{"id":"https://openalex.org/W4221153241","doi":"https://doi.org/10.1109/tmc.2022.3188344","title":"Learning to Help Emergency Vehicles Arrive Faster: A Cooperative Vehicle-Road Scheduling Approach","display_name":"Learning to Help Emergency Vehicles Arrive Faster: A Cooperative Vehicle-Road Scheduling Approach","publication_year":2022,"publication_date":"2022-07-04","ids":{"openalex":"https://openalex.org/W4221153241","doi":"https://doi.org/10.1109/tmc.2022.3188344"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2022.3188344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2022.3188344","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Mobile Computing","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/A5071192763","display_name":"Lige Ding","orcid":"https://orcid.org/0000-0002-3189-1219"},"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":true,"raw_author_name":"Lige Ding","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366122","display_name":"Dong Zhao","orcid":"https://orcid.org/0000-0002-7337-9168"},"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":"Dong Zhao","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053925761","display_name":"Z. Wang","orcid":"https://orcid.org/0000-0002-4929-4957"},"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":"Zhaofeng Wang","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451759","display_name":"Guang Wang","orcid":"https://orcid.org/0000-0002-7739-7945"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guang Wang","raw_affiliation_strings":["Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030395145","display_name":"Chang Tan","orcid":"https://orcid.org/0000-0002-7707-1531"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang Tan","raw_affiliation_strings":["iFLYTEK Research, IFLYTEK Company, Ltd., Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"iFLYTEK Research, IFLYTEK Company, Ltd., Hefei, Anhui, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033072406","display_name":"Lei Fan","orcid":"https://orcid.org/0000-0003-0049-5819"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Fan","raw_affiliation_strings":["iFLYTEK Research, IFLYTEK Company, Ltd., Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"iFLYTEK Research, IFLYTEK Company, Ltd., Hefei, Anhui, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100710713","display_name":"Huad\u00f3ng Ma","orcid":"https://orcid.org/0000-0002-7199-5047"},"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":"Huadong Ma","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5071192763"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.9394,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.85641538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"22","issue":"10","first_page":"5949","last_page":"5962"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9997000098228455,"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":0.9997000098228455,"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/T10524","display_name":"Traffic control and management","score":0.9995999932289124,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"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/scheduling","display_name":"Scheduling (production processes)","score":0.6363963484764099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6315690279006958},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.46083906292915344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32660171389579773},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.17060646414756775},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13631832599639893}],"concepts":[{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6363963484764099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6315690279006958},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.46083906292915344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32660171389579773},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.17060646414756775},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13631832599639893},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2022.3188344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2022.3188344","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2075375251","display_name":null,"funder_award_id":"61720106007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G348925970","display_name":null,"funder_award_id":"2020XD-A09-3","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4544859010","display_name":null,"funder_award_id":"61732017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4621005366","display_name":null,"funder_award_id":"61972044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6287799790","display_name":null,"funder_award_id":"B18008","