{"id":"https://openalex.org/W2116462276","doi":"https://doi.org/10.3141/2430-12","title":"Validation of Origin\u2013Destination Data from Bluetooth Reidentification and Aerial Observation","display_name":"Validation of Origin\u2013Destination Data from Bluetooth Reidentification and Aerial Observation","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2116462276","doi":"https://doi.org/10.3141/2430-12","mag":"2116462276"},"language":"en","primary_location":{"id":"doi:10.3141/2430-12","doi":"https://doi.org/10.3141/2430-12","is_oa":false,"landing_page_url":"https://doi.org/10.3141/2430-12","pdf_url":null,"source":{"id":"https://openalex.org/S145575934","display_name":"Transportation Research Record Journal of the Transportation Research Board","issn_l":"0361-1981","issn":["0361-1981","2169-4052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-scientific","cwts-core","dongbi-b","jufo-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transportation Research Record: Journal of the Transportation Research Board","raw_type":"journal-article"},"volume":null,"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/A5072948963","display_name":"Madhav Chitturi","orcid":"https://orcid.org/0000-0003-0580-3454","observed_orcids":["https://orcid.org/0000-0003-0580-3454"]},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Madhav V. Chitturi","raw_affiliation_strings":["Room B243, Traffic Operations and Safety Laboratory, University of Wisconsin\u2013Madison, Engineering Hall, 1415 Engineering Drive, Madison, WI 53706"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Room B243, Traffic Operations and Safety Laboratory, University of Wisconsin\u2013Madison, Engineering Hall, 1415 Engineering Drive, Madison, WI 53706","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008355235","display_name":"John Shaw","orcid":"https://orcid.org/0000-0002-4631-6065","observed_orcids":["https://orcid.org/0000-0002-4631-6065"]},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John W. Shaw","raw_affiliation_strings":["Room B243, Traffic Operations and Safety Laboratory, University of Wisconsin\u2013Madison, Engineering Hall, 1415 Engineering Drive, Madison, WI 53706"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Room B243, Traffic Operations and Safety Laboratory, University of Wisconsin\u2013Madison, Engineering Hall, 1415 Engineering Drive, Madison, WI 53706","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102480331","display_name":"John R. Campbell","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John R. Campbell","raw_affiliation_strings":["Traffic Analysis and Design, Inc., N36 W7505 Buchanan Court, Cedarburg, WI 53012"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Traffic Analysis and Design, Inc., N36 W7505 Buchanan Court, Cedarburg, WI 53012","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026601861","display_name":"David A. Noyce","orcid":"https://orcid.org/0000-0001-5887-8391","observed_orcids":["https://orcid.org/0000-0001-5887-8391"]},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David A. Noyce","raw_affiliation_strings":["Room 1204, Traffic Operations and Safety Laboratory, University of Wisconsin\u2013Madison, Engineering Hall, 1415 Engineering Drive, Madison, WI 53706"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Room 1204, Traffic Operations and Safety Laboratory, University of Wisconsin\u2013Madison, Engineering Hall, 1415 Engineering Drive, Madison, WI 53706","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072948963"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":{"value":3650,"currency":"USD","value_usd":3650},"apc_paid":null,"fwci":4.0089,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.93338125,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2430","issue":"1","first_page":"116","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.37599998712539673,"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"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.37599998712539673,"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/T10524","display_name":"Traffic control and management","score":0.20430000126361847,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.1527000069618225,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/origin-destination-data","display_name":"origin-destination data","score":0.7639999985694885},{"id":"https://openalex.org/keywords/vehicle-tracking","display_name":"vehicle tracking","score":0.6539999842643738},{"id":"https://openalex.org/keywords/data-validation","display_name":"data validation","score":0.8100000023841858},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"traffic flow","score":0.6159999966621399},{"id":"https://openalex.org/keywords/traffic-assignment","display_name":"traffic