{"id":"https://openalex.org/W4391770293","doi":"https://doi.org/10.1109/itsc57777.2023.10421845","title":"Centralized Dynamic Vehicle Routing with Macroscopic Fundamental Diagram","display_name":"Centralized Dynamic Vehicle Routing with Macroscopic Fundamental Diagram","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391770293","doi":"https://doi.org/10.1109/itsc57777.2023.10421845"},"language":"en","primary_location":{"id":"doi:10.1109/itsc57777.2023.10421845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10421845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","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/A5008119418","display_name":"Hao Yang","orcid":"https://orcid.org/0000-0003-0814-6058"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hao Yang","raw_affiliation_strings":["Civil Engineering, McMaster University,Hamilton,Ontario,Canada","Hamilton, Civil Engineering, McMaster University, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Civil Engineering, McMaster University,Hamilton,Ontario,Canada","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"Hamilton, Civil Engineering, McMaster University, Ontario, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034563317","display_name":"Yashar Zeinali Farid","orcid":"https://orcid.org/0000-0001-6930-633X"},"institutions":[{"id":"https://openalex.org/I4210093665","display_name":"Toyota Motor Corporation (United States)","ror":"https://ror.org/0076knn86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093665","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yashar Zeinali Farid","raw_affiliation_strings":["InfoTech Labs, Toyota Motor North America, Mountain View,CA,USA","InfoTech Labs, Toyota Motor North America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"InfoTech Labs, Toyota Motor North America, Mountain View,CA,USA","institution_ids":["https://openalex.org/I4210093665"]},{"raw_affiliation_string":"InfoTech Labs, Toyota Motor North America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210093665"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021752206","display_name":"Seyhan U\u00e7ar","orcid":"https://orcid.org/0000-0002-3183-0889"},"institutions":[{"id":"https://openalex.org/I4210093665","display_name":"Toyota Motor Corporation (United States)","ror":"https://ror.org/0076knn86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093665","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyhan Ucar","raw_affiliation_strings":["InfoTech Labs, Toyota Motor North America, Mountain View,CA,USA","InfoTech Labs, Toyota Motor North America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"InfoTech Labs, Toyota Motor North America, Mountain View,CA,USA","institution_ids":["https://openalex.org/I4210093665"]},{"raw_affiliation_string":"InfoTech Labs, Toyota Motor North America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210093665"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025075066","display_name":"Kentaro Oguchi","orcid":"https://orcid.org/0000-0001-9724-6434"},"institutions":[{"id":"https://openalex.org/I4210093665","display_name":"Toyota Motor Corporation (United States)","ror":"https://ror.org/0076knn86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093665","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kentaro Oguchi","raw_affiliation_strings":["InfoTech Labs, Toyota Motor North America, Mountain View,CA,USA","InfoTech Labs, Toyota Motor North America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"InfoTech Labs, Toyota Motor North America, Mountain View,CA,USA","institution_ids":["https://openalex.org/I4210093665"]},{"raw_affiliation_string":"InfoTech Labs, Toyota Motor North America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210093665"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008119418"],"corresponding_institution_ids":["https://openalex.org/I98251732"],"apc_list":null,"apc_paid":null,"fwci":0.4075,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6113928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2023","last_page":"2029"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.8971999883651733,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.8971999883651733,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.8707000017166138,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.8184000253677368,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5431581735610962},{"id":"https://openalex.org/keywords/diagram","display_name":"Diagram","score":0.5368127822875977},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5172027349472046},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.4346140921115875},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3111167252063751}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5431581735610962},{"id":"https://openalex.org/C186399060","wikidata":"https://www.wikidata.org/wiki/Q959962","display_name":"Diagram","level":2,"score":0.5368127822875977},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5172027349472046},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.4346140921115875},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3111167252063751},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc57777.2023.10421845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10421845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W613455280","https://openalex.org/W1969483458","https://openalex.org/W1971421925","https://openalex.org/W1980989994","https://openalex.org/W1994100467","https://openalex.org/W2003761193","https://openalex.org/W2004959510","https://openalex.org/W2015742367","https://openalex.org/W2018887123","https://openalex.org/W2043640513","https://openalex.org/W2046236705","https://openalex.org/W2053735881","https://openalex.org/W2062245133","https://openalex.org/W2067148637","https://openalex.org/W2082878954","https://openalex.org/W2087871596","https://openalex.org/W2095293504","https://openalex.org/W2112686410","https://openalex.org/W2131058166","https://openalex.org/W2164863800","https://openalex.org/W2169528473","https://openalex.org/W2241100456","https://openalex.org/W2886572703","https://openalex.org/W2899309741","https://openalex.org/W2902528488","https://openalex.org/W2962530959","https://openalex.org/W3037085755","https://openalex.org/W4231700625","https://openalex.org/W6619028589","https://openalex.org/W6631736498"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2018691209","https://openalex.org/W4312143452","https://openalex.org/W4247364272","https://openalex.org/W3133151256","https://openalex.org/W2132920749","https://openalex.org/W2101108574","https://openalex.org/W2157331354","https://openalex.org/W2626773395","https://openalex.org/W3131953714"],"abstract_inverted_index":{"Optimizing":[0],"urban":[1],"mobility":[2,147,184],"through":[3],"dynamic":[4,46],"vehicle":[5,47,175],"routing":[6,48],"and":[7,67,79,96,125,140,157,179],"centralized":[8,45],"control":[9,31],"mechanisms":[10],"is":[11,58,132],"a":[12,16,25,33,44,136,141,151,160],"complex":[13],"task":[14],"with":[15],"high":[17],"computational":[18],"cost.":[19],"Macroscopic":[20],"fundamental":[21],"diagram":[22],"(MFD)":[23],"provides":[24],"practical":[26],"tool":[27],"for":[28,53,64,83,112],"traffic":[29,91,119,188],"state":[30,92],"at":[32],"macroscopic":[34,90],"level,":[35],"aiming":[36],"to":[37,59,109,121,159],"achieve":[38],"system":[39,49,72,108],"optimum.":[40],"This":[41,105],"paper":[42,169],"introduces":[43],"based":[50],"on":[51,134,183],"MFD":[52,82],"connected":[54,174],"vehicles.":[55],"Its":[56],"objective":[57],"minimize":[60],"travel":[61,102,164],"time":[62,95,103,165],"delays":[63],"individual":[65],"vehicles":[66,87],"the":[68,74,81,89,98,107,113,168,171],"entire":[69],"city.":[70],"The":[71,129],"divides":[73],"city":[75,143],"into":[76],"multiple":[77],"regions":[78],"calibrates":[80],"each":[84],"region.":[85],"Connected":[86],"monitor":[88],"in":[93,163],"real":[94],"adjust":[97],"weight":[99],"of":[100,154,173],"link":[101],"accordingly.":[104],"enables":[106],"dynamically":[110],"search":[111],"most":[114],"efficient":[115],"routes,":[116],"maintain":[117],"region":[118,155],"close":[120],"capacity,":[122],"maximize":[123],"throughput,":[124],"alleviate":[126],"network":[127,139,180],"congestion.":[128],"system's":[130],"performance":[131],"evaluated":[133],"both":[135],"synthetic":[137],"grid":[138],"real-world":[142],"network,":[144],"demonstrating":[145],"significant":[146],"benefits.":[148],"Results":[149],"show":[150],"potential":[152],"doubling":[153],"capacity":[156],"up":[158],"60%":[161],"reduction":[162],"delays.":[166],"Additionally,":[167],"analyzes":[170],"influence":[172],"market":[176],"penetration":[177],"rates":[178],"congestion":[181],"levels":[182],"benefits":[185],"using":[186],"microscopic":[187],"simulations.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}