{"id":"https://openalex.org/W2594735912","doi":"https://doi.org/10.48550/arxiv.1703.00759","title":"Real-time public transport service-level monitoring using passive WiFi: a spectral clustering approach for train timetable estimation","display_name":"Real-time public transport service-level monitoring using passive WiFi: a spectral clustering approach for train timetable estimation","publication_year":2017,"publication_date":"2017-03-02","ids":{"openalex":"https://openalex.org/W2594735912","doi":"https://doi.org/10.48550/arxiv.1703.00759","mag":"2594735912"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1703.00759","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.00759","pdf_url":"https://arxiv.org/pdf/1703.00759","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1703.00759","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054859870","display_name":"Baoyang Song","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Song, Baoyang","raw_affiliation_strings":["Ecole Polytechnique France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique France","institution_ids":["https://openalex.org/I142476485"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070946273","display_name":"Laura Wynter","orcid":"https://orcid.org/0000-0001-5169-0214","observed_orcids":["https://orcid.org/0000-0001-5169-0214"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wynter, Laura","raw_affiliation_strings":["IBM Research Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Singapore","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.7548999786376953,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.7548999786376953,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.13819999992847443,"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":0.03269999846816063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/public-transport","display_name":"public transport","score":0.7480000257492065},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"spectral clustering","score":0.8880000114440918},{"id":"https://openalex.org/keywords/vehicle-headway","display_name":"vehicle headway","score":0.7850000262260437},{"id":"https://openalex.org/keywords/dwell-time","display_name":"dwell time","score":0.847000002861023},{"id":"https://openalex.org/keywords/incident-detection","display_name":"incident detection","score":0.9020000100135803},{"id":"https://openalex.org/keywords/real-time-monitoring","display_name":"real-time monitoring","score":0.7860000133514404},{"id":"https://openalex.org/keywords/trajectory-analysis","display_name":"trajectory analysis","score":0.5699999928474426},{"id":"https://openalex.org/keywords/service-level-indicators","display_name":"service level indicators","score":0.4050000011920929}],"concepts":[{"id":"https://openalex.org/C2779240695","wikidata":"https://www.wikidata.org/wiki/Q4383682","display_name":"Headway","level":2,"score":0.803349494934082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907326579093933},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.6899694204330444},{"id":"https://openalex.org/C151637689","wikidata":"https://www.wikidata.org/wiki/Q5318064","display_name":"Dwell time","level":2,"score":0.687353789806366},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6416616439819336},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6116014719009399},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5824908018112183},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5351852774620056},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.49028685688972473},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4550027847290039},{"id":"https://openalex.org/C110593043","wikidata":"https://www.wikidata.org/wiki/Q7300787","display_name":"Real-time data","level":2,"score":0.44948703050613403},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2604833245277405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.259452223777771},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.24894478917121887},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22348561882972717},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.21678274869918823},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.182303786277771},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:1703.00759","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.00759","pdf_url":"https://arxiv.org/pdf/1703.00759","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1703.00759","doi":"https://doi.org/10.48550/arxiv.1703.00759","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1703.00759","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1703.00759","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.00759","pdf_url":"https://arxiv.org/pdf/1703.00759","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.8970999717712402,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"},{"score":0.875,"display_name":"Sustainable cities and communities","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/W2054621077","https://openalex.org/W2294187070"],"related_works":["https://openalex.org/W4287750392","https://openalex.org/W2089952725","https://openalex.org/W2912554422","https://openalex.org/W2908560481","https://openalex.org/W2737572734","https://openalex.org/W2400149216","https://openalex.org/W4360596526","https://openalex.org/W3047598154","https://openalex.org/W2752406930","https://openalex.org/W2792801956"],"abstract_inverted_index":{"A":[0],"new":[1],"area":[2],"in":[3,38,174],"which":[4,161],"passive":[5,94],"WiFi":[6,95,159],"analytics":[7],"have":[8],"promise":[9],"for":[10,49,56,76],"delivering":[11],"value":[12],"is":[13,23,54],"the":[14,25,30,57,106,115,154,157,169,172,175],"real-time":[15,58,141],"monitoring":[16,59],"of":[17,33,60,97,99,114,153,156,171],"public":[18,35,61,101,119],"transport":[19,36,62,102,116,120],"systems.":[20],"One":[21],"example":[22],"determining":[24],"true":[26,107],"(as":[27],"opposed":[28],"to":[29,104],"published)":[31],"timetable":[32,108],"a":[34,100,137],"system":[37,103],"real-time.":[39],"In":[40,81],"most":[41],"cases,":[42],"there":[43],"are":[44],"no":[45],"other":[46],"publicly-available":[47],"sources":[48],"this":[50,66,82],"information.":[51],"Yet,":[52],"it":[53],"indispensable":[55],"service":[63],"levels.":[64],"Furthermore,":[65],"information,":[67,166],"if":[68],"accurate":[69,140],"and":[70,109,123,139],"temporally":[71],"fine-grained,":[72],"can":[73,144],"be":[74,145],"used":[75],"very":[77,163],"low-latency":[78],"incident":[79],"detection.":[80],"work,":[83],"we":[84,134,149],"propose":[85],"using":[86],"spectral":[87],"clustering":[88],"based":[89],"on":[90],"trajectories":[91],"derived":[92],"from":[93],"traces":[96],"users":[98],"infer":[105],"two":[110],"key":[111],"performance":[112],"indicators":[113],"service,":[117],"namely":[118],"vehicle":[121],"headway":[122],"in-station":[124],"dwell":[125,130],"time.":[126],"By":[127],"detecting":[128],"anomalous":[129],"times":[131],"or":[132],"headways,":[133],"demonstrate":[135],"that":[136],"fast":[138],"incident-detection":[142],"procedure":[143],"obtained.":[146],"The":[147],"method":[148],"introduce":[150],"makes":[151],"use":[152],"advantages":[155],"high-frequency":[158],"data,":[160],"provides":[162],"low-latency,":[164],"universally-accessible":[165],"while":[167],"minimizing":[168],"impact":[170],"noise":[173],"data.":[176]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-09-30T09:27:27.532063","created_date":"2017-03-16T00:00:00"}