{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/83149"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/83149","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Development of a Car -Following Model to Simulate Driver and Autonomous Intelligent Cruise Controlled Vehicular Traffic Flow","abstract":"INTELSIM model was also utilized to study traffic flow characteristics of a mix of driver controlled (DC) and AICC vehicles as well as all AICC vehicles. INTELSIM algorithm provided stability in AICC platoons and performed well in a variety of traffic situations including stop-and-go conditions. AICC vehicles can provide volumes of up to 7400, 5200 and 3100 veh/hr at separation headways of 0.3, 0.5 and 1 sec, respectively, at speeds of 90 ft/sec. These volumes are much greater than those obtained by DC cars. The traffic density and volumes of traffic mixed with AICC and DC vehicles were also examined. Macroscopic traffic flow equations to represent AICC vehicular traffic were found.","abstract_html":"INTELSIM model was also utilized to study traffic flow characteristics of a mix of driver controlled (DC) and AICC vehicles as well as all AICC vehicles. INTELSIM algorithm provided stability in AICC platoons and performed well in a variety of traffic situations including stop-and-go conditions. AICC vehicles can provide volumes of up to 7400, 5200 and 3100 veh/hr at separation headways of 0.3, 0.5 and 1 sec, respectively, at speeds of 90 ft/sec. These volumes are much greater than those obtained by DC cars. The traffic density and volumes of traffic mixed with AICC and DC vehicles were also examined. Macroscopic traffic flow equations to represent AICC vehicular traffic were found.","abstract_has_math":false,"creators":["Aycin, Murat Fahrettin"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Civil Engineering","degree_department":null,"school":null,"contributors":["Benekohal, Rahim F."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T21:03:03Z","date_published":"2015-09-25T21:03:03Z","updated_at":"2026-07-22T22:26:20Z","subjects":["Transportation"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3017016"],"render_values":[{"text":"(MiAaPQ)AAI3017016","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/83149","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Benekohal, Rahim F."]},{"key":"dc:creator","label":"Author","values":["Aycin, Murat Fahrettin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T21:03:03Z","10000-01-01","2001"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Transportation"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/83149","(MiAaPQ)AAI3017016"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["INTELSIM model was also utilized to study traffic flow characteristics of a mix of driver controlled (DC) and AICC vehicles as well as all AICC vehicles. INTELSIM algorithm provided stability in AICC platoons and performed well in a variety of traffic situations including stop-and-go conditions. AICC vehicles can provide volumes of up to 7400, 5200 and 3100 veh/hr at separation headways of 0.3, 0.5 and 1 sec, respectively, at speeds of 90 ft/sec. These volumes are much greater than those obtained by DC cars. The traffic density and volumes of traffic mixed with AICC and DC vehicles were also examined. Macroscopic traffic flow equations to represent AICC vehicular traffic were found.","Made available in DSpace on 2015-09-25T21:03:03Z (GMT). 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INTELSIM algorithm provided stability in AICC platoons and performed well in a variety of traffic situations including stop-and-go conditions. AICC vehicles can provide volumes of up to 7400, 5200 and 3100 veh/hr at separation headways of 0.3, 0.5 and 1 sec, respectively, at speeds of 90 ft/sec. These volumes are much greater than those obtained by DC cars. The traffic density and volumes of traffic mixed with AICC and DC vehicles were also examined. Macroscopic traffic flow equations to represent AICC vehicular traffic were found.","Made available in DSpace on 2015-09-25T21:03:03Z (GMT). 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