Statistical Models of Interactions between Vehicles during Overtaking Maneuvers

Simple item page
dc.coverageDOI: 10.1177/03611981231184230
dc.creatorEspinoza, Joaquín
dc.creatorDelpiano, Rafael
dc.date2023
dc.date.accessioned2025-11-18T19:42:41Z
dc.date.available2025-11-18T19:42:41Z
dc.description<p>A practical challenge facing the adoption of self-driving vehicles is the complex influence of the lateral dimension in vehicle traffic. This phenomenon has received little attention in the literature and few quantitative descriptions of interactions between vehicles are available for model validation. This paper proposes an analysis of the kinematic variables describing vehicle interactions on both axes during overtaking maneuvers using linear as well as nonlinear and nonparametric models based on real-world highway data. The principal findings are as follows: (a) a mutual influence between pairs of vehicles, especially at small lateral separation distances; (b) the higher the longitudinal velocity, the greater the lateral distances, no doubt to avoid collisions; and (c) lateral accelerations that tend to narrow lateral distance are associated with longitudinal accelerations that tend to widen it. These results are consistent across the different models applied and also with previous studies.</p>eng
dc.identifierhttps://investigadores.uandes.cl/en/publications/a4701b17-cde8-4751-b710-deab4a90dd84
dc.identifier.urihttps://repositorio.uandes.cl/handle/uandes/52484
dc.languageeng
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourcevol.2678 (2023) date: 2023-07-13 nr.4 p.323 - 333
dc.subjectdata and data science
dc.subjectmicroscopic traffic simulation
dc.subjectoperations
dc.subjectspatial data
dc.subjecttraffic flow
dc.titleStatistical Models of Interactions between Vehicles during Overtaking Maneuverseng
dc.typeArticleeng
dc.typeArtículospa
Files
Collections
PURE