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W103885025","https://openalex.org/W573924038","https://openalex.org/W1639167632","https://openalex.org/W1936915774","https://openalex.org/W1998622835","https://openalex.org/W2005854848","https://openalex.org/W2007852842","https://openalex.org/W2007894170","https://openalex.org/W2031674781","https://openalex.org/W2044164471","https://openalex.org/W2062789233","https://openalex.org/W2068374650","https://openalex.org/W2074500080","https://openalex.org/W2088595989","https://openalex.org/W2124657875","https://openalex.org/W2141596757","https://openalex.org/W2177274602","https://openalex.org/W2211172803","https://openalex.org/W2508716390","https://openalex.org/W2549048496","https://openalex.org/W2592830952","https://openalex.org/W2768361919","https://openalex.org/W2785409760","https://openalex.org/W2795142517","https://openalex.org/W2809148419","https://openalex.org/W2904065660","https://openalex.org/W2915117209","https://openalex.org/W2944372187","https://openalex.org/W2945991855","https://openalex.org/W2952499930","https://openalex.org/W2952940422","https://openalex.org/W2964497527","https://openalex.org/W2964749398","https://openalex.org/W2983178256","https://openalex.org/W2987715998","https://openalex.org/W2998187693","https://openalex.org/W2998332605","https://openalex.org/W3005661826","https://openalex.org/W3006002486","https://openalex.org/W3042266317","https://openalex.org/W3080827759","https://openalex.org/W3085253484","https://openalex.org/W3096739060","https://openalex.org/W3105196786","https://openalex.org/W3147042931","https://openalex.org/W4288357413","https://openalex.org/W6616526780","https://openalex.org/W6642981214","https://openalex.org/W6667694051","https://openalex.org/W6762408531"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2348909947","https://openalex.org/W2350741829","https://openalex.org/W4292672442","https://openalex.org/W2530322880"],"abstract_inverted_index":{"The":[0,143,169],"ever-increasing":[1],"heavy":[2],"traffic":[3,57,68,130,160,171],"congestion":[4],"potentially":[5],"impedes":[6],"the":[7,48,55,60,67,82,149,156,184,210],"accessibility":[8],"of":[9,23,159,187],"emergency":[10],"vehicles":[11],"(EVs),":[12],"resulting":[13],"in":[14],"detrimental":[15],"impacts":[16],"on":[17,54,201],"critical":[18],"services":[19],"and":[20,70,89,127,139,162,190],"even":[21],"safety":[22],"people's":[24],"lives.":[25],"Hence,":[26],"it":[27],"is":[28],"significant":[29],"to":[30,36,46,65,77,154,182,194],"propose":[31,97],"an":[32,79],"efficient":[33],"scheduling":[34,43,62,119],"approach":[35,120,208],"help":[37],"EVs":[38,52,76],"arrive":[39],"faster.":[40],"Existing":[41],"vehicle-centric":[42],"approaches":[44,63],"aim":[45,64],"recommend":[47],"optimal":[49],"paths":[50],"for":[51,75],"based":[53,200],"current":[56],"status":[58],"while":[59],"road-centric":[61],"improve":[66],"condition":[69],"assign":[71],"a":[72,102,122,128,166,176],"higher":[73],"priority":[74],"pass":[78],"intersection.":[80],"With":[81],"intuition":[83],"that":[84,206],"real-time":[85,123,144,157],"vehicle-road":[86],"information":[87],"interaction":[88],"strategy":[90],"coordination":[91],"can":[92],"bring":[93],"more":[94],"benefits,":[95],"we":[96],"<italic":[98],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[99,104,109,113,117],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">LEVID</i>":[100],",":[101],"<underline":[103,108,112,116],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">LE</u>":[105],"arning-based":[106],"cooperative":[107,196],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">V</u>":[110],"eh":[111],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">I</u>":[114],"cle-roa":[115],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">D</u>":[118],"including":[121],"route":[124,145],"planning":[125,146],"module":[126,147,174],"collaborative":[129,170],"signal":[131,172],"control":[132,173],"module,":[133],"which":[134],"interact":[135],"with":[136],"each":[137],"other":[138],"make":[140],"decisions":[141],"iteratively.":[142],"adapts":[148],"artificial":[150],"potential":[151],"field":[152],"method":[153],"address":[155],"changes":[158],"signals":[161],"avoid":[163],"falling":[164],"into":[165],"local":[167],"optimum.":[168],"leverages":[175],"graph":[177],"attention":[178],"reinforcement":[179],"learning":[180],"framework":[181],"extract":[183],"latent":[185],"features":[186],"different":[188],"intersections":[189],"abstract":[191],"their":[192],"interplay":[193],"learn":[195],"policies.":[197],"Extensive":[198],"experiments":[199],"multiple":[202],"real-world":[203],"datasets":[204],"show":[205],"our":[207],"outperforms":[209],"state-of-the-art":[211],"baselines.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
