{"id":"https://openalex.org/W2791504510","doi":"https://doi.org/10.1109/itsc.2017.8317626","title":"Fast identification of critical roads by neural networks using system optimum assignment information","display_name":"Fast identification of critical roads by neural networks using system optimum assignment information","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2791504510","doi":"https://doi.org/10.1109/itsc.2017.8317626","mag":"2791504510"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2017.8317626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2017.8317626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://mediatum.ub.tum.de/1430185","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043794126","display_name":"Jordan Ivanchev","orcid":"https://orcid.org/0000-0002-4821-8928"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jordan Ivanchev","raw_affiliation_strings":["TUM CREATE, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TUM CREATE, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072390316","display_name":"Daniel Zehe","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Zehe","raw_affiliation_strings":["TUM CREATE, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TUM CREATE, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033494951","display_name":"Suraj Nair","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suraj Nair","raw_affiliation_strings":["TUM CREATE, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TUM CREATE, Singapore","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063781430","display_name":"Alois Knoll","orcid":"https://orcid.org/0000-0003-4840-076X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alois Knoll","raw_affiliation_strings":["Technische Universit\u00e4t M\u00fcnchen (TUM), Institute for Informatics, Robotics and Embedded Systems, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t M\u00fcnchen (TUM), Institute for Informatics, Robotics and Embedded Systems, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8455,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76909994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.9837999939918518,"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/T10264","display_name":"Asphalt Pavement Performance Evaluation","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/robustness","display_name":"Robustness (evolution)","score":0.7946344017982483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7816160917282104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6847599744796753},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6818448901176453},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6189945936203003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.595848560333252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5941447019577026},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4762299656867981},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4762164056301117},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45760273933410645},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14460384845733643}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7946344017982483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7816160917282104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6847599744796753},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6818448901176453},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6189945936203003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.595848560333252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5941447019577026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4762299656867981},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4762164056301117},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45760273933410645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14460384845733643},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itsc.2017.8317626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2017.8317626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1430185","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1430185","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:mediatum.ub.tum.de:node/1430185","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1430185","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W13130406","https://openalex.org/W1534308915","https://openalex.org/W1833005471","https://openalex.org/W1905322488","https://openalex.org/W1925073441","https://openalex.org/W1971231593","https://openalex.org/W1972199060","https://openalex.org/W1990947441","https://openalex.org/W2006122291","https://openalex.org/W2008423363","https://openalex.org/W2009111155","https://openalex.org/W2015599032","https://openalex.org/W2019682581","https://openalex.org/W2064196722","https://openalex.org/W2087070363","https://openalex.org/W2091613287","https://openalex.org/W2093462043","https://openalex.org/W2096819890","https://openalex.org/W2139737877","https://openalex.org/W2175601652","https://openalex.org/W2197178229","https://openalex.org/W2256578114","https://openalex.org/W2290255443","https://openalex.org/W2562294724","https://openalex.org/W2746723434","https://openalex.org/W3122027017","https://openalex.org/W6638646117","https://openalex.org/W6687504529"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W4231775656"],"abstract_inverted_index":{"Identification":[0],"of":[1,23,26,37,47,70,86,128,155,167],"critical":[2,87,129],"segments":[3,131],"in":[4,20,53],"a":[5,9,34,78,98],"road":[6,130],"network":[7,80,122],"is":[8],"crucial":[10],"task":[11],"for":[12,19,84],"transportation":[13],"system":[14,109],"planners":[15],"as":[16],"it":[17],"allows":[18],"depth":[21],"analysis":[22],"the":[24,27,45,48,104,114,120,134,140,147,151,165],"robustness":[25],"city's":[28],"infrastructure.":[29],"The":[30],"current":[31,71],"techniques":[32],"require":[33],"considerable":[35,125],"amount":[36],"computation,":[38],"which":[39,62,102],"does":[40],"not":[41],"scale":[42],"well":[43],"with":[44],"size":[46],"system.":[49],"With":[50],"recent":[51],"advances":[52],"machine":[54,168],"learning,":[55,169],"especially":[56],"classification":[57,85,141,162],"techniques,":[58],"there":[59],"are":[60],"methods,":[61],"can":[63,123],"prove":[64],"to":[65],"be":[66],"more":[67],"efficient":[68],"replacements":[69],"approaches.":[72],"In":[73],"this":[74],"paper":[75],"we":[76],"propose":[77],"neural":[79,121],"(NN)":[81],"based":[82],"approach":[83,149,154,163],"roads":[88],"under":[89],"user":[90],"equilibrium":[91],"traffic":[92],"(UE)":[93],"assignment.":[94],"We,":[95,143],"furthermore,":[96,144],"introduce":[97],"novel":[99],"predictor":[100],"attribute,":[101],"captures":[103],"contrast":[105],"between":[106],"UE":[107],"and":[108,132,159],"optimum":[110],"(SO)":[111],"assignment":[112],"on":[113],"network.":[115],"Our":[116],"results":[117],"demonstrate":[118,145],"that":[119,133,146],"achieve":[124],"identification":[126],"precision":[127],"SO":[135],"related":[136],"attributes":[137],"significantly":[138],"increase":[139],"power.":[142],"NN":[148],"outperforms":[150],"commonly":[152],"used":[153],"linear":[156],"regression":[157],"(LR)":[158],"another":[160],"popular":[161],"from":[164],"field":[166],"namely":[170],"support":[171],"vector":[172],"machines":[173],"(SVM).":[174]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2018-03-29T00:00:00"}
