{"id":"https://openalex.org/W4416390189","doi":"https://doi.org/10.3390/systems13111036","title":"Trajectory Prediction for Powered Two-Wheelers in Mixed Traffic Scenes: An Enhanced Social-GAT Approach","display_name":"Trajectory Prediction for Powered Two-Wheelers in Mixed Traffic Scenes: An Enhanced Social-GAT Approach","publication_year":2025,"publication_date":"2025-11-19","ids":{"openalex":"https://openalex.org/W4416390189","doi":"https://doi.org/10.3390/systems13111036"},"language":"en","primary_location":{"id":"doi:10.3390/systems13111036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems13111036","pdf_url":"https://www.mdpi.com/2079-8954/13/11/1036/pdf?version=1763550787","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-8954/13/11/1036/pdf?version=1763550787","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018394926","display_name":"Lingyao Zeng","orcid":"https://orcid.org/0000-0001-9912-1520"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longxin Zeng","raw_affiliation_strings":["School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541000, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541000, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010235564","display_name":"Fujian Chen","orcid":"https://orcid.org/0000-0002-8606-3648"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fujian Chen","raw_affiliation_strings":["School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541000, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541000, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039387364","display_name":"J. S. Li","orcid":"https://orcid.org/0009-0009-0256-1382"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangfeng Li","raw_affiliation_strings":["School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541000, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541000, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101567973","display_name":"Haiquan Wang","orcid":"https://orcid.org/0000-0003-1745-9814"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiquan Wang","raw_affiliation_strings":["School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541000, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541000, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340449","display_name":"Yujie Li","orcid":"https://orcid.org/0000-0002-5801-4937"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Li","raw_affiliation_strings":["School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin 541000, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin 541000, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048849816","display_name":"Zhongyi Zhai","orcid":"https://orcid.org/0000-0003-4935-3993"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyi Zhai","raw_affiliation_strings":["School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541000, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541000, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5010235564"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.7114,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77406041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"13","issue":"11","first_page":"1036","last_page":"1036"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9749000072479248,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9749000072479248,"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.004000000189989805,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.0020000000949949026,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8327999711036682},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6115000247955322},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5699999928474426},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48420000076293945},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4458000063896179},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.43779999017715454}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8327999711036682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7093999981880188},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6115000247955322},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5699999928474426},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48420000076293945},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4458000063896179},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.43779999017715454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4296000003814697},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.39910000562667847},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28450000286102295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2777000069618225},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2621999979019165},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/systems13111036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems13111036","pdf_url":"https://www.mdpi.com/2079-8954/13/11/1036/pdf?version=1763550787","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2a1b67ecedc4488fbee04ccf9ff99ad8","is_oa":true,"landing_page_url":"https://doaj.org/article/2a1b67ecedc4488fbee04ccf9ff99ad8","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Systems, Vol 13, Iss 11, p 1036 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/systems13111036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems13111036","pdf_url":"https://www.mdpi.com/2079-8954/13/11/1036/pdf?version=1763550787","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"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/G3085993365","display_name":null,"funder_award_id":"(Grant No.","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/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","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"},{"id":"https://openalex.org/G6831634507","display_name":null,"funder_award_id":"62495083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G936609678","display_name":null,"funder_award_id":"62262009","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/W4416390189.pdf","grobid_xml":"https://content.openalex.org/works/W4416390189.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1578421573","https://openalex.org/W2064675550","https://openalex.org/W2116341502","https://openalex.org/W2167052694","https://openalex.org/W2424778531","https://openalex.org/W2508946775","https://openalex.org/W2899817162","https://openalex.org/W2905385096","https://openalex.org/W2920784863","https://openalex.org/W2944791333","https://openalex.org/W2963001155","https://openalex.org/W2964514043","https://openalex.org/W2968531716","https://openalex.org/W2970683415","https://openalex.org/W3003235888","https://openalex.org/W3005048145","https://openalex.org/W3006285122","https://openalex.org/W3093896348","https://openalex.org/W3114563362","https://openalex.org/W3114950604","https://openalex.org/W3116651890","https://openalex.org/W3134382517","https://openalex.org/W3189825284","https://openalex.org/W4200015065","https://openalex.org/W4226239849","https://openalex.org/W4244815806","https://openalex.org/W4312731878","https://openalex.org/W4313380228","https://openalex.org/W4323353348","https://openalex.org/W4323565827","https://openalex.org/W4380318728","https://openalex.org/W4385221361","https://openalex.org/W4386232083","https://openalex.org/W4387336576","https://openalex.org/W4389504430","https://openalex.org/W4390788068","https://openalex.org/W4396696590","https://openalex.org/W4403285479","https://openalex.org/W4403948170","https://openalex.org/W4412706816","https://openalex.org/W4412911197","https://openalex.org/W4413066713"],"related_works":[],"abstract_inverted_index":{"In":[0],"mixed":[1,171],"traffic":[2,172],"scenarios":[3],"involving":[4],"both":[5],"motorized":[6],"and":[7,40,75,87,106,120,145,164],"non-motorized":[8],"participants,":[9],"accurately":[10],"predicting":[11],"future":[12],"trajectories":[13],"of":[14,27,66,139],"surrounding":[15,107],"vehicles":[16,108],"remains":[17],"a":[18,56,67,78,88],"major":[19],"challenge":[20],"for":[21,59,166],"autonomous":[22],"driving.":[23],"Predicting":[24],"the":[25,98,122,128,152],"motion":[26,76],"powered":[28],"two-wheelers":[29],"(PTWs)":[30],"is":[31],"particularly":[32],"difficult":[33],"due":[34],"to":[35,82,93],"their":[36],"abrupt":[37],"behavioral":[38],"changes":[39],"stochastic":[41],"interaction":[42,99],"patterns.":[43],"To":[44],"address":[45],"this":[46,48],"issue,":[47],"paper":[49],"proposes":[50],"an":[51,114,136],"enhanced":[52],"Social-GAT":[53],"model":[54,64,94,134],"with":[55],"multi-module":[57],"architecture":[58],"PTW":[60,167],"trajectory":[61,168],"prediction.":[62],"The":[63],"consists":[65],"dual-channel":[68],"LSTM":[69,115],"encoder":[70],"that":[71,132],"separately":[72],"processes":[73],"position":[74],"features;":[77],"temporal":[79],"attention":[80],"mechanism":[81],"weight":[83],"key":[84],"historical":[85],"states;":[86],"residual-connected":[89],"two-layer":[90],"GAT":[91],"structure":[92],"social":[95],"relationships":[96],"within":[97],"range,":[100],"capturing":[101],"interactive":[102],"features":[103,119],"between":[104],"PTWs":[105],"through":[109],"dynamic":[110],"adjacency":[111],"matrices.":[112],"Finally,":[113],"decoder":[116],"integrates":[117],"spatiotemporal":[118],"outputs":[121],"predicted":[123],"trajectory.":[124],"Experimental":[125],"results":[126],"on":[127],"rounD":[129],"dataset":[130],"demonstrate":[131],"our":[133],"achieves":[135],"outstanding":[137],"ADE":[138],"0.28,":[140],"surpassing":[141],"Trajectron++":[142],"by":[143,147],"9.68%":[144],"Social-GAN":[146],"69.2%.":[148],"It":[149],"also":[150],"attains":[151],"lowest":[153],"RMSE":[154],"values":[155],"across":[156],"0.4\u20132.0s":[157],"prediction":[158,169],"horizons,":[159],"confirming":[160],"its":[161],"superior":[162],"accuracy":[163],"stability":[165],"in":[170],"environments.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-11-19T00:00:00"}