{"id":"https://openalex.org/W3004802190","doi":"https://doi.org/10.1177/1550147720903620","title":"Tracking and climbing behavior recognition of heavy-duty trucks on roadways","display_name":"Tracking and climbing behavior recognition of heavy-duty trucks on roadways","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3004802190","doi":"https://doi.org/10.1177/1550147720903620","mag":"3004802190"},"language":"en","primary_location":{"id":"doi:10.1177/1550147720903620","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147720903620","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147720903620","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147720903620","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064826355","display_name":"Lei Tang","orcid":"https://orcid.org/0000-0001-5465-610X"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Tang","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057157757","display_name":"Jingchi Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingchi Jia","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058411526","display_name":"Zongtao Duan","orcid":"https://orcid.org/0000-0002-9920-7751"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zongtao Duan","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112865478","display_name":"Jingyu Ma","orcid":"https://orcid.org/0000-0002-5524-6353"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Ma","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018557181","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-1733-3982"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Department of Geomatics Engineering, University of Calgary, Calgary, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Geomatics Engineering, University of Calgary, Calgary, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008233279","display_name":"Weiwei Kong","orcid":"https://orcid.org/0000-0003-2144-4236"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiwei Kong","raw_affiliation_strings":["Shaanxi Skywin Internet of Trucks Information Technology Co., Ltd, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Skywin Internet of Trucks Information Technology Co., Ltd, Xi\u2019an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5058411526"],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02018813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":"2","first_page":"155014772090362","last_page":"155014772090362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9991999864578247,"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/T10524","display_name":"Traffic control and management","score":0.9988999962806702,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.998199999332428,"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/truck","display_name":"Truck","score":0.8899966478347778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7641067504882812},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5496575832366943},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5307794809341431},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5087657570838928},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.499164342880249},{"id":"https://openalex.org/keywords/elevation","display_name":"Elevation (ballistics)","score":0.4652614891529083},{"id":"https://openalex.org/keywords/heavy-duty","display_name":"Heavy duty","score":0.4569869041442871},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.43627113103866577},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3861963152885437},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2857326865196228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28301018476486206},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.17093625664710999},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10086584091186523}],"concepts":[{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.8899966478347778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7641067504882812},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5496575832366943},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5307794809341431},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5087657570838928},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.499164342880249},{"id":"https://openalex.org/C37054046","wikidata":"https://www.wikidata.org/wiki/Q641888","display_name":"Elevation (ballistics)","level":2,"score":0.4652614891529083},{"id":"https://openalex.org/C2993573757","wikidata":"https://www.wikidata.org/wiki/Q3784054","display_name":"Heavy duty","level":2,"score":0.4569869041442871},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43627113103866577},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3861963152885437},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2857326865196228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28301018476486206},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.17093625664710999},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10086584091186523},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1177/1550147720903620","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147720903620","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147720903620","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:sae:intdis:v:16:y:2020:i:2:p:1550147720903620","is_oa":false,"landing_page_url":"https://journals.sagepub.com/doi/10.1177/1550147720903620","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:doaj.org/article:5c2f32ad18bd41fab450eaee449e13e4","is_oa":true,"landing_page_url":"https://doaj.org/article/5c2f32ad18bd41fab450eaee449e13e4","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Distributed Sensor Networks, Vol 16 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1177/1550147720903620","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147720903620","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147720903620","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3004802190.pdf","grobid_xml":"https://content.openalex.org/works/W3004802190.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1871654789","https://openalex.org/W1980734998","https://openalex.org/W2023128648","https://openalex.org/W2036247069","https://openalex.org/W2039575643","https://openalex.org/W2049599044","https://openalex.org/W2062843776","https://openalex.org/W2066780679","https://openalex.org/W2095237110","https://openalex.org/W2124298315","https://openalex.org/W2157180464","https://openalex.org/W2324126221","https://openalex.org/W2523137271","https://openalex.org/W2539417147","https://openalex.org/W2620407671","https://openalex.org/W2734024016","https://openalex.org/W2762828613","https://openalex.org/W2771795510","https://openalex.org/W2808545847"],"related_works":["https://openalex.org/W2362148937","https://openalex.org/W627398415","https://openalex.org/W4252019847","https://openalex.org/W4254204236","https://openalex.org/W829935278","https://openalex.org/W4210551371","https://openalex.org/W2392119071","https://openalex.org/W2350722454","https://openalex.org/W754166688","https://openalex.org/W2087328555"],"abstract_inverted_index":{"The":[0,25,183],"tracking":[1,32,60,164],"and":[2,19,33,47,61,109,165,188,204,206,222,228],"behavior":[3,37,62,166],"recognition":[4,63,167],"of":[5,15,28,70,114,179,201],"heavy-duty":[6,17,71,145,226],"trucks":[7,18,29,72,227],"on":[8,73,135,153,194],"roadways":[9],"are":[10],"keys":[11],"for":[12,117,224],"the":[13,68,80,112,136,154,159,163,177,180,210,216,241],"development":[14],"automated":[16,225],"an":[20,171,202],"advanced":[21,229],"driver":[22,230],"assistance":[23,231],"system.":[24],"spatiotemporal":[26],"information":[27,156,243],"from":[30,36,106],"trajectory":[31,197],"motions":[34],"learnt":[35],"analysis":[38],"can":[39,66,237],"be":[40],"employed":[41],"to":[42,51,89,102,110,130,157,162,175],"predict":[43],"possible":[44],"driving":[45],"risks":[46],"generate":[48,238],"safe":[49],"motion":[50],"avoid":[52],"roadway":[53,160],"accidents.":[54],"This":[55],"article":[56],"presents":[57],"a":[58,195],"unified":[59],"algorithm":[64,174],"that":[65,215],"model":[67,126,149,185,218],"mobility":[69,147],"long":[74],"inclined":[75],"roadways.":[76],"Random":[77],"noise":[78,108],"within":[79],"sampled":[81],"elevation":[82,139,242],"data":[83],"is":[84,99,127,150,186],"addressed":[85],"by":[86],"time-based":[87],"segmentation":[88],"extract":[90],"time-continuous":[91],"samples":[92],"at":[93],"geographical":[94,142],"locations.":[95,143],"A":[96,121,144],"Kalman":[97],"filter":[98],"first":[100],"used":[101],"distinguish":[103],"error":[104],"offsets":[105],"random":[107],"estimate":[111],"distribution":[113],"truck":[115,132,146],"elevations":[116],"different":[118],"time":[119],"intervals.":[120],"Markov":[122],"chain":[123],"Monte":[124],"Carlo":[125],"then":[128],"applied":[129],"classify":[131],"behaviors":[133],"based":[134,152,193],"change":[137],"in":[138],"between":[140],"two":[141],"(HVMove)":[148],"constructed":[151],"map":[155],"apply":[158],"geometry":[161],"algorithm.":[168],"We":[169],"develop":[170],"extended":[172],"Metropolis\u2013Hastings":[173],"tune":[176],"parameters":[178],"HVMove":[181,217,236],"model.":[182],"proposed":[184],"verified":[187],"evaluated":[189],"through":[190],"extensive":[191],"experiments":[192],"real-world":[196],"dataset":[198],"covering":[199],"sections":[200],"expressway":[203],"national":[205],"provincial":[207],"highways.":[208],"From":[209],"experimental":[211],"results,":[212],"we":[213],"conclude":[214],"provides":[219],"sufficient":[220],"accuracy":[221],"efficiency":[223],"system":[232],"applications.":[233],"In":[234],"addition,":[235],"maps":[239],"with":[240],"marked":[244],"automatically.":[245]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}