{"id":"https://openalex.org/W4313582463","doi":"https://doi.org/10.3390/s23010530","title":"MALS-Net: A Multi-Head Attention-Based LSTM Sequence-to-Sequence Network for Socio-Temporal Interaction Modelling and Trajectory Prediction","display_name":"MALS-Net: A Multi-Head Attention-Based LSTM Sequence-to-Sequence Network for Socio-Temporal Interaction Modelling and Trajectory Prediction","publication_year":2023,"publication_date":"2023-01-03","ids":{"openalex":"https://openalex.org/W4313582463","doi":"https://doi.org/10.3390/s23010530","pmid":"https://pubmed.ncbi.nlm.nih.gov/36617127"},"language":"en","primary_location":{"id":"doi:10.3390/s23010530","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23010530","pdf_url":"https://www.mdpi.com/1424-8220/23/1/530/pdf?version=1672890897","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/1/530/pdf?version=1672890897","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060070478","display_name":"Fuad Hasan","orcid":"https://orcid.org/0000-0002-7228-065X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Fuad Hasan","raw_affiliation_strings":["Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-7228-065X","affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037131765","display_name":"Hailong Huang","orcid":"https://orcid.org/0000-0003-2667-6423"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Hailong Huang","raw_affiliation_strings":["Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-2667-6423","affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5037131765"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":2.7909,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.9097417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"23","issue":"1","first_page":"530","last_page":"530"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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":0.9998000264167786,"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/T10370","display_name":"Traffic and Road Safety","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/overfitting","display_name":"Overfitting","score":0.86492520570755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7202787399291992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5889900326728821},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5809755325317383},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.579445481300354},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5736597180366516},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5601556301116943},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5535804629325867},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5513531565666199},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5040601491928101},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4862138330936432},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.30618274211883545},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15552103519439697},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09155786037445068},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08967652916908264}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.86492520570755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7202787399291992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5889900326728821},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5809755325317383},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.579445481300354},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5736597180366516},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5601556301116943},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5535804629325867},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5513531565666199},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5040601491928101},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4862138330936432},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30618274211883545},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15552103519439697},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09155786037445068},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08967652916908264},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011211","descriptor_name":"Electric Power Supplies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011211","descriptor_name":"Electric Power Supplies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011211","descriptor_name":"Electric Power Supplies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.3390/s23010530","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23010530","pdf_url":"https://www.mdpi.com/1424-8220/23/1/530/pdf?version=1672890897","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:36617127","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36617127","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/98858","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/98858","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/98858/1/sensors-23-00530-v3.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal/Magazine Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9824267","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9824267","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9824267/pdf/sensors-23-00530.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:94365a8c54e64f7a8f3d827e0f891df8","is_oa":true,"landing_page_url":"https://doaj.org/article/94365a8c54e64f7a8f3d827e0f891df8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 1, p 530 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/1/530/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23010530","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 1; Pages: 530","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23010530","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23010530","pdf_url":"https://www.mdpi.com/1424-8220/23/1/530/pdf?version=1672890897","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G858403857","display_name":null,"funder_award_id":"9AAE44","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"}],"funders":[{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313582463.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W831676043","https://openalex.org/W1533861849","https://openalex.org/W1683982302","https://openalex.org/W1847191588","https://openalex.org/W1965455100","https://openalex.org/W1966531211","https://openalex.org/W2017368465","https://openalex.org/W2055556996","https://openalex.org/W2064675550","https://openalex.org/W2067261106","https://openalex.org/W2100995606","https://openalex.org/W2111876879","https://openalex.org/W2159900645","https://openalex.org/W2169601390","https://openalex.org/W2424778531","https://openalex.org/W2598593653","https://openalex.org/W2761568138","https://openalex.org/W2784715585","https://openalex.org/W2896642734","https://openalex.org/W2897326341","https://openalex.org/W2963001155","https://openalex.org/W2963353290","https://openalex.org/W2963906196","https://openalex.org/W2968847206","https://openalex.org/W2977834144","https://openalex.org/W2989851631","https://openalex.org/W3003080599","https://openalex.org/W3016826426","https://openalex.org/W3046791050","https://openalex.org/W3097237405","https://openalex.org/W3100605398","https://openalex.org/W3103869897","https://openalex.org/W3104946437","https://openalex.org/W3128389553","https://openalex.org/W3136999308","https://openalex.org/W3160582233","https://openalex.org/W3187170253","https://openalex.org/W3200591197","https://openalex.org/W4200593386","https://openalex.org/W4205452799","https://openalex.org/W4206503634","https://openalex.org/W4220681176","https://openalex.org/W6631943919","https://openalex.org/W6739901393","https://openalex.org/W6778059963"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4221142204"],"abstract_inverted_index":{"Predicting":[0],"the":[1,46,114,139,167],"trajectories":[2,39],"of":[3,45,122,138,170],"surrounding":[4],"vehicles":[5],"is":[6,32],"an":[7,149],"essential":[8],"task":[9],"in":[10,14,21,100,108,117,160],"autonomous":[11],"driving,":[12],"especially":[13],"a":[15,43,71,129,162],"highway":[16],"setting,":[17],"where":[18],"minor":[19],"deviations":[20],"motion":[22],"can":[23],"cause":[24],"serious":[25],"road":[26],"accidents.":[27],"The":[28,154],"future":[29,67],"trajectory":[30],"prediction":[31],"often":[33],"not":[34],"only":[35],"based":[36],"on":[37,42,70],"historical":[38],"but":[40],"also":[41],"representation":[44],"interaction":[47,64],"between":[48],"neighbouring":[49],"vehicles.":[50],"Current":[51],"state-of-the-art":[52,180],"methods":[53],"have":[54,104],"extensively":[55],"utilized":[56],"RNNs,":[57],"CNNs":[58],"and":[59,65,86,185],"GNNs":[60],"to":[61,88,113,173],"model":[62,134,156,178],"this":[63,109],"predict":[66],"trajectories,":[68],"relying":[69],"very":[72],"popular":[73],"dataset":[74,165],"known":[75],"as":[76],"NGSIM,":[77],"which,":[78],"however,":[79],"has":[80],"been":[81,106],"criticized":[82],"for":[83,182],"being":[84],"noisy":[85],"prone":[87],"overfitting":[89,168],"issues.":[90],"Moreover,":[91],"transformers,":[92],"which":[93],"gained":[94],"popularity":[95],"from":[96,144],"their":[97,118],"benchmark":[98],"performance":[99,181],"various":[101],"NLP":[102],"tasks,":[103],"hardly":[105],"explored":[107],"problem,":[110],"presumably":[111],"due":[112],"accumulative":[115,145],"errors":[116,146],"autoregressive":[119],"decoding":[120],"nature":[121],"time-series":[123],"forecasting.":[124],"Therefore,":[125],"we":[126],"propose":[127],"MALS-Net,":[128],"Multi-Head":[130],"Attention-based":[131],"LSTM":[132,151],"Sequence-to-Sequence":[133],"that":[135],"makes":[136],"use":[137],"transformer's":[140],"mechanism":[141],"without":[142,166],"suffering":[143],"by":[147],"utilizing":[148],"attention-based":[150],"encoder-decoder":[152],"architecture.":[153],"proposed":[155],"was":[157],"then":[158],"evaluated":[159],"BLVD,":[161],"more":[163],"practical":[164],"issue":[169],"NGSIM.":[171],"Compared":[172],"other":[174],"relevant":[175],"approaches,":[176],"our":[177],"exhibits":[179],"both":[183],"short":[184],"long-term":[186],"prediction.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}