{"id":"https://openalex.org/W2057717789","doi":"https://doi.org/10.1080/10248070108903698","title":"ACCURACY OF SPEED MEASUREMENTS FROM CELLULAR PHONE VEHICLE LOCATION SYSTEMS","display_name":"ACCURACY OF SPEED MEASUREMENTS FROM CELLULAR PHONE VEHICLE LOCATION SYSTEMS","publication_year":2001,"publication_date":"2001-10-01","ids":{"openalex":"https://openalex.org/W2057717789","doi":"https://doi.org/10.1080/10248070108903698","mag":"2057717789"},"language":"en","primary_location":{"id":"doi:10.1080/10248070108903698","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10248070108903698","pdf_url":null,"source":{"id":"https://openalex.org/S136111043","display_name":"ITS Journal - Intelligent Transportation Systems Journal","issn_l":"1024-8072","issn":["1024-8072","1027-751X","1563-5082"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ITS Journal - Intelligent Transportation Systems Journal","raw_type":"journal-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/A5018083949","display_name":"David J. Lovell","orcid":"https://orcid.org/0000-0001-8480-1910"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David J. Lovell","raw_affiliation_strings":["Department of Civil and Environmental Engineering and Institute for Systems Research , University of Maryland , College Park, Maryland"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering and Institute for Systems Research , University of Maryland , College Park, Maryland","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018083949"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":3.8203,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.91985744,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"6","issue":"4","first_page":"303","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9883000254631042,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9883000254631042,"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"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9825999736785889,"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/T12146","display_name":"Power Line Communications and Noise","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/hyperbola","display_name":"Hyperbola","score":0.7680624723434448},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5944574475288391},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.5658004283905029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5494670867919922},{"id":"https://openalex.org/keywords/angle-of-arrival","display_name":"Angle of arrival","score":0.5421887040138245},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5015764236450195},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4743172824382782},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4252665042877197},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41629672050476074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3558048605918884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.258930504322052},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12985765933990479},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08019670844078064},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07091251015663147}],"concepts":[{"id":"https://openalex.org/C145050668","wikidata":"https://www.wikidata.org/wiki/Q165301","display_name":"Hyperbola","level":2,"score":0.7680624723434448},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5944574475288391},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.5658004283905029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5494670867919922},{"id":"https://openalex.org/C13545353","wikidata":"https://www.wikidata.org/wiki/Q4763363","display_name":"Angle of arrival","level":3,"score":0.5421887040138245},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5015764236450195},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4743172824382782},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4252665042877197},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41629672050476074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3558048605918884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.258930504322052},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12985765933990479},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08019670844078064},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07091251015663147},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10248070108903698","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10248070108903698","pdf_url":null,"source":{"id":"https://openalex.org/S136111043","display_name":"ITS Journal - Intelligent Transportation Systems Journal","issn_l":"1024-8072","issn":["1024-8072","1027-751X","1563-5082"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ITS Journal - Intelligent Transportation Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W636799008","https://openalex.org/W1607577681","https://openalex.org/W1952679080","https://openalex.org/W2051975038","https://openalex.org/W2103420863","https://openalex.org/W2406624004","https://openalex.org/W2831456268"],"related_works":["https://openalex.org/W1952501805","https://openalex.org/W2895241666","https://openalex.org/W2377795586","https://openalex.org/W2803739483","https://openalex.org/W3022534700","https://openalex.org/W2377427120","https://openalex.org/W2390599813","https://openalex.org/W4289204363","https://openalex.org/W2357624386","https://openalex.org/W242757500"],"abstract_inverted_index":{"This":[0],"paper":[1],"uses":[2],"simulation":[3],"methods":[4],"to":[5,30,43],"investigate":[6],"the":[7,95,135],"accuracy":[8,47],"of":[9,17,46,62,80,94,134,137],"vehicle":[10,64,83],"speed":[11],"measurements":[12,24],"derived":[13],"from":[14],"anonymous":[15],"tracking":[16],"cellular":[18],"phone":[19],"calls.":[20],"In":[21],"particular,":[22],"these":[23,123],"are":[25,39],"tested":[26],"for":[27,52,129],"their":[28],"sensitivity":[29],"positioning":[31],"algorithm":[32],"(an":[33],"angle-angle":[34],"and":[35,66,106,112,116,121],"an":[36],"angle-hyperbola":[37],"system":[38,76],"tested,":[40],"both":[41],"engineered":[42],"a":[44,74,92,126,130],"level":[45],"consistent":[48],"with":[49],"FCC":[50],"requirements":[51],"Extended-911":[53],"use),":[54],"angle-of-arrival":[55],"accuracy,":[56,58],"time-difference-of-arrival":[57],"sample":[59],"size,":[60],"variance":[61],"true":[63],"speeds,":[65],"sampling":[67],"distance.":[68],"The":[69],"results":[70,124],"suggest":[71],"that":[72],"such":[73,102,138],"surveillance":[75],"would":[77],"be":[78,118],"capable":[79],"stratifying":[81],"observed":[82],"speeds":[84],"(and":[85],"congestion":[86],"levels,":[87],"insofar":[88],"as":[89,103],"one":[90],"is":[91],"predictor":[93],"other)":[96],"into":[97],"at":[98],"least":[99],"three":[100],"categories,":[101],"low,":[104],"medium,":[105],"high.":[107],"While":[108],"many":[109],"other":[110],"parameters":[111],"error":[113],"sources":[114],"can":[115],"should":[117],"investigated,":[119],"individually":[120],"jointly,":[122],"provide":[125],"qualitative":[127],"foundation":[128],"more":[131],"thorough":[132],"investigation":[133],"efficacy":[136],"systems.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
