{"id":"https://openalex.org/W4293415086","doi":"https://doi.org/10.3390/a15090307","title":"Traffic Demand Estimations Considering Route Trajectory Reconstruction in Congested Networks","display_name":"Traffic Demand Estimations Considering Route Trajectory Reconstruction in Congested Networks","publication_year":2022,"publication_date":"2022-08-28","ids":{"openalex":"https://openalex.org/W4293415086","doi":"https://doi.org/10.3390/a15090307"},"language":"en","primary_location":{"id":"doi:10.3390/a15090307","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15090307","pdf_url":"https://www.mdpi.com/1999-4893/15/9/307/pdf?version=1663729113","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/15/9/307/pdf?version=1663729113","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071802190","display_name":"Wenyun Tang","orcid":"https://orcid.org/0000-0002-2552-7963"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyun Tang","raw_affiliation_strings":["College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China"],"affiliations":[{"raw_affiliation_string":"College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390338","display_name":"Jiahui Chen","orcid":"https://orcid.org/0000-0003-2259-9897"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Chen","raw_affiliation_strings":["College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China"],"affiliations":[{"raw_affiliation_string":"College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051347413","display_name":"Chao Sun","orcid":"https://orcid.org/0000-0002-1543-5790"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Sun","raw_affiliation_strings":["School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100567160","display_name":"Wang Hanbing","orcid":null},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanbing Wang","raw_affiliation_strings":["College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China"],"affiliations":[{"raw_affiliation_string":"College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100785865","display_name":"Gen Li","orcid":"https://orcid.org/0000-0001-5535-6467"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gen Li","raw_affiliation_strings":["College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China"],"affiliations":[{"raw_affiliation_string":"College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051347413"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.6667,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74743576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"15","issue":"9","first_page":"307","last_page":"307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998000264167786,"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":0.9998000264167786,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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/T10524","display_name":"Traffic control and management","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7004405856132507},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.669068455696106},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6307697296142578},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5819790959358215},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5804042816162109},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5718023180961609},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5597857236862183},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.527495265007019},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.4858402907848358},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4695107638835907},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4683273136615753},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32532525062561035},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.2696513533592224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21088308095932007},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2013939917087555},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19126588106155396},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13929995894432068},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0931672751903534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7004405856132507},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.669068455696106},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6307697296142578},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5819790959358215},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5804042816162109},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5718023180961609},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5597857236862183},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.527495265007019},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.4858402907848358},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4695107638835907},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4683273136615753},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32532525062561035},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2696513533592224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21088308095932007},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2013939917087555},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19126588106155396},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13929995894432068},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0931672751903534},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a15090307","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15090307","pdf_url":"https://www.mdpi.com/1999-4893/15/9/307/pdf?version=1663729113","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:456112b137aa4428a833285d2a35666f","is_oa":true,"landing_page_url":"https://doaj.org/article/456112b137aa4428a833285d2a35666f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 15, Iss 9, p 307 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/15/9/307/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a15090307","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms; Volume 15; Issue 9; Pages: 307","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a15090307","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15090307","pdf_url":"https://www.mdpi.com/1999-4893/15/9/307/pdf?version=1663729113","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293415086.pdf","grobid_xml":"https://content.openalex.org/works/W4293415086.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1850980617","https://openalex.org/W1989522934","https://openalex.org/W1996212582","https://openalex.org/W2003598689","https://openalex.org/W2025565923","https://openalex.org/W2049633694","https://openalex.org/W2079315479","https://openalex.org/W2090286706","https://openalex.org/W2090665379","https://openalex.org/W2158413645","https://openalex.org/W2289643895","https://openalex.org/W2318143237","https://openalex.org/W2333069695","https://openalex.org/W2609245017","https://openalex.org/W2736862817","https://openalex.org/W2766236388","https://openalex.org/W2954619438","https://openalex.org/W2994743335","https://openalex.org/W3120539073","https://openalex.org/W3129983003","https://openalex.org/W3192829935","https://openalex.org/W4233503150","https://openalex.org/W4248936881","https://openalex.org/W4361867601","https://openalex.org/W6656782734"],"related_works":["https://openalex.org/W2149721642","https://openalex.org/W4390987329","https://openalex.org/W2972320057","https://openalex.org/W2587362999","https://openalex.org/W4386289889","https://openalex.org/W2009112536","https://openalex.org/W1977405947","https://openalex.org/W1977153226","https://openalex.org/W2047739511","https://openalex.org/W4361199786"],"abstract_inverted_index":{"Traffic":[0,119],"parameter":[1],"characteristics":[2],"in":[3,63,127,152],"congested":[4,64,77,153],"road":[5,150],"networks":[6,154],"are":[7,17,79,88,155],"explored":[8],"based":[9,33],"on":[10,34],"traffic":[11,53,70,86,107,147,164,170],"flow":[12],"theory,":[13],"and":[14,43,131,149,157,172],"observed":[15,128],"variables":[16],"transformed":[18],"to":[19,29,90,116,168],"a":[20,47,51,76,158],"uniform":[21],"format.":[22],"The":[23,142],"Gaussian":[24,96],"mixture":[25,97],"model":[26,56],"is":[27,166],"used":[28],"reconstruct":[30],"route":[31,60],"trajectories":[32],"data":[35,129],"regarding":[36],"travel":[37],"routes":[38],"containing":[39],"only":[40],"the":[41,91,95,103,106,132],"origin":[42],"destination":[44],"information.":[45],"Using":[46,94],"bi-level":[48],"optimization":[49],"framework,":[50],"Bayesian":[52],"demand":[54,71,108,120],"estimation":[55,72,83,121],"was":[57],"built":[58],"using":[59],"trajectory":[61,101],"reconstruction":[62],"networks.":[65],"Numerical":[66],"examples":[67],"demonstrate":[68],"that":[69],"errors,":[73],"without":[74],"considering":[75,85],"network,":[78],"within":[80],"\u00b112;":[81],"whereas":[82],"demands":[84,148],"congestion":[87,165],"close":[89],"real":[92],"values.":[93],"model\u2019s":[98],"technology":[99],"of":[100,105,145],"reconstruction,":[102],"mean":[104,110],"root":[109],"square":[111],"error":[112],"can":[113,136],"be":[114],"stabilized":[115],"approximately":[117],"1.3.":[118],"accuracy":[122],"decreases":[123],"with":[124,139],"an":[125],"increase":[126],"usage,":[130],"designed":[133],"iterative":[134],"algorithm":[135],"predict":[137],"convergence":[138],"0.06":[140],"accuracy.":[141],"evolution":[143],"rules":[144],"urban":[146,163],"flows":[151],"uncovered,":[156],"theoretical":[159],"basis":[160],"for":[161],"alleviating":[162],"provided":[167],"determine":[169],"management":[171],"control":[173],"strategies.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}