Bi-level optimal edge computing model for on-ramp merging in connected vehicle environment

Cited 11 time in webofscience Cited 0 time in scopus
  • Hit : 82
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorYe, Feiko
dc.contributor.authorGuo, Jianlinko
dc.contributor.authorKim, Kyeong Jinko
dc.contributor.authorOrlik, Philip V.ko
dc.contributor.authorAhn, Heejinko
dc.contributor.authorDi Cairano, Stefanoko
dc.contributor.authorBarth, Matthew J.ko
dc.date.accessioned2022-09-03T08:00:51Z-
dc.date.available2022-09-03T08:00:51Z-
dc.date.created2022-08-31-
dc.date.issued2019-06-11-
dc.identifier.citation30th IEEE Intelligent Vehicles Symposium, IV 2019, pp.2005 - 2011-
dc.identifier.issn1931-0587-
dc.identifier.urihttp://hdl.handle.net/10203/298295-
dc.description.abstractThe coordinated on-ramp merging is one of the most common but critical vehicular applications that require complex data transmission and low-latency communication in the Connected and Automated Vehicles (CAVs) environment. An effective way to address on-ramp merging is to leverage the edge computing to optimize the coordination among vehicles to achieve overall minimum vehicle travel time and energy consumption. In this study, we propose an Bi-level Optimal Edge Computing (BOEC) model for on-ramp merging in the CAVs environment to optimize both merge time and vehicle trajectory. The simulation results show that the proposed BOEC model achieves great benefits in vehicle mobility, energy saving and air pollutant emission reduction by providing an energy-efficient trajectory following the optimal merge time without compromising safety.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleBi-level optimal edge computing model for on-ramp merging in connected vehicle environment-
dc.typeConference-
dc.identifier.wosid000508184100263-
dc.identifier.scopusid2-s2.0-85072300550-
dc.type.rimsCONF-
dc.citation.beginningpage2005-
dc.citation.endingpage2011-
dc.citation.publicationname30th IEEE Intelligent Vehicles Symposium, IV 2019-
dc.identifier.conferencecountryFR-
dc.identifier.conferencelocationParis-
dc.identifier.doi10.1109/IVS.2019.8814096-
dc.contributor.localauthorAhn, Heejin-
dc.contributor.nonIdAuthorYe, Fei-
dc.contributor.nonIdAuthorGuo, Jianlin-
dc.contributor.nonIdAuthorKim, Kyeong Jin-
dc.contributor.nonIdAuthorOrlik, Philip V.-
dc.contributor.nonIdAuthorDi Cairano, Stefano-
dc.contributor.nonIdAuthorBarth, Matthew J.-
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 11 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0