Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/28862
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dc.contributor.authorTAFIDIS, Pavlos-
dc.contributor.authorPIRDAVANI, Ali-
dc.contributor.authorBRIJS, Tom-
dc.contributor.authorFarah, Haneen-
dc.date.accessioned2019-08-02T09:42:49Z-
dc.date.available2019-08-02T09:42:49Z-
dc.date.issued2019-
dc.identifier.citationZhang, Lei; Ma, Jianming; Liu, Pan; Zhang, Guangjun (Ed.). CICTP 2019: Transportation in China—Connecting the World,p. 2742-2750-
dc.identifier.isbn9780784482292-
dc.identifier.urihttp://hdl.handle.net/1942/28862-
dc.description.abstractProfessionals from various disciplines have been investing huge efforts in the last few decades in the development and deployment of connected and automated vehicles (CAVs). It is believed that CAVs can mitigate the main drawbacks of transport issues such as safety, emissions, and congestion. The main objective of this paper is to examine how intersection control types will affect the operation of automated vehicles (AVs) in urban areas. Since AVs implementation is still in its first steps and empirical data is not yet available, the microscopic traffic flow simulation software PTV Vissim was utilized. Different case studies based on commonly occurring intersection types were investigated in PTV Vissim under various AVs penetration rates. The results show that the introduction of AVs had a greater effect in the performance of uncontrolled intersections. Further research is required on the impact of AVs on safety and their interactions with vulnerable road users.-
dc.language.isoen-
dc.publisherASCE-
dc.subject.otherAutonomous vehicles-
dc.subject.otherMicrosimulation-
dc.subject.otherIntersection control type-
dc.titleIntersection control type effect on automated vehicle operation-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsZhang, Lei-
local.bibliographicCitation.authorsMa, Jianming-
local.bibliographicCitation.authorsLiu, Pan-
local.bibliographicCitation.authorsZhang, Guangjun-
local.bibliographicCitation.conferencedateJuly 6–8, 2019-
local.bibliographicCitation.conferencename19th COTA International Conference of Transportation Professionals-
local.bibliographicCitation.conferenceplaceNanjing, China-
dc.identifier.epage2750-
dc.identifier.spage2742-
local.bibliographicCitation.jcatC1-
local.publisher.placeUNITED ENGINEERING CENTER, 345 E 47TH ST, NEW YORK, NY 10017-2398 USA-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.doi10.1061/9780784482292.238-
dc.identifier.isi000694722100060-
local.provider.typeWeb of Science-
local.bibliographicCitation.btitleCICTP 2019: Transportation in China—Connecting the World-
local.uhasselt.internationalyes-
item.validationecoom 2022-
item.validationvabb 2022-
item.accessRightsRestricted Access-
item.fullcitationTAFIDIS, Pavlos; PIRDAVANI, Ali; BRIJS, Tom & Farah, Haneen (2019) Intersection control type effect on automated vehicle operation. In: Zhang, Lei; Ma, Jianming; Liu, Pan; Zhang, Guangjun (Ed.). CICTP 2019: Transportation in China—Connecting the World,p. 2742-2750.-
item.fulltextWith Fulltext-
item.contributorTAFIDIS, Pavlos-
item.contributorPIRDAVANI, Ali-
item.contributorBRIJS, Tom-
item.contributorFarah, Haneen-
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