{"id":"https://openalex.org/W3088559823","doi":"https://doi.org/10.1109/mnet.011.2000007","title":"Cross-Domain Resource Orchestration for the Edge-Computing-Enabled Smart Road","display_name":"Cross-Domain Resource Orchestration for the Edge-Computing-Enabled Smart Road","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3088559823","doi":"https://doi.org/10.1109/mnet.011.2000007","mag":"3088559823"},"language":"en","primary_location":{"id":"doi:10.1109/mnet.011.2000007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.011.2000007","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"is_oa":false,"is_in_doaj":false,"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 Network","raw_type":"journal-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/A5020164684","display_name":"Quan Yuan","orcid":"https://orcid.org/0000-0002-2552-333X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Yuan","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697367","display_name":"Jinglin Li","orcid":"https://orcid.org/0000-0002-6720-9533"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinglin Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043286765","display_name":"Haibo Zhou","orcid":"https://orcid.org/0000-0002-6549-8917"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Zhou","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047834526","display_name":"Guiyang Luo","orcid":"https://orcid.org/0000-0002-1912-8536"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiyang Luo","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109036828","display_name":"Tao Lin","orcid":"https://orcid.org/0000-0001-9100-6042"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Lin","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011978021","display_name":"Fangchun Yang","orcid":"https://orcid.org/0000-0002-6978-1787"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangchun Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773343","display_name":"Xuemin Shen","orcid":"https://orcid.org/0000-0002-4140-287X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xuemin Sherman Shen","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6271,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.8334085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"34","issue":"5","first_page":"60","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.8264563083648682},{"id":"https://openalex.org/keywords/orchestration","display_name":"Orchestration","score":0.8126182556152344},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5926527976989746},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.566981315612793},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.534816563129425},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5254082679748535},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5126892328262329},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.49121540784835815},{"id":"https://openalex.org/keywords/intelligent-agent","display_name":"Intelligent agent","score":0.435464471578598},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.4326215982437134},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.41256436705589294},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.4106990396976471},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4069158434867859},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32731038331985474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21384736895561218},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.13104867935180664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11177599430084229},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.09652823209762573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8264563083648682},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.8126182556152344},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5926527976989746},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.566981315612793},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.534816563129425},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5254082679748535},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5126892328262329},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.49121540784835815},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.435464471578598},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.4326215982437134},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.41256436705589294},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.4106990396976471},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4069158434867859},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32731038331985474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21384736895561218},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.13104867935180664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11177599430084229},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.09652823209762573},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mnet.011.2000007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.011.2000007","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"is_oa":false,"is_in_doaj":false,"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 Network","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2597306162","https://openalex.org/W2604842041","https://openalex.org/W2761862361","https://openalex.org/W2785065914","https://openalex.org/W2786309777","https://openalex.org/W2796121587","https://openalex.org/W2805225791","https://openalex.org/W2899462209","https://openalex.org/W2909215621","https://openalex.org/W2915117209","https://openalex.org/W2916025702","https://openalex.org/W2969195240","https://openalex.org/W2977191322","https://openalex.org/W2989596860","https://openalex.org/W3001774639","https://openalex.org/W3102812201","https://openalex.org/W6736155649"],"related_works":["https://openalex.org/W79913212","https://openalex.org/W2094884983","https://openalex.org/W4310007397","https://openalex.org/W2770104838","https://openalex.org/W4213154119","https://openalex.org/W2896418752","https://openalex.org/W4383749321","https://openalex.org/W2994939960","https://openalex.org/W3042990279","https://openalex.org/W14311596"],"abstract_inverted_index":{"Intelligent":[0],"driving":[1],"plays":[2],"a":[3,118,140,178,194,219],"role":[4],"in":[5,63,75,90,117,130],"significantly":[6],"improving":[7],"the":[8,16,30,35,43,60,64,69,76,81,88,91,100,109,126,135,144,155,159,167,188,213,216],"safety":[9],"and":[10,22,72,93,99,138,158,170,193,226],"efficiency":[11],"of":[12,19,34,51,84,102,191,215],"transportation":[13,65,94],"systems.":[14],"As":[15],"onboard":[17],"capabilities":[18],"perception,":[20],"comprehension,":[21],"decision":[23],"making":[24],"are":[25,96],"limited,":[26],"vehicles":[27,56],"can":[28],"employ":[29],"edge":[31,156],"computing":[32,73],"infrastructure":[33],"smart":[36,44,136],"road":[37,45,61],"to":[38,79,164,186,204],"enhance":[39],"their":[40,174],"intelligence.":[41],"Therefore,":[42],"is":[46,106,148,182,200,224],"considered":[47],"an":[48,151],"intelligent":[49,85],"Internet":[50],"Things":[52],"system.":[53],"It":[54],"provides":[55],"with":[57,108,150],"not":[58],"only":[59],"space":[62],"domain,":[66],"but":[67],"also":[68],"communication,":[70],"sensing,":[71],"resources":[74,89,105],"information":[77,92,171],"domain":[78],"improve":[80],"composite":[82],"quality":[83],"driving.":[86],"However,":[87],"domains":[95],"complicatedly":[97],"coupled,":[98],"orchestration":[101,133,222],"these":[103],"cross-domain":[104,131,220],"confronted":[107],"huge":[110],"state-action":[111],"space,":[112],"which":[113],"cannot":[114],"be":[115],"solved":[116],"real-time":[119],"manner.":[120],"In":[121],"this":[122],"article,":[123],"we":[124],"investigate":[125],"fundamental":[127],"research":[128],"challenges":[129],"resource":[132,208,221],"for":[134,173],"road,":[137],"design":[139],"multi-agent-based":[141],"framework.":[142],"Within":[143],"framework,":[145,218],"each":[146],"vehicle":[147],"associated":[149],"exclusive":[152],"agent":[153],"on":[154],"cloud,":[157],"agents":[160,185,203],"utilize":[161],"swarm":[162],"intelligence":[163],"jointly":[165],"optimize":[166],"traffic":[168],"flow":[169,172],"respective":[175],"vehicles.":[176],"Specifically,":[177],"value":[179],"iteration":[180],"network":[181],"used":[183],"by":[184],"learn":[187,206],"routing":[189],"behavior":[190],"vehicles,":[192],"multi-agent":[195],"deep":[196],"reinforcement":[197],"learning":[198],"method":[199],"proposed,":[201],"enabling":[202],"cooperatively":[205],"decentralized":[207],"optimization":[209],"policies.":[210],"To":[211],"verify":[212],"effectiveness":[214],"proposed":[217],"prototype":[223],"implemented":[225],"evaluated.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
