{"id":"https://openalex.org/W4417283705","doi":"https://doi.org/10.1145/3748636.3762769","title":"FCV2X-Net: Foresighted and Coordinated Vehicle-to-Everything Control for Joint Traffic Navigation and Signal Optimization","display_name":"FCV2X-Net: Foresighted and Coordinated Vehicle-to-Everything Control for Joint Traffic Navigation and Signal Optimization","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W4417283705","doi":"https://doi.org/10.1145/3748636.3762769"},"language":null,"primary_location":{"id":"doi:10.1145/3748636.3762769","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3762769","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3748636.3762769","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3748636.3762769","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055452361","display_name":"Jinwei Zeng","orcid":"https://orcid.org/0000-0003-4481-413X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinwei Zeng","raw_affiliation_strings":["Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068152831","display_name":"Hongyuan Su","orcid":"https://orcid.org/0009-0007-1110-2124"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyuan Su","raw_affiliation_strings":["Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China","Zhongguancun Academy, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Zhongguancun Academy, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347994","display_name":"Jian Yuan","orcid":"https://orcid.org/0000-0001-9734-6056"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yuan","raw_affiliation_strings":["Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055452361"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48373791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"561","last_page":"564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.4968999922275543,"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"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.4968999922275543,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.18289999663829803,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.15060000121593475,"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/key","display_name":"Key (lock)","score":0.5855000019073486},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5547999739646912},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.49309998750686646},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4153999984264374},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.40049999952316284},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.37959998846054077},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.3747999966144562},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.3725000023841858},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.3564000129699707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7325999736785889},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5855000019073486},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5547999739646912},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.49309998750686646},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4027999937534332},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.40049999952316284},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.37959998846054077},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.3747999966144562},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35370001196861267},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.290800005197525},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C64848388","wikidata":"https://www.wikidata.org/wiki/Q188867","display_name":"Futures studies","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C2778391309","wikidata":"https://www.wikidata.org/wiki/Q7832527","display_name":"Traffic simulation","level":3,"score":0.2547999918460846},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3748636.3762769","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3762769","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3748636.3762769","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3748636.3762769","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3762769","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3748636.3762769","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2437064176","display_name":null,"funder_award_id":"U21B2036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3614744892","display_name":null,"funder_award_id":"U23B2030","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417283705.pdf","grobid_xml":"https://content.openalex.org/works/W4417283705.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2056877664","https://openalex.org/W2983178256","https://openalex.org/W2998187693","https://openalex.org/W3089212412","https://openalex.org/W3148598834","https://openalex.org/W4309651352","https://openalex.org/W4393241349","https://openalex.org/W4408063441"],"related_works":[],"abstract_inverted_index":{"As":[0],"urban":[1,157],"traffic":[2,29],"networks":[3,56],"grow":[4],"more":[5],"complex,":[6],"seamless":[7],"interaction":[8],"between":[9],"vehicles":[10,22],"and":[11,28,38,57,82,86,118,146,160],"infrastructure":[12,33],"is":[13,41],"critical,":[14],"motivating":[15],"Vehicle-to-Everything":[16],"(V2X)-enabled":[17],"intelligent":[18],"transportation":[19],"systems.":[20,46],"Since":[21],"are":[23,162],"the":[24],"main":[25],"transport":[26],"agents":[27],"signals":[30],"a":[31,76,92,108],"key":[32],"component,":[34],"jointly":[35],"optimizing":[36],"navigation":[37,85],"signal":[39,122],"control":[40,123],"essential":[42],"for":[43,102,114,155],"sustainable":[44,156],"V2X":[45],"However,":[47],"existing":[48],"methods":[49],"often":[50],"ignore":[51],"long-range":[52,105],"dependencies":[53],"in":[54,84],"road":[55],"lack":[58],"effective":[59],"large-scale":[60,133],"vehicle":[61,116,129,142],"coordination,":[62],"limiting":[63],"their":[64],"ability":[65],"to":[66,127],"manage":[67],"complex":[68],"flows.":[69],"To":[70],"address":[71],"this,":[72],"we":[73],"propose":[74],"FCV2X-Net,":[75],"unified":[77],"framework":[78],"that":[79,125,139],"enhances":[80],"foresight":[81],"co-ordination":[83],"control.":[87],"It":[88],"consists":[89],"of:":[90],"(1)":[91],"Bayesian":[93],"Graph":[94],"Convolutional":[95],"Network":[96],"(BGCN)-based":[97],"module":[98,124],"with":[99,135],"adaptive":[100],"adjacency":[101],"modeling":[103],"implicit":[104],"correlations;":[106],"(2)":[107],"mean":[109],"field-based":[110],"intention":[111],"propagation":[112],"mechanism":[113],"scalable":[115],"coordination;":[117],"(3)":[119],"an":[120],"intention-aware":[121],"adapts":[126],"aggregated":[128],"intentions.":[130],"Experiments":[131],"on":[132],"scenarios":[134],"50":[136],"intersections":[137],"show":[138],"FCV2X-Net":[140],"increases":[141],"throughput":[143],"by":[144,150],"7.6%":[145],"reduces":[147],"travel":[148],"time":[149],"7.2%,":[151],"demonstrating":[152],"its":[153],"effectiveness":[154],"mobility.":[158],"Codes":[159],"datasets":[161],"available":[163],"at:":[164],"https://github.com/JinweiZzz/FCV2X-Net.":[165]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-12-12T00:00:00"}