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The Surface Accelerations Reference— A Large-Scale, Interactive Catalog of Passenger Vehicle Accelerations

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dc.contributor.authorAli, Gibranen
dc.contributor.authorMcLaughlin, Shaneen
dc.contributor.authorAhmadian, Mehdien
dc.date.accessioned2023-05-05T12:10:41Zen
dc.date.available2023-05-05T12:10:41Zen
dc.date.issued2023-04en
dc.description.abstractThere is a need for a large-scale, real world, diverse, and context rich vehicle acceleration catalog that can be used to design, analyze, and compare various intelligent transportation systems. This paper fulfills three primary objectives. First, it provides such a catalog through the Surface Accelerations Reference, which is openly available as an interactive analytics tool as well as an open and downloadable dataset. The Surface Accelerations Reference statistically describes the driving profiles of about 3,500 individuals contributing 34 million miles of continuous driving data collected in the Second Strategic Highway Research Program Naturalistic Driving Study (SHRP 2 NDS). These profiles were created by summarizing billions of longitudinal and lateral acceleration epochs experienced by the participants. Second, this paper introduces a standardized methodology for creating such a catalog so that similar acceleration profiles can be produced for other human cohorts or automated driving systems. Finally, the data are used to analyze the effect of roadway speed category on the rates of lateral and longitudinal acceleration epochs at various thresholds. It is observed that, for the median driver, the rates of epochs are up to three orders of magnitude higher on low-speed roads as compared to high-speed roads. This catalog will facilitate intelligent vehicle system designers to compare and tune their systems for safer driving experiences. It will also allow agencies with similar data to create comparable catalogs facilitating safety and behavioral comparisons between populations. Datasets: <a href="https://github.com/gibran-ali/surface-accelerations-reference">https://github.com/gibran-ali/surface-accelerations-reference</a>.en
dc.description.sponsorshipThis work was supported by The National Surface Transportation Safety Center for Excellence (NSTSCE) at Virginia Tech Transportation Institute (VTTI).en
dc.description.versionAccepted versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/TITS.2023.3267844en
dc.identifier.eissn1558-0016en
dc.identifier.issn1524-9050en
dc.identifier.urihttp://hdl.handle.net/10919/114928en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urihttps://github.com/gibran-ali/surface-accelerations-referenceen
dc.subjectVehicle accelerationsen
dc.subjectDriving styleen
dc.subjectDriving comforten
dc.subjectBig data analyticsen
dc.subjectAutonomous vehicle driving styleen
dc.titleThe Surface Accelerations Reference— A Large-Scale, Interactive Catalog of Passenger Vehicle Accelerationsen
dc.title.serialIEEE Transactions on Intelligent Transportation Systemsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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