{"id":"https://openalex.org/W2547208782","doi":"https://doi.org/10.1145/3007540.3007545","title":"A feature-based method for traffic anomaly detection","display_name":"A feature-based method for traffic anomaly detection","publication_year":2016,"publication_date":"2016-10-31","ids":{"openalex":"https://openalex.org/W2547208782","doi":"https://doi.org/10.1145/3007540.3007545","mag":"2547208782"},"language":"en","primary_location":{"id":"doi:10.1145/3007540.3007545","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3007540.3007545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics","raw_type":"proceedings-article"},"type":"article","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/A5101775798","display_name":"Youcheng Wang","orcid":"https://orcid.org/0000-0001-8199-0373"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youcheng Wang","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031166307","display_name":"Jian Xu","orcid":"https://orcid.org/0000-0002-0583-5512"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Xu","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041210918","display_name":"Ming Xu","orcid":"https://orcid.org/0000-0001-9332-5258"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Xu","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047378832","display_name":"Ning Zheng","orcid":"https://orcid.org/0000-0003-3503-8167"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Zheng","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083296833","display_name":"Jinsheng Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsheng Jiang","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049294198","display_name":"Kaiwei Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiwei Kong","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8833,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.84825406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/anomaly-detection","display_name":"Anomaly detection","score":0.7327388525009155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7270710468292236},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6754195094108582},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6245965957641602},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5813803672790527},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.519864559173584},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5175096988677979},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.500870943069458},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.49152979254722595},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4280804693698883},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42154625058174133},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4204162359237671},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3759579360485077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3516541123390198},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1585652232170105},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1449689269065857},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08956769108772278},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07780033349990845},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06922486424446106}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7327388525009155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7270710468292236},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6754195094108582},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6245965957641602},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5813803672790527},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.519864559173584},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5175096988677979},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.500870943069458},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.49152979254722595},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4280804693698883},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42154625058174133},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4204162359237671},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3759579360485077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3516541123390198},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1585652232170105},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1449689269065857},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08956769108772278},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07780033349990845},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06922486424446106},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3007540.3007545","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3007540.3007545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1586775974","https://openalex.org/W1968701380","https://openalex.org/W1976993400","https://openalex.org/W1999110238","https://openalex.org/W1999432478","https://openalex.org/W2007159514","https://openalex.org/W2031674781","https://openalex.org/W2033626772","https://openalex.org/W2064125918","https://openalex.org/W2093855404","https://openalex.org/W2112526520","https://openalex.org/W2116135393","https://openalex.org/W2117618130","https://openalex.org/W2136975357","https://openalex.org/W2151132629","https://openalex.org/W2153458569","https://openalex.org/W2166771065","https://openalex.org/W2172041433"],"related_works":["https://openalex.org/W2391956340","https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2143820878","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037"],"abstract_inverted_index":{"The":[0,178],"wide":[1],"spread":[2],"use":[3],"of":[4,13,46,87,182],"GPS-enabled":[5],"devices":[6],"facilitates":[7],"us":[8],"to":[9,36,76,173,202],"sense":[10],"the":[11,100,118,139,150,158,194,213],"movement":[12,17],"vehicles.":[14],"Detecting":[15],"anomalous":[16],"behavior":[18],"on":[19,103,157],"road":[20,68,105,119,151],"segments":[21],"can":[22],"benefit":[23],"both":[24],"drivers":[25],"and":[26,41,96,130,162,180],"transportation":[27],"authorities.":[28],"An":[29],"important":[30],"challenge":[31],"behind":[32],"this":[33,51,108,198],"is":[34,66,185,200],"how":[35],"detect":[37,203],"these":[38,71],"anomalies":[39,205],"effectively":[40],"timely":[42],"under":[43],"large":[44],"scale":[45],"raw":[47,113],"GPS":[48],"trajectories.":[49,114],"In":[50,107],"light,":[52],"we":[53,110,116,144],"propose":[54],"a":[55,84,91,104],"Feature-Based":[56],"method":[57,195],"for":[58,136],"Traffic":[59],"Anomaly":[60],"Detection":[61],"(FBTAD).":[62],"A":[63],"key":[64],"observation":[65],"that":[67,193],"segments,":[69],"where":[70],"incidents":[72],"turns":[73],"up,":[74],"tend":[75],"have":[77],"their":[78],"vehicle":[79],"flow":[80,154],"features":[81,122],"changed":[82],"in":[83,123,197],"short":[85],"period":[86],"time.":[88],"For":[89],"example,":[90],"traffic":[92,121,153,176,204],"accident":[93],"may":[94],"immediately":[95],"significantly":[97],"slow":[98],"down":[99],"travel":[101],"speed":[102],"segment.":[106],"paper,":[109],"first":[111],"map-match":[112],"Then":[115],"calculate":[117],"segments'":[120],"each":[124],"time":[125],"slot,":[126],"e.g.,":[127],"10":[128],"minutes,":[129],"introduce":[131],"an":[132],"offline":[133],"spatial-temporal":[134],"index":[135,159],"speeding":[137],"up":[138],"anomaly":[140,146],"detection":[141],"process.":[142],"Finally,":[143],"retrieve":[145],"candidates":[147],"by":[148,187],"checking":[149],"segment's":[152],"acceleration":[155],"based":[156],"built":[160],"above,":[161],"examine":[163],"candidates'":[164],"density":[165],"change":[166],"ratio":[167,172],"or":[168],"moving":[169],"objects'":[170],"outflow":[171],"further":[174],"infer":[175],"anomalies.":[177],"effectiveness":[179],"efficiency":[181],"our":[183],"approach":[184],"validated":[186],"extensive":[188],"experimentation.":[189],"Our":[190],"evaluations":[191],"show":[192],"proposed":[196],"paper":[199],"able":[201],"more":[206],"efficiently":[207],"as":[208,210],"well":[209],"earlier":[211],"than":[212],"baseline":[214],"method.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
