{"data":{"id":"10.4121/91308654-6467-49c5-be0f-12b056e42ec7","type":"dois","attributes":{"doi":"10.4121/91308654-6467-49c5-be0f-12b056e42ec7","prefix":"10.4121","suffix":"91308654-6467-49c5-be0f-12b056e42ec7","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Reddy, Nagarjun","nameType":"Personal","givenName":"Nagarjun","familyName":"Reddy","nameIdentifiers":[{"nameIdentifier":"0000-0002-9523-4453","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Haneen Farah","nameType":"Personal","affiliation":[],"nameIdentifiers":[{"nameIdentifier":"0000-0002-2919-0253","nameIdentifierScheme":"https://orcid.org/"}]}],"titles":[{"title":"Driving simulator dataset on human driven vehicles' speed compliance under variable speed limits in mixed traffic with automated vehicles"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2025,"subjects":[{"subject":"Civil Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0905"},{"subject":"FOS: Civil engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Ground Transport","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8801"},{"subject":"Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"09"},{"subject":"Transport","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"88"},{"subject":"Automated vehicles"},{"subject":"Mixed traffic"},{"subject":"Dynamic speed limits"},{"subject":"Connected vehicles"},{"subject":"Variable message signs"},{"subject":"Time: 2021"}],"contributors":[{"name":"TU Delft, Faculty Of Civil Engineering And Geosciences, Department Of Transport And Planning, Traffic Systems Engineering","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2025-03-13","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"References","relatedIdentifier":"http://resolver.tudelft.nl/uuid:b2bf818d-1cc9-40fb-8515-eef9b8eb348a","relatedIdentifierType":"URL"},{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/91308654-6467-49c5-be0f-12b056e42ec7.v1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["Data /.csv Data /.xlsx Jupyternotebooks /.ipynb"],"version":"1","rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This research is based on data gathered in 2020 at Delft University of Technology. This dataset is from a driving simulator experiment, whose goal was to study human drivers' behaviour in mixed traffic, which has both human-driven vehicles and connected and automated vehicles (CAVs).\u003cbr\u003eThe driving simulator used is located at the Transport \u0026amp; Planning department of Delft University in the Netherlands. It operates using the SCANeR (v1.9) software by AV Simulation. It is a fixed base driving simulator equipped with a Fanatec steering wheel and pedals, a dashboard mock-up, and three 4 K high-resolution screens which approximately provide 180° vision.\u003cbr\u003eThe dataset consists of 36 participants, over different ages and both males and females.\u003cbr\u003eThe route in the driving simulator consisted of a motorway with a defined speed limit of 100 km/h. On the motorway, drivers also experienced dynamic speed limit sections, where a decreasing speed limit from 100 to 70 to 50, and again back to 100 was applied. A depiction of the route is attached in this dataset information.\u003cbr\u003eEach driver drove 7 scenarios. The scenarios were defined using two variables: the penetration rate of CAVs (0%, 10% and 40%) and the distance of speed limit information provision to CAVs (300 m, 600 m, and 900 m).\u003cbr\u003eMore details about the experiment set-up itself can be found in the master thesis: http://resolver.tudelft.nl/uuid:b2bf818d-1cc9-40fb-8515-eef9b8eb348a\u003cbr\u003e\u003cstrong\u003eAttached files:\u003c/strong\u003eProcessed datasetReadMe fileData processing scripts\u003cbr\u003e\u003cstrong\u003eFile formats:\u003c/strong\u003eData /.csvData /.xlsxJupyternotebooks /.ipynb","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[{"awardTitle":"Safe and efficient operation of AutoMated and human drivEN vehicles in mixed traffic","funderName":"Applied and Technical Sciences (TTW), a subdomain of the Dutch Institute for Scientific Research 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