{"id":"https://openalex.org/W1967182764","doi":"https://doi.org/10.1109/itsc.2011.6083079","title":"Driving behavior inference from traffic surveillance data","display_name":"Driving behavior inference from traffic surveillance data","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W1967182764","doi":"https://doi.org/10.1109/itsc.2011.6083079","mag":"1967182764"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2011.6083079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2011.6083079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","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/A5009856292","display_name":"Kai Zhou","orcid":"https://orcid.org/0000-0003-2201-6065"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Kai Zhou","raw_affiliation_strings":["Automation and Control Institute, Vienna University of Technology, Vienna, Austria","Automation and Control Institute, Vienna University of Technology, Gu\u00dfhausstra\u00dfe 27-29, A-1040 Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Automation and Control Institute, Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Automation and Control Institute, Vienna University of Technology, Gu\u00dfhausstra\u00dfe 27-29, A-1040 Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030489357","display_name":"Karthik Mahesh Varadarajan","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Karthik Mahesh Varadarajan","raw_affiliation_strings":["Automation and Control Institute, Vienna University of Technology, Vienna, Austria","Automation and Control Institute, Vienna University of Technology, Gu\u00dfhausstra\u00dfe 27-29, A-1040 Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Automation and Control Institute, Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Automation and Control Institute, Vienna University of Technology, Gu\u00dfhausstra\u00dfe 27-29, A-1040 Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013565399","display_name":"Markus Vincze","orcid":"https://orcid.org/0000-0002-2799-491X"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Markus Vincze","raw_affiliation_strings":["Automation and Control Institute, Vienna University of Technology, Vienna, Austria","Automation and Control Institute, Vienna University of Technology, Gu\u00dfhausstra\u00dfe 27-29, A-1040 Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Automation and Control Institute, Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Automation and Control Institute, Vienna University of Technology, Gu\u00dfhausstra\u00dfe 27-29, A-1040 Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115589611","display_name":"Fuqiang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuqiang Liu","raw_affiliation_strings":["School of Electronics and Information Engineering, Tongji University, Shanghai, China","School of Electronics and Information Engineering, Tongji University, Jiading Campus, 4800 Cao'an Road, 201804, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Tongji University, Jiading Campus, 4800 Cao'an Road, 201804, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009856292"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.2576,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54092144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"600","last_page":"605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.730043888092041},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.6242872476577759},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6066638827323914},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5514529347419739},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.48448917269706726},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4713035821914673},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41863563656806946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37585973739624023},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33487486839294434},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.19155356287956238},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1555967628955841}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.730043888092041},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.6242872476577759},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6066638827323914},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5514529347419739},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.48448917269706726},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4713035821914673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41863563656806946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37585973739624023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33487486839294434},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.19155356287956238},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1555967628955841}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2011.6083079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2011.6083079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W48775299","https://openalex.org/W2011336129","https://openalex.org/W2054364808","https://openalex.org/W2086461263","https://openalex.org/W2099695159","https://openalex.org/W2100342595","https://openalex.org/W2102427257","https://openalex.org/W2105834663","https://openalex.org/W2115340290","https://openalex.org/W2122679244","https://openalex.org/W2127842962","https://openalex.org/W2130701237","https://openalex.org/W2130999854","https://openalex.org/W2132461991","https://openalex.org/W2133235827","https://openalex.org/W2146638968","https://openalex.org/W2181646100","https://openalex.org/W4250212474","https://openalex.org/W4285719527","https://openalex.org/W6601933634","https://openalex.org/W6685600660"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W2097963413","https://openalex.org/W3145575561","https://openalex.org/W2001275470","https://openalex.org/W2073996508","https://openalex.org/W1591475660","https://openalex.org/W2164162849"],"abstract_inverted_index":{"Autonomous":[0],"extraction":[1],"of":[2,19,76,93,104,115,153,162,172,183,191,222],"information":[3,34,168],"from":[4,35,70],"traffic":[5,36,163,212],"video":[6,37],"surveillance":[7,148,193,208],"has":[8],"received":[9],"widespread":[10],"attention":[11],"in":[12,219],"recent":[13],"years":[14],"due":[15],"to":[16,62,88,135],"the":[17,49,63,90,94,101,132,192,196],"capability":[18],"analyzing":[20],"massive":[21],"data":[22,194],"persistently.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"present":[28],"a":[29,40,160],"system":[30,143],"for":[31,42,112,150,159,180,210],"extracting":[32],"vehicle":[33,174],"sequence":[38],"build":[39],"framework":[41,201],"defining":[43],"driver":[44,77,154,170],"behavior":[45,78,155,171],"models.":[46,165],"We":[47,83,126],"detect":[48,136],"sedans":[50],"and":[51,59,65,81,99,123,139,156,177],"split":[52],"them":[53],"into":[54],"two":[55,71,74,86,106],"categories":[56,72],"-":[57,79],"taxi":[58],"otherwise,":[60],"according":[61],"color":[64],"size.":[66],"The":[67,142,199],"labeled":[68],"cars":[69],"form":[73],"exemplars":[75,87],"professional":[80,140],"standard.":[82],"use":[84],"these":[85,105],"compute":[89],"unknown":[91],"parameters":[92],"Hidden":[95],"Markov":[96],"Model":[97],"(HMM)":[98],"demonstrate":[100,128],"quantitative":[102],"discrimination":[103],"categories,":[107],"which":[108,130],"can":[109,185,202],"be":[110,186,204],"used":[111],"many":[113],"applications":[114,129],"intelligent":[116],"transportation":[117,124],"system,":[118],"such":[119],"as":[120,214,216],"abnormality":[121],"detection":[122,152],"planning.":[125],"also":[127],"utilize":[131],"proposed":[133,197,200],"model":[134],"aggressive":[137],"drivers":[138],"drivers.":[141],"is":[144],"extensible":[145],"with":[146,206],"large":[147],"databases":[149],"automated":[151,207],"states":[157],"in-situ":[158],"variety":[161],"event":[164],"Furthermore,":[166],"statistical":[167],"on":[169],"different":[173],"types,":[175],"demographics":[176],"time":[178],"periods":[179],"various":[181],"locations":[182],"interest":[184],"obtained":[187],"by":[188],"off-line":[189],"processing":[190],"using":[195],"model.":[198],"further":[203],"integrated":[205],"systems":[209],"guiding":[211],"controllers":[213],"well":[215],"city":[217],"planners":[218],"better":[220],"management":[221],"traffic.":[223]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