assignment","score":0.35199999809265137}],"concepts":[{"id":"https://openalex.org/C546215728","wikidata":"https://www.wikidata.org/wiki/Q39531","display_name":"Bluetooth","level":3,"score":0.9285752177238464},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.547319233417511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5074180960655212},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.48234814405441284},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.41577979922294617},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3644424080848694},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3499506711959839},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3078087270259857},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23040834069252014},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20324179530143738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1439940631389618},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3141/2430-12","doi":"https://doi.org/10.3141/2430-12","is_oa":false,"landing_page_url":"https://doi.org/10.3141/2430-12","pdf_url":null,"source":{"id":"https://openalex.org/S145575934","display_name":"Transportation Research Record Journal of the Transportation Research Board","issn_l":"0361-1981","issn":["0361-1981","2169-4052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-scientific","cwts-core","dongbi-b","jufo-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transportation Research Record: Journal of the Transportation Research Board","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.895.9050","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.895.9050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://docs.trb.org/prp/14-0223.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.761900007724762},{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4943999946117401}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W61548216","https://openalex.org/W286690788","https://openalex.org/W308787633","https://openalex.org/W571492335","https://openalex.org/W623623192","https://openalex.org/W648206913","https://openalex.org/W1508907151","https://openalex.org/W2011441107","https://openalex.org/W2168526242"],"related_works":["https://openalex.org/W2529694277","https://openalex.org/W110584010","https://openalex.org/W2179928756","https://openalex.org/W7216790159","https://openalex.org/W2011441107","https://openalex.org/W2168526242","https://openalex.org/W2481807173","https://openalex.org/W7110635900","https://openalex.org/W2791789830","https://openalex.org/W286690788"],"abstract_inverted_index":{"Vehicle":[0],"reidentification":[1],"with":[2,211],"Bluetooth":[3,94,129,166,188],"signal":[4],"data":[5,17,75,167,208],"has":[6,46],"emerged":[7],"as":[8],"an":[9,78,199,212],"effective":[10],"and":[11,72,215],"economical":[12],"means":[13],"for":[14,25,41,99,202,251],"collecting":[15],"traffic":[16,119],"including":[18],"origin\u2013destination":[19],"(O-D)":[20],"information,":[21],"which":[22,107,233],"is":[23,37,248],"crucial":[24],"transportation":[26],"planning.":[27],"Direct":[28],"vehicle":[29],"tracking":[30],"based":[31],"on":[32],"time-lapse":[33],"aerial":[34],"photography":[35],"(TLAP)":[36],"also":[38,249],"increasingly":[39],"used":[40,84,192],"O-D":[42,74,102,130,196,207,223],"studies.":[43],"Neither":[44],"technique":[45],"previously":[47],"been":[48],"validated,":[49],"so":[50],"the":[51,100,105,116,127,132,141,156,177,221,236],"objective":[52],"of":[53,104,115,126,155,179,198,235],"this":[54,86],"study":[55],"was":[56,97],"to":[57,91,140,193,220],"validate":[58],"O-Ds":[59],"generated":[60],"by":[61,110],"using":[62,111],"both":[63],"techniques":[64],"against":[65],"a":[66,112,159,173,180,229,239],"ground-truth":[67],"O-D.":[68],"Traffic":[69],"volume\u2013,":[70],"Bluetooth-,":[71],"TLAP-based":[73],"collected":[76],"at":[77],"interchange":[79],"in":[80,85,93,137,152,172,217,228,232],"Madison,":[81],"Wisconsin,":[82],"were":[83,108,209],"study.":[87],"Significant":[88],"variability":[89],"(2.3%":[90],"7.2%)":[92],"match":[95],"rates":[96],"observed":[98],"12":[101],"pairs":[103],"interchange,":[106],"calculated":[109],"heuristic":[113],"measure":[114],"difference":[117],"between":[118],"volumes":[120],"(the":[121],"GEH":[122,160,240],"formula).":[123],"Uniproportional":[124],"scaling":[125],"sample":[128,206],"(using":[131],"average":[133],"detection":[134],"rate)":[135],"resulted":[136,151,171,216,227],"poor":[138],"fit":[139,175,219,231],"true":[142,222],"O-D,":[143],"but":[144],"biproportional":[145,246],"factoring":[146,226,247],"(Fratar":[147],"or":[148],"Furness":[149],"procedure)":[150],"about":[153],"85%":[154],"movements\u2019":[157],"having":[158],"statistic":[161],"less":[162,242],"than":[163,176,243],"5.":[164,244],"Combining":[165],"from":[168],"multiple":[169],"days":[170],"better":[174,230],"use":[178],"single":[181],"day's":[182],"data.":[183,224,253],"The":[184],"analysis":[185],"showed":[186],"that":[187],"technology":[189],"could":[190],"be":[191],"obtain":[194],"representative":[195],"information":[197],"access-controlled":[200],"network":[201],"planning":[203],"applications.":[204],"TLAP":[205,252],"scaled":[210],"origin-specific":[213],"factor":[214],"reasonable":[218],"Biproportional":[225],"100%":[234],"movements":[237],"had":[238],"value":[241],"Therefore,":[245],"recommended":[250]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2026-10-02T10:15:12.560889","created_date":"2016-06-24T00:00:00"}
