › peer-review

4 Citations (Scopus)

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.

Original language	English
Pages (from-to)	131-138
Number of pages	8
Journal	Transportation Research Procedia
Volume	34
DOIs	https://doi.org/10.1016/j.trpro.2018.11.024
Publication status	Published - 1 Jan 2018
Event	6th International Symposium of Transport Simulation, ISTS 2018 and the 5th International Workshop on Traffic Data Collection and its Standardization, IWTDCS 2018 - Matsuyama, Japan Duration: 6 Aug 2018 → 8 Aug 2018

Keywords

Traffic data
Traffic data challenges
Traffic data characteristics

ASJC Scopus subject areas

Transportation

More information

10.1016/j.trpro.2018.11.024

http://hdl.handle.net/10397/81308

Cite this

@article{e77ff04e9a1a483c97e49df86466870a,

title = "Traffic Data Characterisation : Review and Challenges: Review and Challenges",

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 challenges, Traffic data characteristics",

author = "Sara Respati and Ashish Bhaskar and Edward Chung",

year = "2018",

month = jan,

day = "1",

doi = "10.1016/j.trpro.2018.11.024",

language = "English",

volume = "34",

pages = "131--138",

journal = "Transportation Research Procedia",

issn = "2352-1457",

publisher = "Elsevier BV",

note = "6th International Symposium of Transport Simulation, ISTS 2018 and the 5th International Workshop on Traffic Data Collection and its Standardization, IWTDCS 2018 ; Conference date: 06-08-2018 Through 08-08-2018",

}

TY - JOUR

T1 - Traffic Data Characterisation : Review and Challenges

T2 - 6th International Symposium of Transport Simulation, ISTS 2018 and the 5th International Workshop on Traffic Data Collection and its Standardization, IWTDCS 2018

AU - Respati, Sara

AU - Bhaskar, Ashish

AU - Chung, Edward

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

KW - Traffic data

KW - Traffic data challenges

KW - Traffic data characteristics

UR - http://www.scopus.com/inward/record.url?scp=85063389805&partnerID=8YFLogxK

U2 - 10.1016/j.trpro.2018.11.024

DO - 10.1016/j.trpro.2018.11.024

M3 - Conference article

AN - SCOPUS:85063389805

SN - 2352-1457

VL - 34

SP - 131

EP - 138

JO - Transportation Research Procedia

JF - Transportation Research Procedia

Y2 - 6 August 2018 through 8 August 2018

ER -

Traffic Data Characterisation : Review and Challenges: Review and Challenges

Abstract

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this