{"id":"https://openalex.org/W4385804801","doi":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200431","title":"Ubiquitous Transportation Mode Estimation using Limited Cell Tower Information","display_name":"Ubiquitous Transportation Mode Estimation using Limited Cell Tower Information","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4385804801","doi":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200431"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2023-spring57618.2023.10200431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)","raw_type":"proceedings-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/A5103221496","display_name":"Sherif Mostafa","orcid":"https://orcid.org/0000-0003-1405-3966"},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Sherif Mostafa","raw_affiliation_strings":["The American University in Cairo,Cairo,Egypt","The American University in Cairo, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"The American University in Cairo,Cairo,Egypt","institution_ids":["https://openalex.org/I80693520"]},{"raw_affiliation_string":"The American University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008319184","display_name":"Khaled A. Harras","orcid":"https://orcid.org/0000-0002-1327-9077"},"institutions":[{"id":"https://openalex.org/I4210089979","display_name":"Carnegie Mellon University Qatar","ror":"https://ror.org/00az5dt38","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210089979","https://openalex.org/I74973139"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Khaled A. Harras","raw_affiliation_strings":["Carnegie Mellon University,Doha,Qatar","Carnegie Mellon University, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Doha,Qatar","institution_ids":["https://openalex.org/I4210089979"]},{"raw_affiliation_string":"Carnegie Mellon University, Doha, Qatar","institution_ids":["https://openalex.org/I4210089979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008352007","display_name":"Moustafa Youssef","orcid":"https://orcid.org/0000-0002-2063-4364"},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Moustafa Youssef","raw_affiliation_strings":["The American University in Cairo,Cairo,Egypt","The American University in Cairo, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"The American University in Cairo,Cairo,Egypt","institution_ids":["https://openalex.org/I80693520"]},{"raw_affiliation_string":"The American University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103221496"],"corresponding_institution_ids":["https://openalex.org/I80693520"],"apc_list":null,"apc_paid":null,"fwci":2.9362,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89937759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9936000108718872,"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/computer-science","display_name":"Computer science","score":0.7745567560195923},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6541593670845032},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5739272236824036},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5487334728240967},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5256946086883545},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.5003945827484131},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44107621908187866},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.41710591316223145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31219735741615295},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18730753660202026},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16281437873840332},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.13057082891464233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7745567560195923},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6541593670845032},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5739272236824036},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5487334728240967},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5256946086883545},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.5003945827484131},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44107621908187866},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.41710591316223145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31219735741615295},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18730753660202026},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16281437873840332},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.13057082891464233},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2023-spring57618.2023.10200431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309815","display_name":"Qatar Foundation","ror":"https://ror.org/01cawbq05"},{"id":"https://openalex.org/F4320328869","display_name":"Mastercard Foundation","ror":"https://ror.org/02qsb4r69"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1809001740","https://openalex.org/W1962460445","https://openalex.org/W1983363341","https://openalex.org/W1989048674","https://openalex.org/W2020642377","https://openalex.org/W2021581254","https://openalex.org/W2083970834","https://openalex.org/W2095705004","https://openalex.org/W2108328714","https://openalex.org/W2144169341","https://openalex.org/W2741243151","https://openalex.org/W2883766876","https://openalex.org/W2907123474","https://openalex.org/W2972822583","https://openalex.org/W2988138047","https://openalex.org/W3003858448","https://openalex.org/W3046411981","https://openalex.org/W3084913306","https://openalex.org/W3103873243","https://openalex.org/W3109383284","https://openalex.org/W3125675327","https://openalex.org/W3191210829","https://openalex.org/W6638045046","https://openalex.org/W6674330103","https://openalex.org/W6729216784"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W2593280956","https://openalex.org/W2004312940","https://openalex.org/W1909961747","https://openalex.org/W1938318326","https://openalex.org/W1969479488"],"abstract_inverted_index":{"The":[0],"need":[1],"for":[2],"a":[3,63,95,135,173],"ubiquitous":[4,39,64,175],"and":[5,16,24,65,81,106,124,164,168,176],"accurate":[6],"transportation":[7,68],"mode":[8,69],"estimation":[9,70],"system":[10,71,100,110],"has":[11],"recently":[12],"risen.":[13],"Unfortunately,":[14],"GPS-based":[15],"inertial":[17],"sensor-based":[18],"solutions":[19],"lack":[20,119],"this":[21],"needed":[22],"ubiquity":[23],"large-scale":[25],"deployability,":[26],"especially":[27],"in":[28,116,127,161],"developing":[29],"countries.":[30],"Thus,":[31],"novel":[32,96],"systems":[33,44],"have":[34],"proposed":[35],"leveraging":[36],"the":[37,89,181],"more":[38],"cellular":[40,117],"technology.":[41],"However,":[42],"these":[43],"either":[45],"require":[46],"cell":[47,91,183],"tower":[48,184],"locations":[49],"or":[50],"rely":[51],"on":[52,74,79],"information":[53,86,125],"from":[54,87],"multiple":[55],"towers,":[56],"which":[57],"limits":[58],"their":[59],"deployability.We":[60],"propose":[61],"AutoSense,":[62],"easily":[66],"deployable":[67,177],"that":[72],"works":[73],"all":[75],"phones":[76],"by":[77],"relying":[78],"handover":[80],"received":[82],"signal":[83],"strength":[84],"(RSS)":[85],"only":[88,180],"serving":[90,182],"tower.":[92],"AutoSense":[93,133,157],"offers":[94],"domain-specific":[97],"deep":[98],"learning-based":[99],"to":[101,154],"perform":[102],"automatic":[103],"feature":[104],"extraction":[105],"time-series":[107],"processing.":[108],"Our":[109,149],"handles":[111],"several":[112],"challenges,":[113],"including":[114],"limitations":[115],"data,":[118],"of":[120,140,143,166],"location":[121],"information,":[122],"overfitting,":[123],"decay":[126],"long-term":[128],"dependencies.":[129],"We":[130],"extensively":[131],"evaluate":[132],"using":[134,179],"real-world":[136],"public":[137],"dataset":[138],"composed":[139],"395":[141],"hours":[142],"data":[144],"collected":[145],"over":[146],"seven":[147],"months.":[148],"results":[150],"show":[151],"that,":[152],"compared":[153],"state-of-the-art":[155],"systems,":[156],"can":[158],"achieve":[159],"enhancements":[160],"average":[162],"precision":[163],"recall":[165],"12.36%":[167],"14.93%,":[169],"respectively,":[170],"while":[171],"providing":[172],"highly":[174],"solution":[178],"information.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
