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Work-In-Progress: Worst-Case Response Time of Intersection Management Protocols

2021-12-01Conference object Open access
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dc.contributor.authorReddy, Radha
dc.contributor.authorAlmeida, Luis
dc.contributor.authorGutiérrez Gaitán, Miguel
dc.contributor.authorKurunathan, John Harrison
dc.contributor.authorSantos, Pedro M.
dc.contributor.authorTovar, Eduardo
dc.date.accessioned2021-12-21T09:38:13Z
dc.date.available2021-12-21T09:38:13Z
dc.date.issued2021-12-01
dc.description.abstractIntersections are critical elements of urban traffic management and are identified as bottlenecks prone to traffic congestion and accidents. Intelligent intersection management plays a significant role in improving traffic efficiency and safety determining, among other metrics, the waiting time that vehicles incur when crossing an intersection. This work presents a preliminary analysis of the worst-case response time of intersection management protocols that handle mixed traffic with autonomous and human-driven vehicles. We deduce theoretical bounds for such time considered as the interval between the injection of a vehicle in the road system and its departure from the intersection, considering different intersection management protocols for mixed traffic, namely the Synchronous Intersection Management Protocol (SIMP) and several configurations of the conventional Round-Robin (RR) policy. Simulation results validate the analytical bounds partially. Ongoing work addresses thequeue dynamics and its reliable detection by traffic simulators.pt_PT
dc.description.sponsorshipThis work was supported by Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) through the Carnegie Mellon Portugal Program under Grant CMU/TIC/0022/2019 (CRUAV) and through the Research Unit UIDP/UIDB/04234/2020 (CISTER).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/RTSS52674.2021.00064pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/19176
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationUIDP/UIDB/04234/2020pt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9622327pt_PT
dc.subjectSmart Citiespt_PT
dc.subjectIntelligent Transportation Systemspt_PT
dc.subjectIntersection Managementpt_PT
dc.subjectWorst-Case Response Timept_PT
dc.titleWork-In-Progress: Worst-Case Response Time of Intersection Management Protocolspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/CMU%2FTIC%2F0022%2F2019/PT
oaire.citation.conferencePlaceDortmund, Germanypt_PT
oaire.citation.title2021 IEEE Real-Time Systems Symposium (RTSS)pt_PT
oaire.fundingStream3599-PPCDT
person.familyNameAlmeida
person.familyNameGutiérrez Gaitán
person.familyNameKurunathan
person.familyNameSalgueiro dos Santos
person.familyNameTovar
person.givenNameLuis
person.givenNameMiguel
person.givenNameJohn Harrison
person.givenNamePedro Miguel
person.givenNameEduardo
person.identifierR-000-9S3
person.identifier1490257
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person.identifier.ciencia-id6017-8881-11E8
person.identifier.orcid0000-0002-9544-3028
person.identifier.orcid0000-0002-3307-8731
person.identifier.orcid0000-0002-1270-1213
person.identifier.orcid0000-0002-7162-0560
person.identifier.orcid0000-0001-8979-3876
person.identifier.ridK-2054-2014
person.identifier.ridS-8733-2016
person.identifier.scopus-author-id35727555700
person.identifier.scopus-author-id57192172325
person.identifier.scopus-author-id54906968400
person.identifier.scopus-author-id7006312557
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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