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Title:

A New Multi-Source Traffic Data Integration Framework for Traffic Analysis and Performance Measurement

Accession Number:

01714403

Record Type:

Component

Abstract:

This paper proposes a traffic data integration framework that addresses the challenges of analyzing multi-source data. The framework is based on a uniform roadway referencing layer, which can support comprehensive traffic analysis based on multi-source traffic data. The authors propose an iterative map conflation algorithm and analyze traffic performance and its influential factors to evaluate travel time reliability. The traffic data integration framework presented is shown to be flexible, efficient, and extensible.

Report/Paper Numbers:

19-02736

Language:

English

Authors:

Cui, Zhiyong

ORCID 0000-0002-5780-4312

Henrickson, Kristian
Pu, Ziyuan
Guo, Ge
Wang, Yinhai

ORCID 0000-0002-4180-5628

Pagination:

6p

Publication Date:

2019

Conference:

Transportation Research Board 98th Annual Meeting

Location: Washington DC, United States
Date: 2019-1-13 to 2019-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management

Source Data:

Transportation Research Board Annual Meeting 2019 Paper #19-02736

Files:

TRIS, TRB, ATRI

Created Date:

Aug 22 2019 12:01PM

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