License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.ATMOS.2017.9
URN: urn:nbn:de:0030-drops-79005
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7900/
Scheffler, Robert ;
Strehler, Martin
Optimizing Traffic Signal Settings for Public Transport Priority
Abstract
In order to promote public transport many municipalities use traffic signal control with a priority for buses or trams. In this paper, we address the problem of finding optimal passive transit signal priority settings. Building on a cyclically time-expanded network model for the combined traffic assignment traffic signal coordination problem, we introduce a suitable queuing model and several modifications to model public transport vehicles appropriately. We evaluate the applicability of this approach by computing and analyzing optimal solutions for several instances of a real-world scenario.
BibTeX - Entry
@InProceedings{scheffler_et_al:OASIcs:2017:7900,
author = {Robert Scheffler and Martin Strehler},
title = {{Optimizing Traffic Signal Settings for Public Transport Priority}},
booktitle = {17th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2017)},
pages = {9:1--9:15},
series = {OpenAccess Series in Informatics (OASIcs)},
ISBN = {978-3-95977-042-2},
ISSN = {2190-6807},
year = {2017},
volume = {59},
editor = {Gianlorenzo D'Angelo and Twan Dollevoet},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2017/7900},
URN = {urn:nbn:de:0030-drops-79005},
doi = {10.4230/OASIcs.ATMOS.2017.9},
annote = {Keywords: transit signal priority, traffic flow, traffic signal optimization, cyclically time-expanded network, public transport}
}
Keywords: |
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transit signal priority, traffic flow, traffic signal optimization, cyclically time-expanded network, public transport |
Collection: |
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17th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2017) |
Issue Date: |
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2017 |
Date of publication: |
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04.09.2017 |