Analysis of urban traffic patterns using clustering

Wendy Weijermars

Research output: ThesisPhD Thesis - Research UT, graduation UTAcademic

308 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.
Weijermars, Wendy. / Analysis of urban traffic patterns using clustering. Enschede / Delft : University of Twente, 2007. 203 p.
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keywords = "METIS-239036, IR-57837",
author = "Wendy Weijermars",
year = "2007",
month = "4",
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isbn = "9036524650",
publisher = "University of Twente",
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Weijermars, W 2007, 'Analysis of urban traffic patterns using clustering', University of Twente, Enschede / Delft.

Analysis of urban traffic patterns using clustering. / Weijermars, Wendy.

Enschede / Delft : University of Twente, 2007. 203 p.

Research output: ThesisPhD Thesis - Research UT, graduation UTAcademic

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T1 - Analysis of urban traffic patterns using clustering

AU - Weijermars, Wendy

PY - 2007/4/13

Y1 - 2007/4/13

N2 - 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.

AB - 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.

KW - METIS-239036

KW - IR-57837

M3 - PhD Thesis - Research UT, graduation UT

SN - 9036524650

PB - University of Twente

CY - Enschede / Delft

ER -

Weijermars W. Analysis of urban traffic patterns using clustering. Enschede / Delft: University of Twente, 2007. 203 p.