{"id":"https://openalex.org/W4413925619","doi":"https://doi.org/10.1109/icra55743.2025.11128565","title":"Fuel-Optimal Operational Speed Planning for Autonomous Trucking on Highways","display_name":"Fuel-Optimal Operational Speed Planning for Autonomous Trucking on Highways","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413925619","doi":"https://doi.org/10.1109/icra55743.2025.11128565"},"language":"en","primary_location":{"id":"doi:10.1109/icra55743.2025.11128565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11128565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","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/A5018863137","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-6949-0966"},"institutions":[{"id":"https://openalex.org/I4210158001","display_name":"Incept (United States)","ror":"https://ror.org/05fj65g09","country_code":"US","type":"company","lineage":["https://openalex.org/I4210158001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Inceptio"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inceptio","institution_ids":["https://openalex.org/I4210158001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049909891","display_name":"Bin Wu","orcid":"https://orcid.org/0000-0002-2614-0736"},"institutions":[{"id":"https://openalex.org/I4210158001","display_name":"Incept (United States)","ror":"https://ror.org/05fj65g09","country_code":"US","type":"company","lineage":["https://openalex.org/I4210158001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Wu","raw_affiliation_strings":["Inceptio"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inceptio","institution_ids":["https://openalex.org/I4210158001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102147398","display_name":"Jiahao Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158001","display_name":"Incept (United States)","ror":"https://ror.org/05fj65g09","country_code":"US","type":"company","lineage":["https://openalex.org/I4210158001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiahao Xiang","raw_affiliation_strings":["Inceptio"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inceptio","institution_ids":["https://openalex.org/I4210158001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061467666","display_name":"Jiaping Ren","orcid":"https://orcid.org/0000-0002-7658-6912"},"institutions":[{"id":"https://openalex.org/I4210158001","display_name":"Incept (United States)","ror":"https://ror.org/05fj65g09","country_code":"US","type":"company","lineage":["https://openalex.org/I4210158001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaping Ren","raw_affiliation_strings":["Inceptio"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inceptio","institution_ids":["https://openalex.org/I4210158001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021066503","display_name":"Yi Wu","orcid":"https://orcid.org/0000-0002-2322-6825"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wu","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076524203","display_name":"Ruigang Yang","orcid":"https://orcid.org/0000-0001-5296-6307"},"institutions":[{"id":"https://openalex.org/I4210158001","display_name":"Incept (United States)","ror":"https://ror.org/05fj65g09","country_code":"US","type":"company","lineage":["https://openalex.org/I4210158001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruigang Yang","raw_affiliation_strings":["Inceptio"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inceptio","institution_ids":["https://openalex.org/I4210158001"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"14953","last_page":"14959"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9962000250816345,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9943000078201294,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5408570766448975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4592689275741577},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3785378336906433},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3299209177494049},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2251000702381134}],"concepts":[{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5408570766448975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4592689275741577},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3785378336906433},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3299209177494049},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2251000702381134}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra55743.2025.11128565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11128565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1274396430","display_name":null,"funder_award_id":"BK20210600","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1480044014","https://openalex.org/W1589221021","https://openalex.org/W2012573522","https://openalex.org/W2050232403","https://openalex.org/W2075713131","https://openalex.org/W2133705227","https://openalex.org/W2134765105","https://openalex.org/W2602892225","https://openalex.org/W2770175207","https://openalex.org/W2793687455","https://openalex.org/W2803770185","https://openalex.org/W2811288623","https://openalex.org/W2884381115","https://openalex.org/W2891899936","https://openalex.org/W2896642734","https://openalex.org/W2973023362","https://openalex.org/W3014539477","https://openalex.org/W3114289050","https://openalex.org/W3121518222","https://openalex.org/W4214521568","https://openalex.org/W4283258057","https://openalex.org/W4284970792","https://openalex.org/W4285081220","https://openalex.org/W4286449693","https://openalex.org/W4363679442","https://openalex.org/W4401416626"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,77,181],"rapid":[1],"advancement":[2],"of":[3,73,89,112,156,162],"autonomous":[4,9,37],"driving":[5,92],"technology,":[6],"particularly":[7],"in":[8,22,122,166,197],"trucking":[10],"on":[11,60,134],"highways,":[12],"shows":[13],"great":[14],"value":[15],"for":[16,36,108],"enhancing":[17],"efficiency":[18],"and":[19,42,57,146,159,184,195],"reducing":[20],"costs":[21],"the":[23,31,49,61,109,142,154,157,160,163],"logistics":[24],"industry.":[25],"In":[26,94],"this":[27,97,198],"work,":[28],"we":[29,64,100,127],"define":[30],"full-trip":[32],"speed":[33,119,139],"planning":[34,120,167],"problem":[35],"trucks":[38],"under":[39],"delivery":[40,143],"time":[41,144,175],"fuel":[43,147,179],"consumption":[44],"constraints,":[45],"referred":[46],"to":[47,96,117,137,173,191],"as":[48],"Operational":[50],"Speed":[51],"Planning":[52],"(OSP)":[53],"problem.":[54],"To":[55],"support":[56],"accelerate":[58],"research":[59,194],"OSP":[62,113,130,164],"problem,":[63],"have":[65,101],"developed":[66,102],"a":[67,71,103,123],"comprehensive":[68],"dataset":[69,78],"using":[70],"fleet":[72],"over":[74],"400":[75],"trucks.":[76],"contains":[79],"rich,":[80],"diverse":[81],"information":[82],"covering":[83],"more":[84],"than":[85],"22":[86],"million":[87],"kilometers":[88],"real-world":[90],"highway":[91],"data.":[93],"addition":[95],"static":[98],"dataset,":[99,182],"closed-loop":[104],"simulator":[105],"that":[106],"allows":[107],"interactive":[110],"evaluation":[111],"solutions,":[114],"enabling":[115],"researchers":[116],"test":[118],"strategies":[121],"realistic":[124],"environment.":[125],"Furthermore,":[126],"provide":[128],"an":[129],"baseline":[131,165,185],"method":[132],"based":[133],"dynamic":[135],"programming":[136],"optimize":[138],"planning,":[140],"balancing":[141],"requirements":[145],"consumption.":[148],"Our":[149],"extensive":[150],"experiments":[151],"demonstrate":[152],"both":[153],"accuracy":[155],"simulation":[158],"effectiveness":[161],"optimal":[168],"speeds,":[169],"proving":[170],"its":[171],"capability":[172],"meet":[174],"constraints":[176],"while":[177],"improving":[178],"efficiency.":[180],"simulator,":[183],"will":[186],"be":[187],"made":[188],"publicly":[189],"available":[190],"foster":[192],"further":[193],"innovation":[196],"area.":[199]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
