Worst-Case Response Time of Mixed Vehicles at Complex Intersections

Simple item page
dc.contributor.authorReddy, Radha
dc.contributor.authorAlmeida, Luis
dc.contributor.authorKurunathan, Harrison
dc.contributor.authorGaitan, Miguel Gutierrez
dc.contributor.authorSantos, Pedro M.
dc.contributor.authorTovar, Eduardo
dc.date.accessioned2025-01-20T17:07:50Z
dc.date.available2025-01-20T17:07:50Z
dc.date.issued2024
dc.description.abstractOperating autonomous vehicles (AVs) and human-driven vehicles (HVs) at urban intersections while observing requirements of safety and service level is complex due not only to the existence of multiple inflow and outflow lanes, conflicting crossing zones, and low-speed conditions but also due to differences between control mechanisms of HVs and AVs. Intelligent intersection management (IIM) strategies can tackle the coordination of mixed AV/HV intersections while improving intersection throughput and reducing travel delays and fuel wastage in the average case. An endeavor relevant to traffic planning and safety is assessing whether given worst-case service levels can be met. Given a specific arrival pattern, this can be done via the worst-case response time (WCRT) that any vehicle experiences when crossing intersections. In this research line, this paper estimates WCRT upper bounds and discusses the analytical characterization of arrival and service curves, including estimating maximum queue length and associated worst-case waiting time for various traffic arrival patterns. This analysis is then used to compare six state-of-the-art intersection management approaches from conventional to intelligent and synchronous. The analytical results show the advantage of employing a synchronous management approach and are validated with the vehicles floating car data (timestamped location and speed) and simulations carried out using SUMO.
dc.description.funderFCT/MCTES (Portuguese Foundation for Science and Technology)
dc.fuente.origenWOS
dc.identifier.doi10.1109/OJITS.2024.3368797
dc.identifier.eissn2687-7813
dc.identifier.urihttps://doi.org/10.1109/OJITS.2024.3368797
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/90899
dc.identifier.wosidWOS:001188286000001
dc.language.isoen
dc.pagina.final201
dc.pagina.inicio186
dc.revistaIeee open journal of intelligent transportation systems
dc.rightsacceso restringido
dc.subjectRoads
dc.subjectTime factors
dc.subjectProtocols
dc.subjectDelays
dc.subjectAnalytical models
dc.subjectThroughput
dc.subjectMeasurement
dc.subjectmanagement
dc.subjectintelligent transportation systems
dc.subjectmixed traffic
dc.subjecttraffic waiting time
dc.subjecturban traffic management
dc.subject.ods11 Sustainable Cities and Communities
dc.subject.odspa11 Ciudades y comunidades sostenibles
dc.titleWorst-Case Response Time of Mixed Vehicles at Complex Intersections
dc.typeartículo
dc.volumen5
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Worst-Case Response.pdf
Size:
3.44 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Artículos de revistas