{"id":"https://openalex.org/W4391769890","doi":"https://doi.org/10.1109/ccwc60891.2024.10427616","title":"Agent Guidance in Autonomous Mobility on Demand Systems: An Approach Utilizing Priority Double Deep-Q-Networks","display_name":"Agent Guidance in Autonomous Mobility on Demand Systems: An Approach Utilizing Priority Double Deep-Q-Networks","publication_year":2024,"publication_date":"2024-01-08","ids":{"openalex":"https://openalex.org/W4391769890","doi":"https://doi.org/10.1109/ccwc60891.2024.10427616"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc60891.2024.10427616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc60891.2024.10427616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5101733280","display_name":"Jiyao Li","orcid":"https://orcid.org/0000-0002-2060-769X"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiyao Li","raw_affiliation_strings":["Utah State University,Department of Computer Science,Logan,U.S.A","Department of Computer Science, Utah State University, Logan, U.S.A"],"affiliations":[{"raw_affiliation_string":"Utah State University,Department of Computer Science,Logan,U.S.A","institution_ids":["https://openalex.org/I121980950"]},{"raw_affiliation_string":"Department of Computer Science, Utah State University, Logan, U.S.A","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075230326","display_name":"Vicki H. Allan","orcid":"https://orcid.org/0000-0001-9563-1347"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vicki H. Allan","raw_affiliation_strings":["Utah State University,Department of Computer Science,Logan,U.S.A","Department of Computer Science, Utah State University, Logan, U.S.A"],"affiliations":[{"raw_affiliation_string":"Utah State University,Department of Computer Science,Logan,U.S.A","institution_ids":["https://openalex.org/I121980950"]},{"raw_affiliation_string":"Department of Computer Science, Utah State University, Logan, U.S.A","institution_ids":["https://openalex.org/I121980950"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101733280"],"corresponding_institution_ids":["https://openalex.org/I121980950"],"apc_list":null,"apc_paid":null,"fwci":0.2312,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44220354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"0291","last_page":"0300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9998999834060669,"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":0.9983999729156494,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7762397527694702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7464500665664673},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6714972853660583},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6065771579742432},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.49248990416526794},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.48821189999580383},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4442984461784363},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4240569770336151},{"id":"https://openalex.org/keywords/supply-and-demand","display_name":"Supply and demand","score":0.41052502393722534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.308738112449646},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.24613958597183228},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.19589105248451233},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12530285120010376},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08988577127456665}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7762397527694702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7464500665664673},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6714972853660583},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6065771579742432},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.49248990416526794},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.48821189999580383},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4442984461784363},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4240569770336151},{"id":"https://openalex.org/C120330832","wikidata":"https://www.wikidata.org/wiki/Q166656","display_name":"Supply and demand","level":2,"score":0.41052502393722534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.308738112449646},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.24613958597183228},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.19589105248451233},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12530285120010376},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08988577127456665},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc60891.2024.10427616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc60891.2024.10427616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W1595483645","https://openalex.org/W2145339207","https://openalex.org/W2155027007","https://openalex.org/W2201581102","https://openalex.org/W2618530766","https://openalex.org/W2790769276","https://openalex.org/W2808810245","https://openalex.org/W2962764167","https://openalex.org/W2963403143","https://openalex.org/W2964804058","https://openalex.org/W2973229164","https://openalex.org/W3081574797","https://openalex.org/W3095667572","https://openalex.org/W3190405541","https://openalex.org/W4205893624","https://openalex.org/W4213030030","https://openalex.org/W4214717370","https://openalex.org/W4285606784","https://openalex.org/W4290949322","https://openalex.org/W4298857966","https://openalex.org/W4308068720","https://openalex.org/W6637967152","https://openalex.org/W6683204974","https://openalex.org/W6685444567","https://openalex.org/W6687681856","https://openalex.org/W6780559895"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2389214306","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2031695474","https://openalex.org/W2586732548"],"abstract_inverted_index":{"Autonomous":[0],"Mobility-on-Demand":[1],"(AMoD)":[2],"systems":[3],"have":[4],"become":[5],"an":[6],"integral":[7],"part":[8],"of":[9,19,69,97,127,138],"modern":[10],"urban":[11],"life,":[12],"reshaping":[13],"transportation":[14],"dynamics.":[15],"However,":[16],"the":[17,66,73,93,125,132],"challenge":[18],"orchestrating":[20],"multiple":[21],"vehicles":[22,71],"to":[23,64],"maintain":[24],"a":[25,33,37,46,59,80,87],"dynamic":[26],"equilibrium":[27],"between":[28],"supply":[29],"and":[30,95,119,135],"demand":[31],"in":[32,89,130],"multi-agent":[34],"environment":[35],"remains":[36],"critical":[38],"concern.":[39],"To":[40],"address":[41],"this":[42],"challenge,":[43],"we":[44,91],"propose":[45],"novel":[47],"Multiagent":[48],"Deep":[49],"Reinforcement":[50],"Learning":[51],"framework":[52],"called":[53],"Priority":[54],"Double":[55],"Deep-Q-Network":[56],"(Pr-DDQN)":[57],"with":[58],"new":[60],"cooperative":[61],"reward":[62],"mechanism":[63],"optimize":[65],"repositioning":[67],"route":[68],"vacant":[70],"within":[72],"AMoD":[74,139],"system.":[75],"Through":[76],"rigorous":[77],"experimentation":[78],"using":[79],"city-scale":[81],"dataset":[82],"comprising":[83],"48,000":[84],"requests":[85],"on":[86],"weekday":[88],"Chicago,":[90],"assess":[92],"scalability":[94],"efficiency":[96,134],"our":[98,128],"approach.":[99],"Comparative":[100],"results":[101],"demonstrate":[102],"that":[103],"Pr-DDQN":[104],"outperforms":[105],"existing":[106],"methods,":[107],"showcasing":[108],"superior":[109],"performance":[110,137],"across":[111],"key":[112],"metrics,":[113],"including":[114],"Service":[115],"Rate,":[116],"Satisfaction":[117],"Index,":[118],"Repositioning":[120],"Time.":[121],"These":[122],"findings":[123],"underscore":[124],"efficacy":[126],"approach":[129],"enhancing":[131],"operational":[133],"overall":[136],"systems.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
