{"id":"https://openalex.org/W2513554586","doi":"https://doi.org/10.1080/15472450.2016.1220306","title":"A statistical process control approach using cumulative sum control chart analysis for traffic data quality verification and sensor calibration for weigh-in-motion systems","display_name":"A statistical process control approach using cumulative sum control chart analysis for traffic data quality verification and sensor calibration for weigh-in-motion systems","publication_year":2016,"publication_date":"2016-08-11","ids":{"openalex":"https://openalex.org/W2513554586","doi":"https://doi.org/10.1080/15472450.2016.1220306","mag":"2513554586"},"language":"en","primary_location":{"id":"doi:10.1080/15472450.2016.1220306","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2016.1220306","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"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":"Journal of Intelligent Transportation Systems","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/A5020301939","display_name":"Indrajit Chatterjee","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Indrajit Chatterjee","raw_affiliation_strings":[",","Department of Civil Engineering, University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":",","institution_ids":[]},{"raw_affiliation_string":"Department of Civil Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019868036","display_name":"Chen-Fu Liao","orcid":"https://orcid.org/0000-0002-6532-4183"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen-Fu Liao","raw_affiliation_strings":[",","Department of Civil Engineering, University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":",","institution_ids":[]},{"raw_affiliation_string":"Department of Civil Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103397919","display_name":"Gary A. Davis","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary A. Davis","raw_affiliation_strings":[",","Department of Civil Engineering, University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":",","institution_ids":[]},{"raw_affiliation_string":"Department of Civil Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020301939"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":0.8163,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79911629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"21","issue":"2","first_page":"111","last_page":"122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14304","display_name":"Transport Systems and Technology","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.7816962003707886},{"id":"https://openalex.org/keywords/weigh-in-motion","display_name":"Weigh in motion","score":0.7229583263397217},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"Statistical process control","score":0.6997194886207581},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6698410511016846},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5221391320228577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5168957710266113},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.46953949332237244},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.45514941215515137},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42719322443008423},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.4239943325519562},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3349171578884125},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32742148637771606},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3204679489135742},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2278153896331787},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.1429782509803772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14000189304351807},{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.12159496545791626},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.08455055952072144}],"concepts":[{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.7816962003707886},{"id":"https://openalex.org/C2781010134","wikidata":"https://www.wikidata.org/wiki/Q7979849","display_name":"Weigh in motion","level":3,"score":0.7229583263397217},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.6997194886207581},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6698410511016846},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5221391320228577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5168957710266113},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.46953949332237244},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.45514941215515137},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42719322443008423},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.4239943325519562},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3349171578884125},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32742148637771606},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3204679489135742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2278153896331787},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.1429782509803772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14000189304351807},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.12159496545791626},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.08455055952072144},{"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/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/15472450.2016.1220306","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2016.1220306","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"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":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306108","display_name":"U.S. Department of Transportation","ror":"https://ror.org/02xfw2e90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W112733995","https://openalex.org/W199770924","https://openalex.org/W627258117","https://openalex.org/W650281420","https://openalex.org/W1503356566","https://openalex.org/W1533019951","https://openalex.org/W1585261948","https://openalex.org/W1663973292","https://openalex.org/W1965155137","https://openalex.org/W1968570296","https://openalex.org/W1985031629","https://openalex.org/W1998678058","https://openalex.org/W2008889836","https://openalex.org/W2012148347","https://openalex.org/W2051292288","https://openalex.org/W2051903196","https://openalex.org/W2087150748","https://openalex.org/W2088002910","https://openalex.org/W2094013156","https://openalex.org/W2103400647","https://openalex.org/W2188060102","https://openalex.org/W2253083759","https://openalex.org/W2366141733","https://openalex.org/W2516321972","https://openalex.org/W2554979051","https://openalex.org/W3027160010","https://openalex.org/W3123554940","https://openalex.org/W4252717536"],"related_works":["https://openalex.org/W2377538044","https://openalex.org/W2082481606","https://openalex.org/W2382605418","https://openalex.org/W4311856801","https://openalex.org/W3213078993","https://openalex.org/W2167786938","https://openalex.org/W3022153046","https://openalex.org/W4297991148","https://openalex.org/W1983141709","https://openalex.org/W578810983"],"abstract_inverted_index":{"Weigh-in-motion":[0],"systems":[1],"have":[2],"been":[3],"widely":[4],"used":[5],"by":[6,167,224],"state":[7,16,225],"agencies":[8],"to":[9,20,48,55,74,97,132,146,159,196],"collect":[10],"the":[11,37,99,119,152,160,165,182,187,191,201,208,212],"traffic":[12,22],"data":[13,46,166],"on":[14,69,181],"major":[15],"roadways":[17],"and":[18,27,33,60,79,114,148,173,205,231],"bridges":[19],"support":[21],"load":[23],"forecasting,":[24],"pavement":[25,64],"design":[26],"analysis,":[28],"infrastructure":[29],"investment":[30],"decision":[31],"making,":[32],"transportation":[34],"planning.":[35],"However,":[36],"weigh-in-motion":[38,76,84,153,202,233],"system":[39,213],"itself":[40],"poses":[41],"difficulties":[42],"in":[43,62,151,164,200,228],"obtaining":[44],"accurate":[45,230],"due":[47],"sensor":[49,77,203],"characteristics":[50],"that":[51,190],"can":[52,220],"be":[53,221],"sensitive":[54],"vehicle":[56,100,104,140],"speed,":[57],"weather":[58],"conditions,":[59],"changes":[61],"surrounding":[63],"conditions.":[65],"This":[66,218],"study":[67],"focuses":[68],"developing":[70],"a":[71,198],"systematic":[72],"methodology":[73,193,219],"detect":[75],"bias":[78],"enhance":[80],"current":[81],"practices":[82],"for":[83,142],"calibration.":[85,217],"A":[86],"mixture":[87],"modeling":[88],"technique":[89,124],"using":[90],"an":[91,169],"expectation":[92,133],"maximization":[93,134],"algorithm":[94],"was":[95,130,157],"developed":[96],"divide":[98],"class":[101],"9":[102],"gross":[103,139],"weight":[105,141],"into":[106],"three":[107],"normally":[108],"distributed":[109],"components:":[110],"unloaded,":[111],"partially":[112],"loaded,":[113],"fully":[115,143],"loaded":[116,144],"trucks.":[117],"Then":[118],"well-known":[120],"statistical":[121],"process":[122],"control":[123,127,178],"cumulative":[125,176],"sum":[126,177],"chart":[128,179],"analysis":[129,180,188],"applied":[131],"estimates":[135],"of":[136,162,216],"daily":[137],"mean":[138],"trucks":[145],"identify":[147],"estimate":[149,197],"shifts":[150],"sensor.":[154],"Special":[155],"attention":[156],"given":[158],"presence":[161],"autocorrelation":[163],"fitting":[168],"autoregressive":[170],"time-series":[171],"model":[172],"then":[174],"performing":[175],"fitted":[183],"residuals.":[184],"Results":[185],"from":[186],"suggest":[189],"proposed":[192],"is":[194],"able":[195],"shift":[199],"accurately":[204],"also":[206],"indicate":[207],"time":[209],"point":[210],"when":[211],"went":[214],"out":[215],"effectively":[222],"implemented":[223],"agencies,":[226],"resulting":[227],"more":[229],"reliable":[232],"data.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2025-10-10T00:00:00"}
