{"id":"https://openalex.org/W1974017210","doi":"https://doi.org/10.1109/itsc.2013.6728554","title":"Towards intelligent fleet management: Local optimal speeds for fuel and emissions","display_name":"Towards intelligent fleet management: Local optimal speeds for fuel and emissions","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W1974017210","doi":"https://doi.org/10.1109/itsc.2013.6728554","mag":"1974017210"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2013.6728554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2013.6728554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","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/A5103171792","display_name":"Xiaoliang Ma","orcid":"https://orcid.org/0000-0001-5526-4511"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Xiaoliang Ma","raw_affiliation_strings":["ITS Lab, Traffic and Logistics, KTH Royal Institute of Technology, Stockholm, Sweden","ITS Lab., KTH R. Inst. of Technol., Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"ITS Lab, Traffic and Logistics, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"ITS Lab., KTH R. Inst. of Technol., Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103171792"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":3.9416,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93238741,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2201","last_page":"2206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9998999834060669,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9998999834060669,"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/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":0.9991999864578247,"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/fleet-management","display_name":"Fleet management","score":0.7063574194908142},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5554846525192261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5056614875793457},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4847364127635956},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.46262574195861816},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.44864118099212646},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.43733203411102295},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3755514919757843},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3026442527770996},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.15846651792526245}],"concepts":[{"id":"https://openalex.org/C2777305159","wikidata":"https://www.wikidata.org/wiki/Q1430291","display_name":"Fleet management","level":2,"score":0.7063574194908142},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5554846525192261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5056614875793457},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4847364127635956},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.46262574195861816},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.44864118099212646},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.43733203411102295},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3755514919757843},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3026442527770996},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.15846651792526245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2013.6728554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2013.6728554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W632834820","https://openalex.org/W642302890","https://openalex.org/W1516594926","https://openalex.org/W1936856339","https://openalex.org/W1999528354","https://openalex.org/W2059317436","https://openalex.org/W2083487794","https://openalex.org/W2118587213","https://openalex.org/W2129424070","https://openalex.org/W2135875165","https://openalex.org/W2760346529","https://openalex.org/W2798534591","https://openalex.org/W3122337889","https://openalex.org/W6620336563","https://openalex.org/W6630902328","https://openalex.org/W6631873735"],"related_works":["https://openalex.org/W4213236910","https://openalex.org/W560670411","https://openalex.org/W4383373967","https://openalex.org/W3175487898","https://openalex.org/W2807840309","https://openalex.org/W2139417417","https://openalex.org/W2122666157","https://openalex.org/W752324542","https://openalex.org/W4286521439","https://openalex.org/W15137707"],"abstract_inverted_index":{"In":[0,109],"order":[1],"to":[2,111,128,200],"fulfill":[3],"the":[4,28,116,120,122,136,141,178,193,197],"policy":[5],"requirements":[6],"on":[7],"increased":[8],"transport":[9],"energy":[10],"efficiency":[11,195],"and":[12,18,22,41,45,50,71,73,100,138,162,172],"reduced":[13],"emission":[14,165],"impacts,":[15],"smart":[16],"control":[17,103,132,206],"management":[19,61,91,185],"of":[20,30,38,62,115,119,140,189,196],"vehicles":[21],"fleets":[23],"have":[24],"become":[25],"important":[26],"for":[27,59,86,169,182,216],"evolution":[29],"green":[31],"intelligent":[32],"transportation":[33],"systems":[34],"(ITS).":[35],"The":[36,203],"emergence":[37],"new":[39],"information":[40],"communication":[42,191],"technologies":[43],"(ICT)":[44],"their":[46],"applications,":[47],"especially":[48],"vehicle-to-vehicle":[49],"vehicle-to-infrastructure":[51],"(V2I)":[52],"communication,":[53],"serves":[54],"as":[55],"an":[56,163],"effective":[57],"means":[58],"continuous":[60],"real":[63],"traffic":[64,96,213],"fleet":[65,90,131,144,184],"by":[66,155],"providing":[67],"vehicle":[68,102,107,143],"driving":[69],"support":[70,188],"guidance,":[72],"therefore":[74],"affecting":[75],"driver":[76],"behavior.":[77],"This":[78],"study":[79],"presents":[80,124],"a":[81,88,112,125,157,211],"recent":[82],"Swedish":[83],"R&D":[84],"project":[85],"developing":[87],"dynamic":[89,159],"system":[92],"that":[93,135,177],"incorporates":[94],"real-time":[95,105,183],"information,":[97],"eco-driving":[98],"guidance":[99],"automated":[101],"in":[104,210],"heavy":[106],"platooning.":[108],"addition":[110],"general":[113],"illustration":[114],"main":[117],"objectives":[118,152],"project,":[121],"paper":[123],"methodological":[126],"approach":[127,207],"developed":[129],"local":[130],"strategies":[133],"so":[134],"fuel":[137,171],"emissions":[139],"managed":[142],"can":[145],"be":[146,201],"reduced.":[147],"Speed":[148],"trajectories":[149],"minimizing":[150],"predefined":[151],"are":[153],"derived":[154],"applying":[156],"discrete":[158],"programming":[160],"method,":[161],"instantaneous":[164],"estimator":[166],"is":[167,180,208],"used":[168],"predicting":[170],"emissions.":[173],"Numerical":[174],"examples":[175],"show":[176],"method":[179,198],"promising":[181],"applications":[186],"with":[187],"V2I":[190],"while":[192],"computational":[194],"needs":[199],"enhanced.":[202],"adaptive":[204],"speed":[205],"implemented":[209],"microscopic":[212],"simulation":[214],"environment":[215],"further":[217],"evaluation.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}