{"id":"https://openalex.org/W4413018137","doi":"https://doi.org/10.1109/iv64158.2025.11097401","title":"xTL: Reducing Communication Overhead with XAI-Guided, Semantic-Aware DRL for Urban Traffic Light Control","display_name":"xTL: Reducing Communication Overhead with XAI-Guided, Semantic-Aware DRL for Urban Traffic Light Control","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4413018137","doi":"https://doi.org/10.1109/iv64158.2025.11097401"},"language":"en","primary_location":{"id":"doi:10.1109/iv64158.2025.11097401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv64158.2025.11097401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5081994634","display_name":"Jiaying Guo","orcid":"https://orcid.org/0000-0003-4847-0581"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Jiaying Guo","raw_affiliation_strings":["School of Computer Science, University College Dublin, Belfield,Dublin,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Belfield,Dublin,Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011845242","display_name":"Shen Wang","orcid":"https://orcid.org/0000-0003-3660-1206"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Shen Wang","raw_affiliation_strings":["School of Computer Science, University College Dublin, Belfield,Dublin,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Belfield,Dublin,Ireland","institution_ids":["https://openalex.org/I100930933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100930933"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2033","last_page":"2038"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12720","display_name":"Multimedia Communication and Technology","score":0.9634000062942505,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9634000062942505,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.958299994468689,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12203","display_name":"Mobile Agent-Based Network Management","score":0.9229000210762024,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7382584810256958},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6457046270370483},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5818122625350952},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4684693217277527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15015798807144165},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.06061717867851257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7382584810256958},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6457046270370483},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5818122625350952},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4684693217277527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15015798807144165},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06061717867851257}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv64158.2025.11097401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv64158.2025.11097401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2794842204","https://openalex.org/W2809148419","https://openalex.org/W2964933785","https://openalex.org/W3198804470","https://openalex.org/W3213599193","https://openalex.org/W4205683915","https://openalex.org/W4389576008","https://openalex.org/W4400276405","https://openalex.org/W6741002519","https://openalex.org/W7028793324"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Deep":[0],"Reinforcement":[1],"Learning":[2],"(DRL)":[3],"for":[4],"traffic":[5,14,46,49,117,153,185],"light":[6],"control":[7,186],"adaptively":[8],"adjusts":[9],"signals":[10],"based":[11],"on":[12,95,145,160],"real-time":[13],"conditions":[15],"to":[16,80,102,113],"alleviate":[17],"urban":[18,162],"congestion.":[19],"However,":[20],"transmitting":[21],"image":[22,67,120],"data":[23],"from":[24,119],"intersection":[25,152],"cameras":[26],"results":[27],"in":[28,34,141,164],"high":[29],"communication":[30,59,87,170],"overhead":[31],"and":[32,85,105,155,175],"latency":[33],"practical":[35],"deployments.":[36],"Traditional":[37],"DRL":[38,77,91,177],"methods":[39],"lack":[40],"interpretability":[41],"when":[42],"selecting":[43],"some":[44],"common":[45],"features":[47,118],"(e.g.,":[48],"densities,":[50],"speed)":[51],"as":[52],"state":[53,83],"input.":[54],"Inspired":[55],"by":[56,109,172,180],"6G":[57],"semantic":[58,62,82,116],"that":[60,92,167],"transmits":[61],"information":[63],"rather":[64],"than":[65],"raw":[66],"data,":[68],"this":[69],"paper":[70],"proposes":[71],"xTL,":[72],"an":[73],"eXplainable":[74],"AI":[75],"(XAI)-guided":[76],"development":[78],"approach":[79],"achieve":[81],"design":[84,108],"address":[86],"overhead.":[88],"Unlike":[89],"traditional":[90],"heavily":[93],"depends":[94],"empirical":[96],"tuning,":[97],"xTL":[98,168],"allows":[99],"human":[100],"experts":[101],"efficiently":[103],"guide":[104],"interpret":[106,151],"model":[107],"using":[110],"XAI-generated":[111],"explanations":[112],"distill":[114],"lightweight":[115],"data.":[121],"Utilizing":[122],"SHapley":[123],"Additive":[124],"exPlanations":[125],"(SHAP)-generated":[126],"saliency":[127],"maps,":[128],"we":[129],"identify":[130],"a":[131],"new":[132],"critical":[133],"feature:":[134],"the":[135,138,142],"location":[136],"of":[137],"last":[139],"vehicle":[140],"first":[143],"platoon":[144],"each":[146],"incoming":[147],"road,":[148],"which":[149],"can":[150],"dynamics":[154],"effectively":[156],"improve":[157],"traffic.":[158],"Experiments":[159],"two":[161],"intersections":[163],"SUMO":[165],"demonstrate":[166],"slashes":[169],"costs":[171],"over":[173],"90%":[174],"shortens":[176],"training":[178],"duration":[179],"about":[181],"21%,":[182],"without":[183],"compromising":[184],"effectiveness.":[187]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}