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Intelligent Traffic Intersection Management Using Motion Planning for Autonomous Vehicles
KTH, School of Engineering Sciences (SCI).
KTH, School of Engineering Sciences (SCI).
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

With the increasing advances in the field of autonomousvehicles it is alluring to ask if a possible vehicularparadigm shift is in the near future. Maximizing road capacitywith Intelligent Traffic Intersections that communicate withautonomous vehicles could become a reality, where the needfor traffic lights and stop signs is excluded. In this paper, anAutonomous Intersection Management system is introduced thatutilizes trajectory-based prioritization and motion planning techniquesto manage traffic in an orthogonal single lane four-wayintersection. The developed system reduces the need for vehiclesto slow down or even stop before intersections, contrariwise, itlets all vehicles enter the intersection at the highest allowed speed.The proposed solution is shown to increase the capacity of intersectionscompared with contemporary intersections managedwith traffic lights.

Place, publisher, year, edition, pages
2017. , 12 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-210895OAI: oai:DiVA.org:kth-210895DiVA: diva2:1120852
Examiners
Available from: 2017-07-07 Created: 2017-07-07 Last updated: 2017-07-07Bibliographically approved

Open Access in DiVA

fulltext(755 kB)14 downloads
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79dce78973e06f8a63c829bdd92ced5cc5452779e2ce5340d839d370bc48eb69e069a0a9dbbdfd4c319d5e0b62d13ece2151997a18dc68a7710ee0740ef6adf7
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • 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