{"id":"https://openalex.org/W2034928141","doi":"https://doi.org/10.1109/coase.2013.6654046","title":"Optimization of probe vehicle deployment for traffic status estimation","display_name":"Optimization of probe vehicle deployment for traffic status estimation","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2034928141","doi":"https://doi.org/10.1109/coase.2013.6654046","mag":"2034928141"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2013.6654046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2013.6654046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029957682","display_name":"Kang-Ching Chu","orcid":"https://orcid.org/0000-0002-6497-8599"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kang-Ching Chu","raw_affiliation_strings":["The Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA","[Department of Mech. Engineering, University of Michigan, Ann Arbor, MI, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"[Department of Mech. Engineering, University of Michigan, Ann Arbor, MI, USA]","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079391682","display_name":"Kazuhiro Saitou","orcid":"https://orcid.org/0000-0001-8854-7673"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kazuhiro Saitou","raw_affiliation_strings":["The Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA","[Department of Mech. Engineering, University of Michigan, Ann Arbor, MI, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"[Department of Mech. Engineering, 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":[],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"880","last_page":"885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/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/T10698","display_name":"Transportation Planning and Optimization","score":0.9962999820709229,"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/induction-loop","display_name":"Induction loop","score":0.7132693529129028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6604292988777161},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6272283792495728},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.5650734901428223},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5545521974563599},{"id":"https://openalex.org/keywords/microscopic-traffic-flow-model","display_name":"Microscopic traffic flow model","score":0.5406365990638733},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5385139584541321},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.5067823529243469},{"id":"https://openalex.org/keywords/traffic-optimization","display_name":"Traffic optimization","score":0.4855651557445526},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.43369758129119873},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.42842885851860046},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.4134463965892792},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.34018459916114807},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.29581189155578613},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2141861617565155},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16925817728042603},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1691160798072815},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07993847131729126}],"concepts":[{"id":"https://openalex.org/C8406815","wikidata":"https://www.wikidata.org/wiki/Q2163913","display_name":"Induction loop","level":3,"score":0.7132693529129028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604292988777161},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6272283792495728},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.5650734901428223},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5545521974563599},{"id":"https://openalex.org/C205269179","wikidata":"https://www.wikidata.org/wiki/Q17144160","display_name":"Microscopic traffic flow model","level":3,"score":0.5406365990638733},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5385139584541321},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.5067823529243469},{"id":"https://openalex.org/C86266404","wikidata":"https://www.wikidata.org/wiki/Q7832512","display_name":"Traffic optimization","level":4,"score":0.4855651557445526},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.43369758129119873},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42842885851860046},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.4134463965892792},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.34018459916114807},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.29581189155578613},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2141861617565155},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16925817728042603},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1691160798072815},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07993847131729126},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2013.6654046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2013.6654046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W16548326","https://openalex.org/W281335063","https://openalex.org/W638737990","https://openalex.org/W1595498733","https://openalex.org/W1968339027","https://openalex.org/W2064091103","https://openalex.org/W2093921901","https://openalex.org/W2095797625","https://openalex.org/W2106576840","https://openalex.org/W2109360330","https://openalex.org/W2151197729","https://openalex.org/W2168894229","https://openalex.org/W2169991130","https://openalex.org/W2198098822","https://openalex.org/W6600645789","https://openalex.org/W6620671813"],"related_works":["https://openalex.org/W2361775397","https://openalex.org/W4210652692","https://openalex.org/W4256033520","https://openalex.org/W2064543875","https://openalex.org/W642444140","https://openalex.org/W2540942508","https://openalex.org/W2317511064","https://openalex.org/W2378437311","https://openalex.org/W2972320057","https://openalex.org/W2108968924"],"abstract_inverted_index":{"Traffic":[0],"congestion":[1,24],"in":[2],"urban":[3],"areas":[4],"is":[5,36,71,85,117],"posing":[6],"many":[7],"challenges,":[8],"and":[9,18,82,101],"traffic":[10,15,49,52,79,84,98,125,133],"flow":[11,53,80],"model":[12],"provides":[13],"accurate":[14],"status":[16,134],"estimation":[17,100],"prediction":[19],"can":[20],"be":[21],"beneficial":[22],"for":[23,51,123],"management.":[25],"With":[26],"the":[27,58,89,95,130],"limitation":[28],"of":[29,62,97,104,132],"infrastructure,":[30],"probe":[31,63,75,121],"data":[32,50,76,122],"from":[33],"individual":[34],"vehicles":[35],"an":[37],"attractive":[38],"alternative":[39],"to":[40,47,73,87,119],"inductive":[41],"loop":[42],"detectors":[43],"as":[44],"a":[45],"mean":[46],"collect":[48],"modelling.":[54],"This":[55],"paper":[56],"investigates":[57],"optimal":[59],"deployment":[60],"strategy":[61],"vehicles.":[64],"Data":[65],"assimilation":[66],"technique,":[67],"Newtonian":[68],"relaxation":[69],"method,":[70],"used":[72,86],"incorporate":[74],"into":[77],"macroscopic":[78],"model,":[81],"synthetic":[83],"study":[88],"optimization":[90],"problem.":[91],"The":[92,112],"tradeoff":[93],"between":[94],"quality":[96,131],"density":[99],"operation":[102],"cost":[103],"probing":[105],"are":[106],"investigating":[107],"using":[108],"multi-objective":[109],"genetic":[110],"algorithm.":[111],"results":[113],"indicates":[114],"that":[115],"it":[116],"possible":[118],"decrease":[120],"congested":[124],"with":[126],"negligible":[127],"degradation":[128],"on":[129],"estimation.":[135]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}