{"id":"https://openalex.org/W2982598415","doi":"https://doi.org/10.1109/mtits.2019.8883380","title":"Solving Traffic Signal Setting Problem Using Machine Learning","display_name":"Solving Traffic Signal Setting Problem Using Machine Learning","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2982598415","doi":"https://doi.org/10.1109/mtits.2019.8883380","mag":"2982598415"},"language":"en","primary_location":{"id":"doi:10.1109/mtits.2019.8883380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mtits.2019.8883380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ruj.uj.edu.pl/xmlui/handle/item/148615","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102002347","display_name":"Pawe\u0142 G\u00f3ra","orcid":"https://orcid.org/0000-0002-8037-5704"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pawel Gora","raw_affiliation_strings":["TensorCell"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TensorCell","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046415071","display_name":"Marcin Mo\u017cejko","orcid":"https://orcid.org/0000-0002-5631-0046"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marcin Mozejko","raw_affiliation_strings":["TensorCell"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TensorCell","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002434333","display_name":"Maciej Brzeski","orcid":"https://orcid.org/0000-0001-6725-0889"},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Maciej Brzeski","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Jagiellonian University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Jagiellonian University","institution_ids":["https://openalex.org/I126596746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087043785","display_name":"Katarzyna Karnas","orcid":"https://orcid.org/0000-0002-7153-8700"},"institutions":[{"id":"https://openalex.org/I3019243323","display_name":"Center for Theoretical Physics","ror":"https://ror.org/04kfyt897","country_code":"PL","type":"facility","lineage":["https://openalex.org/I3019243323","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Katarzyna Karnas","raw_affiliation_strings":["Center for Theoretical Physics, Polish Academy of Sciences","TensorCell"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Theoretical Physics, Polish Academy of Sciences","institution_ids":["https://openalex.org/I3019243323","https://openalex.org/I99542240"]},{"raw_affiliation_string":"TensorCell","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059371136","display_name":"Przemys\u0142aw Przybyszewski","orcid":null},"institutions":[{"id":"https://openalex.org/I18193975","display_name":"SGH Warsaw School of Economics","ror":"https://ror.org/032cph770","country_code":"PL","type":"education","lineage":["https://openalex.org/I18193975"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Przemyslaw Przybyszewski","raw_affiliation_strings":["Collegium of Economic Analysis, Warsaw School of Economics","TensorCell"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collegium of Economic Analysis, Warsaw School of Economics","institution_ids":["https://openalex.org/I18193975"]},{"raw_affiliation_string":"TensorCell","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081882425","display_name":"Arkadiusz Klemenko","orcid":"https://orcid.org/0000-0002-4903-7264"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arkadiusz Klemenko","raw_affiliation_strings":["TensorCell"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TensorCell","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056557571","display_name":"Adrian Kocha\u0144ski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adrian Kochanski","raw_affiliation_strings":["TensorCell"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TensorCell","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098567710","display_name":"Hubert Dryja","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hubert Dryja","raw_affiliation_strings":["TensorCell"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TensorCell","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009944372","display_name":"Magdalena Kukawska","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Magdalena Kukawska","raw_affiliation_strings":["TensorCell"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TensorCell","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035805339","display_name":"Dawid Kopczyk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dawid Kopczyk","raw_affiliation_strings":["Research Department Quantee, Warsaw, Poland","TensorCell"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Department