Implementing an adaptive traffic signal control algorithm in an agent-based transport simulation

Simple item page
dc.contributor.authorKühnel, Nico
dc.contributor.authorThunig, Theresa
dc.contributor.authorNagel, Kai
dc.date.accessioned2018-11-26T10:23:39Z
dc.date.available2018-11-26T10:23:39Z
dc.date.issued2018
dc.description.abstractThis paper describes the implementation of the fully traffic adaptive signal control algorithm by Lämmer in the agent-based transport simulation MATSim. The implementation is tested at an illustrative, single intersection scenario and compared to the results of Lammers MATLAB simulation. Plausibility of the self-controlled signals and overall results can be confirmed. Small deviations can be explained by differences in flow simulation and resolution of simulation time steps. In the simulation of the illustrative intersection, the adaptive control is proved to be stable and, overall, superior to a fixed-time control. Constant vehicle arrivals are simulated to show the performance of the control and its underlying sub-strategies. The expected behavior of the algorithm and its implementation are validated by analyzing queue lengths over time. The adaptive control significantly outperforms the fixed-time control for stochastic demand, where its ability to dynamically react to changes in flow becomes important.en
dc.identifier.issn1877-0509
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/8549
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-7683
dc.language.isoen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc380 Handel, Kommunikation, Verkehrde
dc.subject.ddc004 Datenverarbeitung; Informatikde
dc.subject.otheradaptive traffic signal controlen
dc.subject.otherself-controlled traffic signalsen
dc.subject.otheragent-based transport simulationen
dc.subject.otherMATSimen
dc.titleImplementing an adaptive traffic signal control algorithm in an agent-based transport simulationen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1016/j.procs.2018.04.086
dcterms.bibliographicCitation.journaltitleProcedia Computer Scienceen
dcterms.bibliographicCitation.originalpublishernameElsevieren
dcterms.bibliographicCitation.originalpublisherplaceAmsterdam [u.a.]de
dcterms.bibliographicCitation.pageend899
dcterms.bibliographicCitation.pagestart894
dcterms.bibliographicCitation.volume130
tub.accessrights.dnbfree
tub.affiliationFak. 5 Verkehrs- und Maschinensysteme::Inst. Land- und Seeverkehr (ILS)::FG Verkehrssystemplanung und Verkehrstelematikde
tub.affiliation.facultyFak. 5 Verkehrs- und Maschinensystemede
tub.affiliation.groupFG Verkehrssystemplanung und Verkehrstelematikde
tub.affiliation.instituteInst. Land- und Seeverkehr (ILS)de
tub.publisher.universityorinstitutionTechnische Universität Berlinde
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
1-s2.0-S1877050918304484-main.pdf
Size:
757.7 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Publications