Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Impact of parking maneuvers on space mean speed and average travel time.
KTH, School of Architecture and the Built Environment (ABE), Transport Science.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Parking maneuver is one among the numerous factors which affect the traffic movement. In this thesis work the impact of parking maneuvers and double parking on the traffic performance of urban street segments is studied. In order to analyze the traffic performance, the impact on the travel time and space mean speed is studied. Two approaches are used for the study; the Micro analysis and Macro analysis. In the Micro analysis the study is not time bounded. The impact of individual vehicles is studied against the event of interest. These events include inbound parking maneuvers, outbound parking maneuvers, double parking and the load/unload activities. On the other hand for the Macro study the events in a five minute interval are studied for eight and a half hour for each site. Each five minute interval is taken as a single data input for the regression analysis. To study the impact on travel time speed trajectory is used and to study the space mean speed regression analysis is used. According to this study the parking maneuvers give rise to a speed reduction of almost 2 Km/hr and double parking 7km/hr. Similarly, the load/unload maneuvers cause a speed reduction of 3Km/hr.

Normally two basic tasks are included in this thesis work; data reduction and data analysis. The raw data for this thesis work is a video recording of 8 and half hours for four different spots. Regression analysis and speed trajectory are the main analysis approaches employed for the data analysis. Speed trajectory is used for the Micro analysis and regression analysis is used for the Macro analysis.

Place, publisher, year, edition, pages
2011.
Series
TSC-MT, TSC-MT 11-020
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-38920OAI: oai:DiVA.org:kth-38920DiVA: diva2:438480
Uppsok
Technology
Available from: 2011-10-10 Created: 2011-09-02 Last updated: 2011-10-10Bibliographically approved

Open Access in DiVA

fulltext(1317 kB)507 downloads
File information
File name FULLTEXT01.pdfFile size 1317 kBChecksum SHA-512
17d109b6d96f082dd024dc73bbd5a5c00f5517370ba1ebe3654af909f67bb01a632d3a13b7052cc85eb9caede30632c113a7d748881d29e522c639bb498a4f84
Type fulltextMimetype application/pdf

By organisation
Transport Science
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 507 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 280 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf