{"id":"https://openalex.org/W4378976250","doi":"https://doi.org/10.1109/access.2023.3281912","title":"Collision Avoidance Path Planning for Vehicles Combining MPC and CACC Controllers","display_name":"Collision Avoidance Path Planning for Vehicles Combining MPC and CACC Controllers","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4378976250","doi":"https://doi.org/10.1109/access.2023.3281912"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3281912","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3281912","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10141587.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10141587.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103061462","display_name":"Qingde Zeng","orcid":"https://orcid.org/0009-0001-5179-0626"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingde Zeng","raw_affiliation_strings":["School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-5179-0626","affiliations":[{"raw_affiliation_string":"School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048835356","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0002-2692-2965"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["College of Information Science and Engineering, Liuzhou Institute of Technology, Liuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Liuzhou Institute of Technology, Liuzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4914,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.58495952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"55736","last_page":"55747"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9987000226974487,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9962999820709229,"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/collision-avoidance","display_name":"Collision avoidance","score":0.8404287695884705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6365131139755249},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.629637598991394},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4406552016735077},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.42727115750312805},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.36990106105804443},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.22349539399147034},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17087572813034058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13847854733467102},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1090208888053894},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06608542799949646}],"concepts":[{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.8404287695884705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6365131139755249},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.629637598991394},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4406552016735077},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.42727115750312805},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.36990106105804443},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.22349539399147034},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17087572813034058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13847854733467102},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1090208888053894},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06608542799949646}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3281912","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3281912","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10141587.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:590b1957b62040b4b0d40bc08b00d018","is_oa":true,"landing_page_url":"https://doaj.org/article/590b1957b62040b4b0d40bc08b00d018","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 55736-55747 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3281912","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3281912","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10141587.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378976250.pdf","grobid_xml":"https://content.openalex.org/works/W4378976250.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2998853730","https://openalex.org/W3006463925","https://openalex.org/W3008352455","https://openalex.org/W3009637260","https://openalex.org/W3015689433","https://openalex.org/W3021656412","https://openalex.org/W3022293162","https://openalex.org/W3024890981","https://openalex.org/W3028729520","https://openalex.org/W3034625574","https://openalex.org/W3041816136","https://openalex.org/W3046335568","https://openalex.org/W3114224083","https://openalex.org/W3114359237","https://openalex.org/W3123320451","https://openalex.org/W3154290918","https://openalex.org/W3158914629","https://openalex.org/W3171443666","https://openalex.org/W4220725638","https://openalex.org/W4226033290"],"related_works":["https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W3163022373","https://openalex.org/W3005999311","https://openalex.org/W4381746183","https://openalex.org/W2359600231","https://openalex.org/W2380019117","https://openalex.org/W3138952546","https://openalex.org/W1987886368","https://openalex.org/W1660309994"],"abstract_inverted_index":{"The":[0,59,98,122],"vehicle":[1,24,164],"collision":[2,11,66,70,95,158,165],"avoidance":[3,12,67,71,96,159,166],"system":[4],"has":[5,151],"problems":[6],"such":[7],"as":[8],"poor":[9],"emergency":[10,64],"ability":[13,160],"and":[14,31,85,112,119,130,145],"susceptibility":[15],"to":[16,37,80,134],"noise":[17],"interference.":[18],"Therefore,":[19],"this":[20,75],"study":[21,76,150],"adopts":[22],"a":[23,32,39],"tracking":[25],"model":[26,36,45,72],"that":[27,46,62,92],"integrates":[28,47],"dynamic":[29],"constraints":[30],"two":[33],"car":[34,104,123],"following":[35],"construct":[38],"Collaborative":[40],"Adaptive":[41],"Cruise":[42],"Control":[43,52],"(CACC)":[44],"Multi":[48],"Constraints":[49],"Model":[50],"Predictive":[51],"(MPC).":[53],"And":[54],"conducted":[55],"simulation":[56],"experimental":[57],"research.":[58],"results":[60],"show":[61],"in":[63,74],"braking":[65],"conditions,":[68],"the":[69,81,86,102,107,127,137,157],"designed":[73],"can":[77],"quickly":[78],"respond":[79],"distance":[82],"control":[83,87],"requirements,":[84],"stability":[88],"is":[89,139],"higher":[90],"than":[91],"of":[93,101,106,126,161],"common":[94],"systems.":[97],"standard":[99],"deviation":[100],"rear":[103],"acceleration":[105],"MPC+CACC,":[108,128],"reinforcement":[109],"learning":[110],"(RL),":[111],"proportional-integral-differential":[113],"(PID)":[114],"models":[115,132],"are":[116],"0.18m/s2,":[117],"0.25m/s2,":[118],"0.46m/s2,":[120],"respectively.":[121,148],"spacing":[124],"error":[125],"RL,":[129],"PID":[131],"converge":[133],"0m":[135],"when":[136],"time":[138],"about":[140],"13":[141],"seconds,":[142,144,147],"33":[143],"40":[146],"This":[149],"certain":[152],"reference":[153],"significance":[154],"for":[155],"improving":[156],"China\u2019s":[162],"intelligent":[163],"system.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
