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dc.contributor.authorLaberteaux, Kenneth P.
dc.contributor.authorHamza, Karim
dc.contributor.authorBerger, Alan M
dc.contributor.authorBrown, Casey L.
dc.date.accessioned2020-03-17T17:44:21Z
dc.date.available2020-03-17T17:44:21Z
dc.date.issued2017-01
dc.identifier.issn0361-1981
dc.identifier.issn2169-4052
dc.identifier.urihttps://hdl.handle.net/1721.1/124147
dc.description.abstractVehicle automation has garnered a significant amount of interest in recent years. When the automated driving (AD) capability of a vehicle is assessed, it is important to distinguish between full automation, in which no human driver is required, and partial automation, in which a human driver may be required to intervene or take control of the vehicle occasionally for portions of the trip. This paper presents a method for assessing usage opportunities of partial AD in light-duty vehicle fleets. Key assumptions are that (a) the longer the time fraction of driving in which AD is active, the better, and (b) drivers will value having longer contiguous sections of AD-active time over having to frequently regain vehicle control. Given second-by-second records of real-world driving trips, the method uses a fuzzy inference system to estimate the fraction of driving time at a certain quality-of-use level. Performing the quality-of-use assessment for all trips and vehicles in a representative data set can then provide insight into the fraction of the population that would likely find partial AD desirable. To demonstrate the proposed method, data on vehicle trips from public travel surveys in California (California Household Travel Survey) and Atlanta, Georgia (Atlanta Regional Commission Travel Survey), were used along with simplified prototypical models for partial AD. Simulation results were generally in agreement with common perceptions but showed a wide range of possibilities, which could have been narrowed down further when more detailed trip data became available.en_US
dc.language.isoen
dc.publisherSAGE Publicationsen_US
dc.relation.isversionofhttp://dx.doi.org/10.3141/2625-05en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceProf. Berger via Jen Greenleafen_US
dc.titleMethod for Gauging Usage Opportunities for Partially Automated Vehicles with Application to Public Travel Survey Data Setsen_US
dc.typeArticleen_US
dc.identifier.citationLaberteaux, Kenneth P. et al. "Method for Gauging Usage Opportunities for Partially Automated Vehicles with Application to Public Travel Survey Data Sets." Transportation Research Record 2625 (January 2017): 43–50 © 2017 SAGE Publicationsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planningen_US
dc.relation.journalTransportation Research Recorden_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-03-10T13:13:57Z
dspace.date.submission2020-03-10T13:13:59Z
mit.journal.volume2625en_US
mit.journal.issue1en_US
mit.licenseOPEN_ACCESS_POLICY


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