{"id":"https://openalex.org/W3007586435","doi":"https://doi.org/10.1109/wsc40007.2019.9004722","title":"Dynamic Congestion Pricing for Ridesourcing Traffic: a Simulation Optimization Approach","display_name":"Dynamic Congestion Pricing for Ridesourcing Traffic: a Simulation Optimization Approach","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007586435","doi":"https://doi.org/10.1109/wsc40007.2019.9004722","mag":"3007586435"},"language":"en","primary_location":{"id":"doi:10.1109/wsc40007.2019.9004722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc40007.2019.9004722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Winter Simulation Conference (WSC)","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/A5101831407","display_name":"Qi Luo","orcid":"https://orcid.org/0000-0002-4103-7112"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qi Luo","raw_affiliation_strings":["IOE Building, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"IOE Building, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101831407"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.8828,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77757908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2868","last_page":"2869"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":1.0,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7274497151374817},{"id":"https://openalex.org/keywords/unobservable","display_name":"Unobservable","score":0.7130773663520813},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5899724364280701},{"id":"https://openalex.org/keywords/congestion-management","display_name":"Congestion management","score":0.5449771285057068},{"id":"https://openalex.org/keywords/congestion-pricing","display_name":"Congestion pricing","score":0.536588728427887},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5199167132377625},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4959288537502289},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.446803480386734},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4173167049884796},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1730218231678009},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1463891863822937},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.1337694227695465},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.122958242893219},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08983767032623291},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.08500611782073975},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.06845036149024963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7274497151374817},{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.7130773663520813},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5899724364280701},{"id":"https://openalex.org/C2984524470","wikidata":"https://www.wikidata.org/wiki/Q18141869","display_name":"Congestion management","level":4,"score":0.5449771285057068},{"id":"https://openalex.org/C8007445","wikidata":"https://www.wikidata.org/wiki/Q13743387","display_name":"Congestion pricing","level":3,"score":0.536588728427887},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5199167132377625},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4959288537502289},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.446803480386734},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4173167049884796},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1730218231678009},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1463891863822937},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.1337694227695465},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.122958242893219},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08983767032623291},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.08500611782073975},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.06845036149024963},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc40007.2019.9004722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc40007.2019.9004722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2194169387","https://openalex.org/W2911274964"],"related_works":["https://openalex.org/W2597410805","https://openalex.org/W566666538","https://openalex.org/W4301396310","https://openalex.org/W2383887374","https://openalex.org/W637596168","https://openalex.org/W65202228","https://openalex.org/W2340997747","https://openalex.org/W3121420182","https://openalex.org/W1515704368","https://openalex.org/W1569170448"],"abstract_inverted_index":{"Despite":[0],"the":[1,17,33,45,51,57,65,85,101],"documented":[2],"benefits":[3],"of":[4,35,53,87],"ridesourcing":[5],"services,":[6],"recent":[7],"studies":[8,40],"show":[9],"that":[10],"they":[11],"can":[12,108],"slow":[13],"down":[14],"traffic":[15,66,74],"in":[16,90],"densest":[18],"cities":[19],"significantly.":[20],"To":[21,63,83],"implement":[22],"congestion":[23,36,60,103,115],"pricing":[24,116],"policies":[25],"upon":[26],"those":[27],"vehicles,":[28],"regulators":[29],"need":[30],"to":[31,43,99,112],"estimate":[32,64],"degree":[34],"effect.":[37],"This":[38,105],"paper":[39],"simulation-based":[41],"approaches":[42],"address":[44],"two":[46],"technical":[47],"challenges":[48],"arising":[49],"from":[50],"representation":[52,72],"system":[54],"dynamics":[55],"and":[56,76],"optimization":[58,97],"for":[59,73,80],"price":[61],"mechanisms.":[62],"state,":[67],"we":[68,93],"use":[69,94],"a":[70,77,95],"metamodel":[71],"flow":[75],"numerical":[78],"method":[79],"data":[81],"interpolation.":[82],"reduce":[84],"burden":[86],"replicating":[88],"evaluation":[89],"stochastic":[91],"optimization,":[92],"simulation":[96],"approach":[98,107],"compute":[100],"optimal":[102],"price.":[104],"data-driven":[106],"potentially":[109],"be":[110],"extended":[111],"solve":[113],"large-scale":[114],"problems":[117],"with":[118],"unobservable":[119],"states.":[120]},"counts_by_year":[{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
