Defining traffic flow phases using intelligent transportation systems-generated data

Xia Jingxin, Chen Mei

Producción científica: Articlerevisión exhaustiva

36 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Páginas (desde-hasta)15-24
Número de páginas10
PublicaciónJournal of Intelligent Transportation Systems: Technology, Planning, and Operations
Volumen11
N.º1
DOI
EstadoPublished - ene 2007

Nota bibliográfica

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.

Financiación

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.

FinanciadoresNúmero del financiador
Kentucky Transportation Cabinet

    ASJC Scopus subject areas

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

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