Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Analyzing and comparing traffic network conditions with a quality tool based on floating car and stationary data
 
conference paper not in proceedings

Analyzing and comparing traffic network conditions with a quality tool based on floating car and stationary data

Brockfeld, Elmar
•
Wagner, Peter
•
Mikat, Jürgen
2008
ITS2008 - 15th World Congress on ITS

Cities with medium to high traffic volumes are expected to keep the traffic rolling in a most efficient way. Accidents, construction sites or large events are counteracting this effort. In addition, cities are facing the fact that traffic signal plans configured and optimized several years ago are no longer suitable for current traffic volumes. Expert knowledge of traffic engineers as well as reports from citizens may help to find out on irregular or inefficient traffic flow. However, in most cases it is fairly impossible to determine if observed deviations from the expected traffic conditions occur only once, periodically or permanently. Therefore there is a need to explore the causes for the changed traffic flows, and also for evaluating the impacts of construction sites, events, or changed traffic signal control plans in a systematic manner. For tackling this task, a prototype of a traffic quality analysis tool (TQAT) is developed by the German Aerospace Center (DLR). It is based on a tool which came into operation for the representation of recent traffic conditions during the soccer world championship 2006 in Germany in the police department of Cologne (1). The prototype of the TQAT is set up as an application for the City of Nuremberg within the project ORINOKO.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

ITS2008_TQAT_EB_2008-07-31.pdf

Access type

openaccess

Size

342.69 KB

Format

Adobe PDF

Checksum (MD5)

c3bc98399f9dcac759ea2bbeae9513f4

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés