Development of an Asymmetric Car-Following Model and Simulation Validation

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dc.contributor.authorPark, Minjuko
dc.contributor.authorKim, Yeeunko
dc.contributor.authorYeo, Hwasooko
dc.date.accessioned2020-08-25T07:55:09Z-
dc.date.available2020-08-25T07:55:09Z-
dc.date.created2020-08-18-
dc.date.issued2020-08-
dc.identifier.citationIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v.21, no.8, pp.3513 - 3524-
dc.identifier.issn1524-9050-
dc.identifier.urihttp://hdl.handle.net/10203/275963-
dc.description.abstractNumerous car-following models have been developed since the 1950s. However, there still exist many traffic phenomena that cannot be demonstrated using the existing models. Therefore, this research proposed a new car-following model, the Asymmetric car-following (ACF) model based on the understanding of driver's asymmetric behavior, which can explain complex traffic phenomena. We established the asymmetric car-following (ACF) rule under the vehicle's safety constraints using eight parameters that indicate the driver's characteristics and vehicle's performances. To evaluate the ACF model, we performed the simulation for car-following pairs and conducted a comparison analysis with the existing models: Newell, Gipps, GM, and IDM. As a result, the proposed ACF model showed good fitness with the empirical trajectory and the apparent asymmetric behavior compared to others. For further investigation in the congested traffic stream, we simulated a group of vehicles by adding an error term to represent the driver's unexpected behavior. The simulation showed growth, propagation, and dissipation of the stop-and-go traffic. These results proved that the ACF model has the strength to elaborate on various traffic phenomena, such as traffic hysteresis and stop-and-go traffic.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleDevelopment of an Asymmetric Car-Following Model and Simulation Validation-
dc.typeArticle-
dc.identifier.wosid000554907200032-
dc.type.rimsART-
dc.citation.volume21-
dc.citation.issue8-
dc.citation.beginningpage3513-
dc.citation.endingpage3524-
dc.citation.publicationnameIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS-
dc.identifier.doi10.1109/TITS.2019.2930320-
dc.contributor.localauthorYeo, Hwasoo-
dc.contributor.nonIdAuthorPark, Minju-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorAcceleration-
dc.subject.keywordAuthorVehicles-
dc.subject.keywordAuthorSafety-
dc.subject.keywordAuthorAnalytical models-
dc.subject.keywordAuthorHysteresis-
dc.subject.keywordAuthorTrajectory-
dc.subject.keywordAuthorMicroscopy-
dc.subject.keywordAuthorCar-following model-
dc.subject.keywordAuthorasymmetric behavior-
dc.subject.keywordAuthorstop-and-go traffic-
dc.subject.keywordAuthorhysteresis phenomenon-
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