{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/64720"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/64720","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Development of a strategy model of the driver","abstract":"Based upon vehicle constraints and known human operator characteristics, a class of strategy models was postulated for describing driver behavior in the lane-keeping task, To verify the appropriateness of this class of models, 10 student subjects were chosen to be modeled. Each subject performed the lane-keeping task in a highway driving simulator for five minutes. Each subject's time histories of steering, lateral position, and yaw angle provided a basis for estimating the driver parameters necessary to specify an appropriate model of the subject. Ten driver models were then programmed to describe the 10 subjects, respectively. Each model was run over the same course, and experienced the same conditions as its corresponding subject. Regression analysis provided a means of comparing subject and model responses. The models developed were found to be effective in describing the responses of the 10 subjects, respectively.","abstract_html":"Based upon vehicle constraints and known human operator characteristics, a class of strategy models was postulated for describing driver behavior in the lane-keeping task, To verify the appropriateness of this class of models, 10 student subjects were chosen to be modeled. Each subject performed the lane-keeping task in a highway driving simulator for five minutes. Each subject's time histories of steering, lateral position, and yaw angle provided a basis for estimating the driver parameters necessary to specify an appropriate model of the subject. Ten driver models were then programmed to describe the 10 subjects, respectively. Each model was run over the same course, and experienced the same conditions as its corresponding subject. Regression analysis provided a means of comparing subject and model responses. The models developed were found to be effective in describing the responses of the 10 subjects, respectively.","abstract_has_math":false,"creators":["Carson, James M."],"institution":"Virginia Polytechnic Institute and State University","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Industrial Engineering and Operations Research","degree_department":"Industrial Engineering and Operations Research","school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1975,"date_issued":"1975","date_published":"1975","updated_at":"2026-07-22T22:20:20Z","subjects":[],"languages":["en"],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10919/64720","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.department","label":"Department","values":["Industrial Engineering and Operations Research"]},{"key":"dc:creator","label":"Author","values":["Carson, James M."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2016-02-01T18:05:48Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2016-02-01T18:05:48Z"]},{"key":"dc:date.issued","label":"Date","values":["1975"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Polytechnic Institute and State University"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.dcmitype","label":"Dc Type Dcmitype","values":["Text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Industrial Engineering and Operations Research"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/64720"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Based upon vehicle constraints and known human operator characteristics, a class of strategy models was postulated for describing driver behavior in the lane-keeping task, To verify the appropriateness of this class of models, 10 student subjects were chosen to be modeled. Each subject performed the lane-keeping task in a highway driving simulator for five minutes. Each subject's time histories of steering, lateral position, and yaw angle provided a basis for estimating the driver parameters necessary to specify an appropriate model of the subject. Ten driver models were then programmed to describe the 10 subjects, respectively. Each model was run over the same course, and experienced the same conditions as its corresponding subject. Regression analysis provided a means of comparing subject and model responses. The models developed were found to be effective in describing the responses of the 10 subjects, respectively."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Master of Science"]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Development of a strategy model of the driver"]}]}],"canonical_facts":{"dc:contributor.department":["Industrial Engineering and Operations Research"],"dc:creator":["Carson, James M."],"dc:date.accessioned":["2016-02-01T18:05:48Z"],"dc:date.available":["2016-02-01T18:05:48Z"],"dc:date.issued":["1975"],"dc:description.abstract":["Based upon vehicle constraints and known human operator characteristics, a class of strategy models was postulated for describing driver behavior in the lane-keeping task, To verify the appropriateness of this class of models, 10 student subjects were chosen to be modeled. Each subject performed the lane-keeping task in a highway driving simulator for five minutes. Each subject's time histories of steering, lateral position, and yaw angle provided a basis for estimating the driver parameters necessary to specify an appropriate model of the subject. Ten driver models were then programmed to describe the 10 subjects, respectively. Each model was run over the same course, and experienced the same conditions as its corresponding subject. Regression analysis provided a means of comparing subject and model responses. The models developed were found to be effective in describing the responses of the 10 subjects, respectively."],"dc:description.degree":["Master of Science"],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["http://hdl.handle.net/10919/64720"],"dc:language.iso":["en"],"dc:publisher":["Virginia Polytechnic Institute and State University"],"dc:rights":["In Copyright"],"dc:rights.uri":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:title":["Development of a strategy model of the driver"],"dc:type":["Thesis"],"dc:type.dcmitype":["Text"],"thesis:degree_discipline":["Industrial Engineering and Operations Research"],"thesis:degree_level":["masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["Virginia Polytechnic Institute and State University"]},"updated_at":"2026-07-22T22:20:20Z"}