TU Berlin

Main document

Literature Database Entry


Florian Hagenauer, "Self-Organizing Intersection Management," Master's Thesis, Institute of Computer Science, University of Innsbruck, July 2013. (Advisors: Christoph Sommer and Falko Dressler)


Physical traffic lights are built to make intersections safer. But they also have their downsides. On the one hand they can cost a lot of money, especially the price for deploying and maintenance is huge. On the other hand such lights let cars wait longer than needed. This may happen if a vehicle has to wait in front of a red light and no cars are approaching on the lanes having green. Virtual Traffic Lights (VTLs) try to solve these problems by using vehicle-to-vehicle communication to calculate who is allowed to drive. The displayed lights are moved to in-vehicular displays. This thesis' goal was to implement VTL for the coupled network and traffic simulator Veins. Such a combined framework allows a detailed evaluation of the proposed scheme. The simulations have shown that VTL indeed works and leads to a shorter travel time.

Quick access

BibTeX BibTeX


Florian Hagenauer

BibTeX reference

    author = {Hagenauer, Florian},
    title = {{Self-Organizing Intersection Management}},
    advisor = {Sommer, Christoph and Dressler, Falko},
    institution = {Institute of Computer Science},
    location = {Innsbruck, Austria},
    month = {7},
    school = {University of Innsbruck},
    type = {Master's Thesis},
    year = {2013},

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.


Featured Paper