Defining traffic flow phases using intelligent transportation systems-generated data

Xia Jingxin; Chen Mei

doi:10.1080/15472450601122322

Defining traffic flow phases using intelligent transportation systems-generated data

Xia Jingxin, Chen Mei

Research output: Contribution to journal › Article › peer-review

34 Scopus citations

Abstract

The characteristics of traffic flow under various conditions have been studied by many. Particularly, researchers use the concept of flow phases to distinguish traffic characteristics under various conditions. In this study, a data-clustering methodology is developed to define the flow phases using continuous traffic data obtained through detectors. Such continuous data provide rich information on traffic characteristics. It is shown that between the two clustering variables, density has a more significant impact on the clustering results than speed. The fundamental relationships between traffic parameters are then analyzed based on the flow phase definition.

Original language	English
Pages (from-to)	15-24
Number of pages	10
Journal	Journal of Intelligent Transportation Systems: Technology, Planning, and Operations
Volume	11
Issue number	1
DOIs	https://doi.org/10.1080/15472450601122322
State	Published - Jan 2007

Bibliographical note

Funding Information:
This study is partially funded by the Kentucky Transportation Cabinet and Federal Highway Administration. The views presented in the article are those of the authors alone.

Keywords

Clustering
Speed-flow-density
Traffic flow

ASJC Scopus subject areas

Software
Information Systems
Aerospace Engineering
Applied Mathematics
Control and Systems Engineering
Automotive Engineering
Computer Science Applications

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10.1080/15472450601122322

Cite this

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AB - The characteristics of traffic flow under various conditions have been studied by many. Particularly, researchers use the concept of flow phases to distinguish traffic characteristics under various conditions. In this study, a data-clustering methodology is developed to define the flow phases using continuous traffic data obtained through detectors. Such continuous data provide rich information on traffic characteristics. It is shown that between the two clustering variables, density has a more significant impact on the clustering results than speed. The fundamental relationships between traffic parameters are then analyzed based on the flow phase definition.

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Defining traffic flow phases using intelligent transportation systems-generated data

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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