{"id":"https://openalex.org/W4391768661","doi":"https://doi.org/10.1109/itsc57777.2023.10422395","title":"A Practical MPC Method for Autonomous Driving Longitudinal Dynamic Control's Real-World Challenges","display_name":"A Practical MPC Method for Autonomous Driving Longitudinal Dynamic Control's Real-World Challenges","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391768661","doi":"https://doi.org/10.1109/itsc57777.2023.10422395"},"language":"en","primary_location":{"id":"doi:10.1109/itsc57777.2023.10422395","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/itsc57777.2023.10422395","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/A5048451997","display_name":"Junbo Jing","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Junbo Jing","raw_affiliation_strings":["Vehicle Control Algorithm team of TuSimple,San Diego,CA,USA","Vehicle Control Algorithm team of TuSimple, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Vehicle Control Algorithm team of TuSimple,San Diego,CA,USA","institution_ids":[]},{"raw_affiliation_string":"Vehicle Control Algorithm team of TuSimple, San Diego, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688512","display_name":"Jingxuan Liu","orcid":"https://orcid.org/0009-0003-5635-1926"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingxuan Liu","raw_affiliation_strings":["Vehicle Control Algorithm team of TuSimple,San Diego,CA,USA","Vehicle Control Algorithm team of TuSimple, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Vehicle Control Algorithm team of TuSimple,San Diego,CA,USA","institution_ids":[]},{"raw_affiliation_string":"Vehicle Control Algorithm team of TuSimple, San Diego, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032606382","display_name":"Chunan Huang","orcid":"https://orcid.org/0000-0003-2507-1705"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunan Huang","raw_affiliation_strings":["Vehicle Control Algorithm team of TuSimple,San Diego,CA,USA","Vehicle Control Algorithm team of TuSimple, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Vehicle Control Algorithm team of TuSimple,San Diego,CA,USA","institution_ids":[]},{"raw_affiliation_string":"Vehicle Control Algorithm team of TuSimple, San Diego, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065878109","display_name":"Patrik Kolaric","orcid":"https://orcid.org/0000-0002-4332-3462"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patrik Kolaric","raw_affiliation_strings":["Vehicle Control Algorithm team of TuSimple,San Diego,CA,USA","Vehicle Control Algorithm team of TuSimple, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Vehicle Control Algorithm team of TuSimple,San Diego,CA,USA","institution_ids":[]},{"raw_affiliation_string":"Vehicle Control Algorithm team of TuSimple, San Diego, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065481525","display_name":"Shen Qu","orcid":"https://orcid.org/0000-0002-6080-708X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen Qu","raw_affiliation_strings":["Vehicle Control Algorithm team of TuSimple,San Diego,CA,USA","Vehicle Control Algorithm team of TuSimple, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Vehicle Control Algorithm team of TuSimple,San Diego,CA,USA","institution_ids":[]},{"raw_affiliation_string":"Vehicle Control Algorithm team of TuSimple, San Diego, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100708937","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0001-8751-4909"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Vehicle Control Algorithm team of TuSimple,San Diego,CA,USA","Vehicle Control Algorithm team of TuSimple, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Vehicle Control Algorithm team of TuSimple,San Diego,CA,USA","institution_ids":[]},{"raw_affiliation_string":"Vehicle Control Algorithm team of TuSimple, San Diego, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048451997"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1878,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53169161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1435","last_page":"1441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9812999963760376,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9812999963760376,"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/T10192","display_name":"Catalytic Processes in Materials Science","score":0.9236999750137329,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6074025630950928},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.572088360786438},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.47892388701438904},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4163428246974945},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3706417679786682},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2063075304031372},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18791601061820984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6074025630950928},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.572088360786438},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.47892388701438904},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4163428246974945},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3706417679786682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2063075304031372},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18791601061820984}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc57777.2023.10422395","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/itsc57777.2023.10422395","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":[{"id":"https://metadata.un.org/sdg/13","score":0.47999998927116394,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2109172209","https://openalex.org/W2146647544","https://openalex.org/W2570817651","https://openalex.org/W2590337499","https://openalex.org/W2612062588","https://openalex.org/W2795403886","https://openalex.org/W2797923482","https://openalex.org/W2932416826","https://openalex.org/W2980340059","https://openalex.org/W2989630370","https://openalex.org/W3039489402","https://openalex.org/W4301909677"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1990079087","https://openalex.org/W2060165215","https://openalex.org/W2390279801","https://openalex.org/W2101188133","https://openalex.org/W3202234113","https://openalex.org/W2358668433","https://openalex.org/W4248731570","https://openalex.org/W2376932109","https://openalex.org/W2556120871"],"abstract_inverted_index":{"Autonomous":[0],"driving's":[1],"Planning-and-Control":[2],"(PnC)":[3],"integration":[4],"demands":[5],"alignment":[6],"in":[7,44,109,154,161],"vehicle":[8,23,45],"motion":[9,12,18],"feasibility":[10],"and":[11,26,60,71,75,125,146,159],"error":[13],"predictability,":[14],"which":[15],"requires":[16],"the":[17,41,83,97],"controller":[19,141],"to":[20,81,87],"respect":[21],"realistic":[22],"system":[24,42,55],"constraints":[25],"dynamic":[27,47],"properties.":[28],"This":[29,140],"paper":[30],"describes":[31],"a":[32,129,135],"Model":[33],"Predictive":[34],"Control":[35],"(MPC)":[36],"method":[37],"that":[38],"practically":[39],"handles":[40],"challenges":[43],"longitudinal":[46],"control,":[48],"introduced":[49],"by":[50,57],"complex":[51],"torque":[52],"capacity":[53],"shapes,":[54],"switching":[56],"gear":[58],"shifts,":[59],"multiple":[61],"actuation":[62],"systems.":[63],"Techniques":[64],"of":[65,132,157],"constraint":[66],"local":[67],"affine":[68],"approximation,":[69],"wheel":[70],"actuator":[72],"domain":[73],"separation,":[74],"fuel":[76,118],"mapping":[77],"blending":[78],"are":[79,122],"invented":[80],"address":[82],"aforementioned":[84],"challenges,":[85],"leading":[86],"quasi-optimal":[88],"control":[89,98,137],"solution":[90],"using":[91,134],"minimal":[92],"computation":[93],"time.":[94],"Through":[95],"formulating":[96],"problem":[99],"into":[100],"constrained":[101],"multi-objective":[102],"optimizations,":[103],"product":[104],"&":[105],"functional":[106],"requirements":[107],"involved":[108],"autonomous":[110,151],"driving,":[111],"such":[112],"as":[113],"tracking":[114],"response,":[115],"safety":[116],"constraints,":[117],"economy,":[119],"ride":[120],"comfort,":[121],"conveniently":[123],"handled":[124],"explicitly":[126],"satisfied":[127],"over":[128],"wide":[130],"range":[131],"scenarios":[133],"single":[136],"core":[138],"solver.":[139],"has":[142],"been":[143],"sufficiently":[144],"validated":[145],"supports":[147],"TuSimple's":[148],"class-8":[149],"truck":[150],"driving":[152],"operations":[153],"real":[155],"traffic":[156],"Arizona":[158],"Texas":[160],"USA.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