Quantee, Warsaw, Poland","institution_ids":[]},{"raw_affiliation_string":"TensorCell","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.156,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55140836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.994700014591217,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.994700014591217,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.768577516078949},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.6714286804199219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5649181008338928},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5610414743423462},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5481704473495483},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4648647904396057},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41193121671676636},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3567996025085449}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.768577516078949},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.6714286804199219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5649181008338928},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5610414743423462},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5481704473495483},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4648647904396057},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41193121671676636},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3567996025085449},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mtits.2019.8883380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mtits.2019.8883380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","raw_type":"proceedings-article"},{"id":"pmh:oai:ruj.uj.edu.pl:item/148615","is_oa":true,"landing_page_url":"https://ruj.uj.edu.pl/xmlui/handle/item/148615","pdf_url":null,"source":{"id":"https://openalex.org/S4306401249","display_name":"Jagiellonian University Repository (Jagiellonian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126596746","host_organization_name":"Jagiellonian University","host_organization_lineage":["https://openalex.org/I126596746"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:ruj.uj.edu.pl:item/148615","is_oa":true,"landing_page_url":"https://ruj.uj.edu.pl/xmlui/handle/item/148615","pdf_url":null,"source":{"id":"https://openalex.org/S4306401249","display_name":"Jagiellonian University Repository (Jagiellonian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126596746","host_organization_name":"Jagiellonian University","host_organization_lineage":["https://openalex.org/I126596746"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W3884186","https://openalex.org/W137706053","https://openalex.org/W1563776837","https://openalex.org/W2069353448","https://openalex.org/W2095705004","https://openalex.org/W2097571405","https://openalex.org/W2103496339","https://openalex.org/W2106411961","https://openalex.org/W2152195021","https://openalex.org/W2154376416","https://openalex.org/W2156151304","https://openalex.org/W2194775991","https://openalex.org/W2295598076","https://openalex.org/W2339500526","https://openalex.org/W2403858523","https://openalex.org/W2481255409","https://openalex.org/W2543580944","https://openalex.org/W2737973201","https://openalex.org/W2743527131","https://openalex.org/W2768348081","https://openalex.org/W2902368927","https://openalex.org/W3102476541","https://openalex.org/W4212899374","https://openalex.org/W4248813438","https://openalex.org/W4250843460","https://openalex.org/W6605628140","https://openalex.org/W6656227472","https://openalex.org/W6674330103","https://openalex.org/W6676179485","https://openalex.org/W6682351736","https://openalex.org/W6713579967","https://openalex.org/W6721917189","https://openalex.org/W6745609711","https://openalex.org/W6756663550","https://openalex.org/W7065603513"],"related_works":["https://openalex.org/W2372415543","https://openalex.org/W2354205711","https://openalex.org/W2788695490","https://openalex.org/W2808717917","https://openalex.org/W2377292223","https://openalex.org/W2366584243","https://openalex.org/W2376563992","https://openalex.org/W2360006733","https://openalex.org/W4304590249","https://openalex.org/W2366368367"],"abstract_inverted_index":{"We":[0,55,125],"present":[1,56],"a":[2,38,84,120],"method":[3,22],"for":[4,13],"optimizing":[5],"traffic":[6,19,40,115,132],"signal":[7,116],"settings":[8,32],"which":[9,118],"can":[10],"be":[11],"used":[12],"offline":[14],"planning":[15],"and":[16,33,61,65,96,112,122],"realtime":[17],"adaptive":[18],"management.":[20],"The":[21],"is":[23,119],"based":[24],"on":[25,83],"metaheuristics":[26],"efficiently":[27],"exploring":[28],"space":[29],"of":[30,44,58,88,106,108,114,131],"possible":[31],"evaluating":[34],"candidate":[35],"solutions":[36],"using":[37,47],"microscopic":[39],"simulation":[41],"or":[42],"metamodels":[43],"simulations":[45],"built":[46],"machine":[48],"learning":[49],"algorithms":[50,64,135],"(e.g.,":[51],"neural":[52,102],"networks,":[53],"LightGBM).":[54],"results":[57,139],"extensive":[59],"experiments":[60],"compare":[62],"different":[63],"their":[66],"configurations":[67],"in":[68,75,104,129],"order":[69],"to":[70,141],"find":[71],"the":[72,93,137],"best":[73,138],"approach":[74],"our":[76],"use":[77],"case.":[78],"Experiments":[79],"were":[80],"carried":[81],"out":[82],"realistic":[85],"road":[86],"network":[87],"Warsaw":[89],"(maps":[90],"originated":[91],"from":[92],"OpenStreetMap":[94],"service)":[95],"showed":[97],"that":[98,128],"LightGBM":[99],"may":[100],"outperform":[101],"networks":[103],"terms":[105,130],"accuracy":[107],"approximations,":[109],"time":[110],"efficiency":[111],"optimality":[113],"settings,":[117],"new":[121],"important":[123],"result.":[124],"also":[126],"show":[127],"optimization":[133],"genetic":[134],"give":[136],"comparing":[140],"other":[142],"metaheuristics.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}