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Traffic flow enhancement through guidance for driver based on GPS aided smartphones
KTH, School of Electrical Engineering (EES), Signal Processing.
2011 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Our roads are dealing with an increasing traffic and congestion problem. This problem have historically been solved by adding new roads, however this is an expensive solution. Technical solutions where human contributions to the traffic problem are minimized through automations of vehicles are being researched. However such solutions are still far from an introduction to the market.

This thesis presents a low-cost and broad solution to the traffic congestion problem using smartphones. By creating a smartphone application aided by a GPS-receiver one can produce a system that has the possibility to increase the capacity of the current road network. The develop system uses state optimization technique inspired by the research field of platooning with a two-vehicle look-ahead. To support the state optimization the use of map matching algorithm based on a point-tocurve- using-heading approach have been implemented along with an estimation based on linear interpolation. The thesis show that such a system, stated as above, is possible to develop and gave satisfying performance during a field test.

Place, publisher, year, edition, pages
2011. , 46 p.
Series
EES Examensarbete / Master Thesis, XR-EE-SB 2011:011
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-53441OAI: oai:DiVA.org:kth-53441DiVA: diva2:470076
Uppsok
Technology
Examiners
Available from: 2012-01-19 Created: 2011-12-28 Last updated: 2012-03-15Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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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