{"id":"https://openalex.org/W2157177347","doi":"https://doi.org/10.1109/itsc.2009.5309838","title":"Using a monte-carlo approach for bus regulation","display_name":"Using a monte-carlo approach for bus regulation","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2157177347","doi":"https://doi.org/10.1109/itsc.2009.5309838","mag":"2157177347"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2009.5309838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2009.5309838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","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/A5006305238","display_name":"Tristan Cazenave","orcid":"https://orcid.org/0000-0003-4669-9374"},"institutions":[{"id":"https://openalex.org/I56435720","display_name":"Universit\u00e9 Paris Dauphine-PSL","ror":"https://ror.org/052bz7812","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Tristan Cazenave","raw_affiliation_strings":["Place du Marechal de Lattre de Tassigny, University Paris-Dauphine - LAMSADE, France"],"affiliations":[{"raw_affiliation_string":"Place du Marechal de Lattre de Tassigny, University Paris-Dauphine - LAMSADE, France","institution_ids":["https://openalex.org/I56435720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066026209","display_name":"Flavien Balbo","orcid":"https://orcid.org/0000-0001-9153-0813"},"institutions":[{"id":"https://openalex.org/I56435720","display_name":"Universit\u00e9 Paris Dauphine-PSL","ror":"https://ror.org/052bz7812","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Flavien Balbo","raw_affiliation_strings":["Place du Marechal de Lattre de Tassigny, University Paris-Dauphine - LAMSADE, France"],"affiliations":[{"raw_affiliation_string":"Place du Marechal de Lattre de Tassigny, University Paris-Dauphine - LAMSADE, France","institution_ids":["https://openalex.org/I56435720"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091776773","display_name":"Suzanne Pinson","orcid":null},"institutions":[{"id":"https://openalex.org/I56435720","display_name":"Universit\u00e9 Paris Dauphine-PSL","ror":"https://ror.org/052bz7812","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Suzanne Pinson","raw_affiliation_strings":["Place du Marechal de Lattre de Tassigny, University Paris-Dauphine - LAMSADE, France"],"affiliations":[{"raw_affiliation_string":"Place du Marechal de Lattre de Tassigny, University Paris-Dauphine - LAMSADE, France","institution_ids":["https://openalex.org/I56435720"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006305238"],"corresponding_institution_ids":["https://openalex.org/I56435720"],"apc_list":null,"apc_paid":null,"fwci":0.8724,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81414092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"41","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9932000041007996,"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"}},{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/monte-carlo-method","display_name":"Monte Carlo method","score":0.9137985706329346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.724280059337616},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.5446375012397766},{"id":"https://openalex.org/keywords/hybrid-monte-carlo","display_name":"Hybrid Monte Carlo","score":0.5264183878898621},{"id":"https://openalex.org/keywords/monte-carlo-method-in-statistical-physics","display_name":"Monte Carlo method in statistical physics","score":0.5012075901031494},{"id":"https://openalex.org/keywords/quasi-monte-carlo-method","display_name":"Quasi-Monte Carlo method","score":0.46096253395080566},{"id":"https://openalex.org/keywords/monte-carlo-algorithm","display_name":"Monte Carlo algorithm","score":0.4352809190750122},{"id":"https://openalex.org/keywords/monte-carlo-integration","display_name":"Monte Carlo integration","score":0.4316871464252472},{"id":"https://openalex.org/keywords/monte-carlo-molecular-modeling","display_name":"Monte Carlo molecular modeling","score":0.4132747948169708},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3428518772125244},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.29165148735046387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16505396366119385},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0924934446811676}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.9137985706329346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.724280059337616},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.5446375012397766},{"id":"https://openalex.org/C13153151","wikidata":"https://www.wikidata.org/wiki/Q1639846","display_name":"Hybrid Monte Carlo","level":4,"score":0.5264183878898621},{"id":"https://openalex.org/C204493344","wikidata":"https://www.wikidata.org/wiki/Q6904698","display_name":"Monte Carlo method in statistical physics","level":5,"score":0.5012075901031494},{"id":"https://openalex.org/C63320529","wikidata":"https://www.wikidata.org/wiki/Q7269435","display_name":"Quasi-Monte Carlo method","level":5,"score":0.46096253395080566},{"id":"https://openalex.org/C15482360","wikidata":"https://www.wikidata.org/wiki/Q15238499","display_name":"Monte Carlo algorithm","level":3,"score":0.4352809190750122},{"id":"https://openalex.org/C132725507","wikidata":"https://www.wikidata.org/wiki/Q39879","display_name":"Monte Carlo integration","level":5,"score":0.4316871464252472},{"id":"https://openalex.org/C37669827","wikidata":"https://www.wikidata.org/wiki/Q6904703","display_name":"Monte Carlo molecular modeling","level":4,"score":0.4132747948169708},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3428518772125244},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.29165148735046387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16505396366119385},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0924934446811676},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2009.5309838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2009.5309838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W43710935","https://openalex.org/W155279979","https://openalex.org/W1515773341","https://openalex.org/W1522142408","https://openalex.org/W1558029025","https://openalex.org/W1588577747","https://openalex.org/W1970757947","https://openalex.org/W2020135152","https://openalex.org/W2072697499","https://openalex.org/W2100352262","https://openalex.org/W2124597594","https://openalex.org/W2137939385","https://openalex.org/W3016548437","https://openalex.org/W6601731843","https://openalex.org/W6633552372","https://openalex.org/W6635205333"],"related_works":["https://openalex.org/W4294677683","https://openalex.org/W590971457","https://openalex.org/W1987325317","https://openalex.org/W4253585948","https://openalex.org/W4327802989","https://openalex.org/W1548972748","https://openalex.org/W4327673373","https://openalex.org/W4281251401","https://openalex.org/W3007581867","https://openalex.org/W2040790268"],"abstract_inverted_index":{"In":[0],"this":[1,35],"paper,":[2],"our":[3],"objective":[4],"is":[5,61],"to":[6,29,33],"minimize":[7],"passengers":[8,49],"waiting":[9],"times":[10,55],"at":[11,19],"the":[12,41,48,52,58],"bus":[13,53],"stops":[14],"by":[15],"making":[16],"buses":[17],"wait":[18],"a":[20,24,30],"stop.":[21],"We":[22],"compare":[23],"simple":[25],"rule":[26,80],"based":[27,81],"approach":[28],"Monte-Carlo":[31,42,63,71,78],"method":[32,43],"reach":[34],"objective.":[36],"When":[37],"allocated":[38],"enough":[39],"time,":[40],"gives":[44],"better":[45],"results.":[46],"If":[47],"arrivals":[50],"and":[51,79],"travel":[54],"are":[56],"known,":[57],"best":[59],"algorithm":[60],"nested":[62,70],"search":[64,72],"with":[65],"memorization":[66,74],"which":[67],"clearly":[68],"outperforms":[69],"without":[73],"as":[75,77],"well":[76],"regulation.":[82]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
