{"id":"https://openalex.org/W4308082351","doi":"https://doi.org/10.1109/itsc55140.2022.9921845","title":"Vehicle-Road Collaborative Path Planning Based on $\\mathbf{A}^{\\ast}$ -assisted Deep Reinforcement Learning","display_name":"Vehicle-Road Collaborative Path Planning Based on $\\mathbf{A}^{\\ast}$ -assisted Deep Reinforcement Learning","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4308082351","doi":"https://doi.org/10.1109/itsc55140.2022.9921845"},"language":"en","primary_location":{"id":"doi:10.1109/itsc55140.2022.9921845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9921845","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th 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/A5034831666","display_name":"Chenhao Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenhao Jin","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University,Shenzhen,China","School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058762739","display_name":"Yinyan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinyan Wu","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University,Shenzhen,China","School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049701424","display_name":"Congduan Li","orcid":"https://orcid.org/0000-0003-0495-332X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congduan Li","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University,Shenzhen,China","School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034831666"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.8125,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69624573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3010","last_page":"3015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9904000163078308,"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"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9904000163078308,"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"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9835000038146973,"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":0.9811999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8451467752456665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6629204750061035},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.6289481520652771},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.594491720199585},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5912273526191711},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.554516613483429},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48778802156448364},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4695378541946411},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.36717745661735535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36082881689071655},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.18440115451812744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14952272176742554},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14121457934379578},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.129006028175354},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.07104858756065369}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8451467752456665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629204750061035},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6289481520652771},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.594491720199585},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5912273526191711},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.554516613483429},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48778802156448364},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4695378541946411},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.36717745661735535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36082881689071655},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.18440115451812744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14952272176742554},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14121457934379578},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.129006028175354},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.07104858756065369},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc55140.2022.9921845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9921845","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G7352521174","display_name":null,"funder_award_id":"61901534","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4400868993","https://openalex.org/W3096874164","https://openalex.org/W1985560493","https://openalex.org/W2937181779","https://openalex.org/W2386410636","https://openalex.org/W2357975469","https://openalex.org/W2145363145","https://openalex.org/W1626977535","https://openalex.org/W2341346307","https://openalex.org/W3168977894"],"abstract_inverted_index":{"Traffic":[0],"congestion":[1],"is":[2,21,121],"a":[3,45,142],"serious":[4],"problem":[5,147],"that":[6,123],"needs":[7],"to":[8,60,145],"be":[9],"solved":[10],"in":[11,64,77,99],"the":[12,27,39,69,74,78,80,104,113,124,133,146],"development":[13],"of":[14,106,115,148],"intelligent":[15],"transportation,":[16],"and":[17,49,87,129,135],"global":[18,41],"path":[19,42,62],"planning":[20,43],"an":[22,51],"effective":[23],"way,":[24],"especially":[25],"with":[26,73,132],"collaborative":[28],"optimization":[29,63],"on":[30,112],"various":[31],"traffic":[32,150],"participants.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,109],"formulate":[38],"vehicle":[40],"as":[44],"Markov":[46],"decision":[47],"problem,":[48],"propose":[50],"<tex":[52],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[53],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{A}^{\\ast}$</tex>":[54],"-assisted":[55],"deep":[56],"reinforcement":[57],"learning":[58],"algorithm":[59,126],"achieve":[61],"complex":[65,100,136],"environment":[66,137],"by":[67],"maximizing":[68],"total":[70],"rewards.":[71],"Compared":[72],"existing":[75],"ones":[76],"literature,":[79],"proposed":[81,125],"method":[82],"can":[83,130],"not":[84],"only":[85],"filter":[86],"extract":[88],"unobvious":[89],"features":[90],"from":[91],"multidimensional":[92],"observations,":[93],"but":[94],"also":[95],"make":[96],"dynamic":[97],"decisions":[98],"environment.":[101],"To":[102],"verify":[103],"effectiveness":[105],"our":[107],"algorithm,":[108],"design":[110],"experiments":[111],"Simulation":[114],"Urban":[116],"MObility":[117],"(SUMO)":[118],"platform.":[119],"It":[120],"shown":[122],"converges":[127],"faster":[128],"deal":[131],"changing":[134],"more":[138],"effectively,":[139],"which":[140],"provides":[141],"practical":[143],"solution":[144],"urban":[149],"congestion.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}