{"id":"https://openalex.org/W2911637835","doi":"https://doi.org/10.1109/uv.2018.8642115","title":"A Macroscopic Traffic Simulation Model to Mingle Manually Operated and Self-driving Cars","display_name":"A Macroscopic Traffic Simulation Model to Mingle Manually Operated and Self-driving Cars","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2911637835","doi":"https://doi.org/10.1109/uv.2018.8642115","mag":"2911637835"},"language":"en","primary_location":{"id":"doi:10.1109/uv.2018.8642115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uv.2018.8642115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Universal Village (UV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027561872","display_name":"Zihan Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Cao","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109414353","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0003-0993-9957"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Computer Science & Artificial Intelligence Lab, MIT, Cambridge, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science & Artificial Intelligence Lab, MIT, Cambridge, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010857391","display_name":"Longfei Zhou","orcid":"https://orcid.org/0000-0001-5322-8429"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longfei Zhou","raw_affiliation_strings":["Beijing Advanced Innovation, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103835188","display_name":"Yajun Fang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yajun Fang","raw_affiliation_strings":["Computer Science & Artificial Intelligence Lab, MIT, Cambridge, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science & Artificial Intelligence Lab, MIT, Cambridge, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080970223","display_name":"Berthold K. P. Horn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berthold K. P. Horn","raw_affiliation_strings":["Computer Science & Artificial Intelligence Lab, MIT, Cambridge, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science & Artificial Intelligence Lab, MIT, Cambridge, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1873,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.54915931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2018","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cellular-automaton","display_name":"Cellular automaton","score":0.816123902797699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7669245004653931},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5709797143936157},{"id":"https://openalex.org/keywords/self-driving","display_name":"Self driving","score":0.4550143778324127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44755154848098755},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.4368622899055481},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.42259398102760315},{"id":"https://openalex.org/keywords/traffic-simulation","display_name":"Traffic simulation","score":0.41581547260284424},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37113016843795776},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.15545985102653503},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13892009854316711}],"concepts":[{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.816123902797699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7669245004653931},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5709797143936157},{"id":"https://openalex.org/C3018391801","wikidata":"https://www.wikidata.org/wiki/Q741490","display_name":"Self driving","level":2,"score":0.4550143778324127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44755154848098755},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.4368622899055481},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.42259398102760315},{"id":"https://openalex.org/C2778391309","wikidata":"https://www.wikidata.org/wiki/Q7832527","display_name":"Traffic simulation","level":3,"score":0.41581547260284424},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37113016843795776},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.15545985102653503},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13892009854316711},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/uv.2018.8642115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uv.2018.8642115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Universal Village (UV)","raw_type":"proceedings-article"},{"id":"mag:3090586040","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902250441530786","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W315347717","https://openalex.org/W1568796181","https://openalex.org/W2064091103","https://openalex.org/W2137630110","https://openalex.org/W2154376416","https://openalex.org/W2493168586","https://openalex.org/W6611046789","https://openalex.org/W6634019276"],"related_works":["https://openalex.org/W3147154944","https://openalex.org/W165069742","https://openalex.org/W2460800366","https://openalex.org/W2076191395","https://openalex.org/W2376054592","https://openalex.org/W1510315598","https://openalex.org/W1795298394","https://openalex.org/W2384444790","https://openalex.org/W4313559112","https://openalex.org/W1963730371"],"abstract_inverted_index":{"As":[0],"the":[1,49,85,114,124],"rapid":[2],"development":[3],"of":[4,83,118],"AI,":[5],"computer":[6],"vision":[7],"and":[8,18,47,54,69,95,106,116,131],"automatic":[9],"control":[10],"technologies,":[11],"self-driving":[12,21,129],"cars":[13,22,130],"have":[14],"been":[15],"well":[16],"designed":[17],"developed.":[19],"Since":[20],"should":[23],"coexist":[24],"efficiently":[25],"with":[26,77],"human-driving":[27],"cars,":[28,84],"how":[29],"to":[30,44,91,103],"make":[31],"practical":[32],"strategies":[33,126],"for":[34,66,72,127],"them":[35],"is":[36,63],"increasingly":[37],"significant.":[38],"This":[39,109],"paper":[40,110],"optimizes":[41],"cellular":[42],"automaton":[43],"do":[45],"simulation":[46,68],"quantizes":[48],"human":[50,132],"factors":[51],"as":[52,56],"realistic":[53],"comprehensive":[55],"possible":[57],"based":[58],"on":[59],"spectral":[60],"clustering":[61],"which":[62,80],"very":[64],"suitable":[65],"large-scale":[67],"crowd":[70],"management":[71],"future":[73],"smart":[74],"cities.":[75],"Compared":[76],"traditional":[78],"analysis":[79],"record":[81],"trajectories":[82],"new":[86],"model":[87],"employs":[88],"unsupervised":[89],"learning":[90],"augment":[92],"average":[93],"speed":[94],"reduce":[96,104],"collision":[97],"time":[98],"by":[99],"realizing":[100],"algorithm":[101],"optimization":[102],"complexity":[105],"computational":[107],"cost.":[108],"not":[111],"only":[112],"demonstrates":[113],"progress":[115],"results":[117],"traffic":[119],"simulation,":[120],"but":[121],"also":[122],"illustrates":[123],"concrete":[125],"both":[128],"drivers.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}