Analysis of urban traffic patterns using clustering

Wendy Weijermars

    Research output: ThesisPhD Thesis - Research UT, graduation UT

    798 Downloads (Pure)

    Abstract

    Mobility is still increasing, as are its corresponding negative side effects such as congestion and air pollution. To be able to take adequate measures to minimize these side effects, it is important to obtain insight into the functioning of the traffic system. In common practice, the traffic analysis process deals with average traffic volumes. However, also the variability of traffic volumes is of crucial importance, for example with regard to travel time reliability, the robustness of the road network and dynamic traffic management. Moreover, until recently, the main focus was on highway systems. Since mobility is also increasing in urban areas, it is also important to obtain insight into the functioning of the urban traffic system. This thesis aims at improving the insight into variations in urban traffic by analysing within and between day variations in traffic volumes.
    Original languageUndefined
    Awarding Institution
    • University of Twente
    Supervisors/Advisors
    • van Berkum, Eric C., Supervisor
    Award date13 Apr 2007
    Place of PublicationEnschede / Delft
    Publisher
    Print ISBNs9036524650
    Publication statusPublished - 13 Apr 2007

    Keywords

    • METIS-239036
    • IR-57837

    Cite this

    Weijermars, W. (2007). Analysis of urban traffic patterns using clustering. Enschede / Delft: University of Twente.