DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Minju | ko |
dc.contributor.author | Kim, Yeeun | ko |
dc.contributor.author | Yeo, Hwasoo | ko |
dc.date.accessioned | 2020-08-25T07:55:09Z | - |
dc.date.available | 2020-08-25T07:55:09Z | - |
dc.date.created | 2020-08-18 | - |
dc.date.created | 2020-08-18 | - |
dc.date.created | 2020-08-18 | - |
dc.date.issued | 2020-08 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v.21, no.8, pp.3513 - 3524 | - |
dc.identifier.issn | 1524-9050 | - |
dc.identifier.uri | http://hdl.handle.net/10203/275963 | - |
dc.description.abstract | Numerous 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.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Development of an Asymmetric Car-Following Model and Simulation Validation | - |
dc.type | Article | - |
dc.identifier.wosid | 000554907200032 | - |
dc.identifier.scopusid | 2-s2.0-85076700016 | - |
dc.type.rims | ART | - |
dc.citation.volume | 21 | - |
dc.citation.issue | 8 | - |
dc.citation.beginningpage | 3513 | - |
dc.citation.endingpage | 3524 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | - |
dc.identifier.doi | 10.1109/TITS.2019.2930320 | - |
dc.contributor.localauthor | Yeo, Hwasoo | - |
dc.contributor.nonIdAuthor | Park, Minju | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Acceleration | - |
dc.subject.keywordAuthor | Vehicles | - |
dc.subject.keywordAuthor | Safety | - |
dc.subject.keywordAuthor | Analytical models | - |
dc.subject.keywordAuthor | Hysteresis | - |
dc.subject.keywordAuthor | Trajectory | - |
dc.subject.keywordAuthor | Microscopy | - |
dc.subject.keywordAuthor | Car-following model | - |
dc.subject.keywordAuthor | asymmetric behavior | - |
dc.subject.keywordAuthor | stop-and-go traffic | - |
dc.subject.keywordAuthor | hysteresis phenomenon | - |
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