{"id":"https://openalex.org/W829999331","doi":null,"title":"Determination of Network Origin-Destination Matrices Using Partial Link Traffic Counts and Virtual Sensor Information in an Integrated Corridor Management Framework","display_name":"Determination of Network Origin-Destination Matrices Using Partial Link Traffic Counts and Virtual Sensor Information in an Integrated Corridor Management Framework","publication_year":2014,"publication_date":"2014-04-07","ids":{"openalex":"https://openalex.org/W829999331","mag":"829999331"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.686.5692","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.686.5692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.purdue.edu/discoverypark/nextrans/assets/pdfs/056PY03-Final+Report.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5056454809","display_name":"Shou-Ren Hu","orcid":"https://orcid.org/0000-0003-1824-0355","observed_orcids":["https://orcid.org/0000-0003-1824-0355"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shou-Ren Hu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1824-0355","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042116992","display_name":"Han-Tsung Liou","orcid":"https://orcid.org/0000-0001-5482-7300","observed_orcids":["https://orcid.org/0000-0001-5482-7300"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han-Tsung Liou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018966930","display_name":"Srinivas Peeta","orcid":"https://orcid.org/0000-0002-4146-6793","observed_orcids":["https://orcid.org/0000-0002-4146-6793"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Srinivas Peeta","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4146-6793","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100680444","display_name":"Zheng Hong","orcid":"https://orcid.org/0000-0002-2890-2642","observed_orcids":["https://orcid.org/0000-0002-2890-2642"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng Hong","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2890-2642","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.6830999851226807,"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":0.6830999851226807,"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":0.21580000221729279,"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":0.0632999986410141,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/origin-destination-matrix-estimation","display_name":"origin-destination matrix estimation","score":0.8769999742507935},{"id":"https://openalex.org/keywords/soft-sensors","display_name":"soft sensors","score":0.6869999766349792},{"id":"https://openalex.org/keywords/integrated-corridor-management","display_name":"integrated corridor management","score":0.8989999890327454},{"id":"https://openalex.org/keywords/sensor-deployment-optimization","display_name":"sensor deployment optimization","score":0.7639999985694885},{"id":"https://openalex.org/keywords/traffic-data-collection","display_name":"traffic data collection","score":0.4620000123977661},{"id":"https://openalex.org/keywords/route-choice","display_name":"route choice","score":0.5320000052452087}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7314390540122986},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.6417905688285828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5995645523071289},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5457515120506287},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.521234393119812},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45718926191329956},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.40557289123535156},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.37885984778404236},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33730053901672363},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2720489203929901},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.22234028577804565},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19431999325752258},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1181054413318634},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.686.5692","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.686.5692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.purdue.edu/discoverypark/nextrans/assets/pdfs/056PY03-Final+Report.pdf","raw_type":"text"},{"id":"mag:829999331","doi":null,"is_oa":false,"landing_page_url":"https://rosap.ntl.bts.gov/view/dot/20387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.651199996471405,"id":"https://metadata.un.org/sdg/9"},{"display_name":"Sustainable cities and communities","score":0.5142999887466431,"id":"https://metadata.un.org/sdg/11"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1989740797","https://openalex.org/W2012003439"],"related_works":["https://openalex.org/W2044128787","https://openalex.org/W658226705","https://openalex.org/W2101443760","https://openalex.org/W2293638337","https://openalex.org/W2335408842","https://openalex.org/W2741877759","https://openalex.org/W3214985079","https://openalex.org/W7020464990","https://openalex.org/W2119750022","https://openalex.org/W2115153093"],"abstract_inverted_index":{"The":[0,28,62,83,103],"performance":[1],"of":[2,18,25,30,43,59,86,105,123,127,141],"a":[3,80,96],"network":[4,91,101,119,155],"origin-destination":[5],"(O-D)":[6],"demand":[7,93,145,157],"estimation":[8,94,161],"model":[9,116,130],"is":[10,36,95,108,132],"strongly":[11],"dependent":[12],"on":[13],"the":[14,31,39,55,124,128,138,154],"quantity":[15],"and":[16,47,66,158],"quality":[17],"traffic":[19,26,45,88],"data":[20,69],"collected":[21,63],"by":[22],"different":[23],"types":[24],"sensors.":[27],"purpose":[29,104],"Network":[32],"Sensor":[33],"Location":[34],"Problem":[35],"to":[37,74,109,117,163],"determine":[38],"optimal,":[40],"minimum":[41],"number":[42],"required":[44],"sensors":[46,89],"identify":[48],"their":[49],"corresponding":[50,76],"installation":[51],"locations,":[52],"especially":[53],"under":[54],"limited":[56],"budget":[57],"constraints":[58],"highway":[60],"agencies.":[61],"partial":[64],"link":[65],"path":[67,159],"flow":[68,160],"are":[70],"crucial":[71],"inputs":[72],"used":[73],"estimate":[75,118],"O-D":[77,92,120,144,156],"demands":[78],"in":[79,99],"vehicular":[81],"network.":[82],"strategic":[84],"deployment":[85,115],"heterogeneous":[87,113],"for":[90],"critical":[97],"subject":[98],"transportation":[100],"science.":[102],"this":[106],"study":[107],"develop":[110],"an":[111],"integrated":[112],"sensor":[114],"demands.":[121],"One":[122],"unique":[125],"aspects":[126],"proposed":[129],"framework":[131],"that":[133],"it":[134],"does":[135],"not":[136],"require":[137],"unreasonable":[139],"assumption":[140],"known":[142],"prior":[143],"information,":[146],"turning":[147],"proportions,":[148],"or":[149],"route":[150],"choice":[151],"probabilities,":[152],"enabling":[153],"problems":[162],"be":[164],"more":[165],"practically":[166],"traceable.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-13T10:08:12.033832","created_date":"2016-06-24T00:00:00"}