{"id":"https://openalex.org/W4400645707","doi":"https://doi.org/10.1109/iv55156.2024.10588807","title":"Learning Realistic and Reactive Traffic Agents","display_name":"Learning Realistic and Reactive Traffic Agents","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400645707","doi":"https://doi.org/10.1109/iv55156.2024.10588807"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588807","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iv55156.2024.10588807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","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/A5058410192","display_name":"Meixin Zhu","orcid":"https://orcid.org/0000-0003-3291-3616"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Meixin Zhu","raw_affiliation_strings":["Hong Kong University of Science and Technology,Systems Hub,Guangzhou"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology,Systems Hub,Guangzhou","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101509181","display_name":"Di Chen","orcid":"https://orcid.org/0000-0002-6790-3445"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Di Chen","raw_affiliation_strings":["Hong Kong University of Science and Technology,Systems Hub,Guangzhou"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology,Systems Hub,Guangzhou","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002612004","display_name":"Xinyi Yuan","orcid":"https://orcid.org/0009-0008-7149-3988"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xinyi Yuan","raw_affiliation_strings":["Hong Kong University of Science and Technology,Systems Hub,Guangzhou"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology,Systems Hub,Guangzhou","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024730880","display_name":"Zhiwei Shang","orcid":"https://orcid.org/0009-0000-6829-4568"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhiwei Shang","raw_affiliation_strings":["Hong Kong University of Science and Technology,Systems Hub,Guangzhou"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology,Systems Hub,Guangzhou","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100387427","display_name":"Chenxi Liu","orcid":"https://orcid.org/0000-0002-9134-1235"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenxi Liu","raw_affiliation_strings":["University of Washington,Department of Civil and Environmental Engineering,Seattle,WA,USA,98195"],"affiliations":[{"raw_affiliation_string":"University of Washington,Department of Civil and Environmental Engineering,Seattle,WA,USA,98195","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058410192"],"corresponding_institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11329608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"2491","last_page":"2496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9672999978065491,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9599999785423279,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6820999383926392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3301583528518677}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6820999383926392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3301583528518677}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iv55156.2024.10588807","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iv55156.2024.10588807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-142719","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-142719","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335480","display_name":"Guangzhou Municipal Science and Technology Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W112269840","https://openalex.org/W1522301498","https://openalex.org/W1965455100","https://openalex.org/W2003642326","https://openalex.org/W2008039411","https://openalex.org/W2047688790","https://openalex.org/W2056877664","https://openalex.org/W2063059576","https://openalex.org/W2066695803","https://openalex.org/W2124298315","https://openalex.org/W2583080009","https://openalex.org/W2905173465","https://openalex.org/W3130864471","https://openalex.org/W3166485942","https://openalex.org/W3181350748","https://openalex.org/W3203018838","https://openalex.org/W3207915602","https://openalex.org/W4225565707","https://openalex.org/W4226239849","https://openalex.org/W4229450941","https://openalex.org/W4287115177","https://openalex.org/W4383108532","https://openalex.org/W4386494508","https://openalex.org/W6604572308","https://openalex.org/W6631190155","https://openalex.org/W6640174482","https://openalex.org/W6732803219","https://openalex.org/W6797256610","https://openalex.org/W6801415009"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"In":[0,54],"recent":[1],"years,":[2],"remarkable":[3],"strides":[4],"have":[5,91],"been":[6],"made":[7],"in":[8,84,125,204],"the":[9,25,38,44,55,69],"field":[10],"of":[11,27,41,46,57,67],"autonomous":[12,47],"driving,":[13],"with":[14,163],"a":[15,51,61,142,172],"particular":[16],"focus":[17],"on":[18],"enhancing":[19],"perception":[20],"and":[21,30,75,96,129,151,167,180,186,207,223],"prediction":[22],"capabilities":[23],"through":[24,188],"integration":[26],"big":[28],"data":[29,162],"advanced":[31],"deep":[32],"learning":[33,155],"algorithms.":[34],"Despite":[35],"these":[36,138],"advancements,":[37],"persistent":[39],"challenge":[40,63],"effectively":[42],"validating":[43],"performance":[45],"vehicles":[48,220],"(AVs)":[49],"remains":[50],"critical":[52],"issue.":[53],"realm":[56],"microscopic":[58],"traffic":[59,116,146,209,215],"simulation,":[60,148],"noteworthy":[62],"persists":[64],"\u2013":[65],"that":[66],"bridging":[68],"behavior":[70,83,131],"gap":[71],"between":[72],"simulated":[73,102],"scenarios":[74],"real-world":[76,160,199],"driving":[77,135,161],"situations.":[78],"Efforts":[79],"to":[80,93,98,106,109,127,218],"define":[81],"agent":[82,147,157],"simulations":[85],"manually":[86],"or":[87],"replay":[88],"observed":[89],"behaviors":[90],"proven":[92],"be":[94],"inefficient":[95],"prone":[97],"inaccuracies,":[99],"mainly":[100],"because":[101],"agents":[103],"often":[104],"fail":[105],"authentically":[107],"react":[108],"actions":[110],"initiated":[111],"by":[112],"AVs.":[113],"While":[114],"rule-based":[115],"simulation":[117,190],"models":[118,158],"offer":[119],"plausible":[120],"behaviors,":[121,210],"they":[122],"exhibit":[123],"limitations":[124],"adapting":[126],"diverse":[128,206],"data-driven":[130,156],"patterns":[132],"within":[133],"complex":[134],"interactions.":[136],"Addressing":[137],"challenges,":[139],"we":[140,177],"propose":[141],"learning-based":[143],"method":[144],"for":[145],"emphasizing":[149],"realism":[150,185],"reactivity.":[152],"This":[153],"involves":[154],"from":[159],"detailed":[164],"interaction":[165],"information":[166],"high-definition":[168],"(HD)":[169],"maps.":[170],"Utilizing":[171],"convolutional":[173],"neural":[174],"network":[175],"(CNN),":[176],"extract":[178],"features":[179],"predict":[181],"future":[182],"trajectories,":[183],"achieving":[184],"reactivity":[187],"closed-loop":[189],"at":[191,213],"inference.":[192],"The":[193],"proposed":[194],"model":[195],"is":[196],"evaluated":[197],"using":[198],"data,":[200],"demonstrating":[201],"its":[202],"effectiveness":[203],"simulating":[205],"realistic":[208],"like":[211],"stopping":[212],"red":[214],"lights,":[216],"yielding":[217],"other":[219],"during":[221],"right-turn-on-red,":[222],"car":[224],"following.":[225]},"counts_by_year":[],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}
