{"id":"https://openalex.org/W2582293872","doi":"https://doi.org/10.1109/vnc.2016.7835965","title":"RideSense: Towards ticketless transportation","display_name":"RideSense: Towards ticketless transportation","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2582293872","doi":"https://doi.org/10.1109/vnc.2016.7835965","mag":"2582293872"},"language":"en","primary_location":{"id":"doi:10.1109/vnc.2016.7835965","doi":"https://doi.org/10.1109/vnc.2016.7835965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vnc.2016.7835965","pdf_url":null,"source":{"id":"https://openalex.org/S7407088412","display_name":"IEEE Vehicular Networking Conference (VNC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Vehicular Networking Conference (VNC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5048778310","display_name":"Rufeng Meng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rufeng Meng","raw_affiliation_strings":["University of South Carolina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Carolina","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053111370","display_name":"David Wolfgang Gromling","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"David Wolfgang Gromling","raw_affiliation_strings":["Technische Universit\u00e4t, Darmstadt","University of Illinois at Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t, Darmstadt","institution_ids":["https://openalex.org/I31512782"]},{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111442177","display_name":"Romit Roy Choudhury","orcid":"https://orcid.org/0009-0005-1251-1603","observed_orcids":["https://orcid.org/0009-0005-1251-1603"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Romit Roy Choudhury","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070972371","display_name":"Srihari Nelakuditi","orcid":"https://orcid.org/0000-0001-5990-394X","observed_orcids":["https://orcid.org/0000-0001-5990-394X"]},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srihari Nelakuditi","raw_affiliation_strings":["University of South Carolina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Carolina","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.19328522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9243000149726868,"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":0.9243000149726868,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.01889999955892563,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.016599999740719795,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/public-transit-fare-collection","display_name":"public transit fare collection","score":0.7239999771118164},{"id":"https://openalex.org/keywords/bus-tracking","display_name":"bus tracking","score":0.40299999713897705},{"id":"https://openalex.org/keywords/smartphone-motion-sensing","display_name":"smartphone motion sensing","score":0.609000027179718},{"id":"https://openalex.org/keywords/vehicle-recognition","display_name":"vehicle identification","score":0.38499999046325684},{"id":"https://openalex.org/keywords/smart-cities","display_name":"smart cities","score":0.7049999833106995}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.806066632270813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6633054614067078},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.6399848461151123},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.6266599893569946},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.5331912040710449},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4625059962272644},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4319775104522705},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3973296582698822},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.38112354278564453},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.34588873386383057},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20185008645057678},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10704204440116882},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09118393063545227},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vnc.2016.7835965","doi":"https://doi.org/10.1109/vnc.2016.7835965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vnc.2016.7835965","pdf_url":null,"source":{"id":"https://openalex.org/S7407088412","display_name":"IEEE Vehicular Networking Conference (VNC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Vehicular Networking Conference (VNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":1.0,"display_name":"Industry, innovation and infrastructure"},{"id":"https://metadata.un.org/sdg/11","score":0.8787999749183655,"display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1605476884","https://openalex.org/W1977093441","https://openalex.org/W1984589714","https://openalex.org/W1996573126","https://openalex.org/W2015990049","https://openalex.org/W2058184275","https://openalex.org/W2074206703","https://openalex.org/W2103851624","https://openalex.org/W2107093695","https://openalex.org/W2108467170","https://openalex.org/W2108609368","https://openalex.org/W2156167000","https://openalex.org/W2162870748","https://openalex.org/W2266222651","https://openalex.org/W2480859604","https://openalex.org/W3122289026","https://openalex.org/W6721887335"],"related_works":["https://openalex.org/W7128675159","https://openalex.org/W2922069664","https://openalex.org/W4221152948","https://openalex.org/W2952541517","https://openalex.org/W2108227676","https://openalex.org/W2625442125","https://openalex.org/W3161463814","https://openalex.org/W4402834679","https://openalex.org/W2925232650","https://openalex.org/W7100244955"],"abstract_inverted_index":{"Imagine":[0],"a":[1,24,113,153,159,242],"transportation":[2,238],"system":[3,17,25],"in":[4,127,168,197,244],"which":[5,173],"passengers":[6],"simply":[7],"get":[8],"on/off":[9],"without":[10],"any":[11],"explicit":[12],"ticketing":[13],"operation.":[14],"Yet,":[15],"the":[16,49,87,91,109,122,140,164,210,219,223,248],"tracks":[18],"usage":[19],"and":[20,32,58,62,90,99,128,151,179,214,222],"charges":[21],"passengers.":[22],"Such":[23],"will":[26],"not":[27],"only":[28],"be":[29,36,66,97,241],"more":[30,37],"convenient":[31],"efficient,":[33],"but":[34],"also":[35,73,96],"conducive":[38],"for":[39],"analytics,":[40],"than":[41],"existing":[42],"systems.":[43],"Towards":[44],"that":[45,51,70,108,120,132,157,169,201,235],"goal,":[46],"we":[47,106,146],"exploit":[48],"opportunity":[50],"people":[52],"are":[53,72],"carrying":[54],"sensor-equipped":[55],"smart":[56,82,115,245],"devices,":[57],"their":[59,215],"motion":[60,89],"trajectories/patterns":[61],"experienced":[63,92],"environment":[64,93],"can":[65,95],"measured":[67],"continuously.":[68],"Assuming":[69],"vehicles":[71,135],"equipped":[74],"with":[75,119,188],"such":[76],"sensors":[77,213],"(perhaps":[78],"fixed":[79],"devices":[80,83],"or":[81],"carried":[84],"by":[85,112],"drivers),":[86],"vehicles'":[88],"characteristics":[94],"recorded":[98],"uploaded":[100],"to":[101,171],"cloud.":[102],"Under":[103],"these":[104],"assumptions,":[105],"hypothesize":[107],"motion/environment":[110],"sensed":[111],"passenger's":[114,160],"device":[116],"correlates":[117],"strongly":[118],"of":[121,133,139,166,186,191,206,212,218,225,247],"vehicle":[123],"she":[124,176,181],"is":[125,129],"traveling":[126],"distinct":[130],"from":[131,193,231],"other":[134,137],"and/or":[136],"traces":[138,165,192],"same":[141],"vehicle.":[142],"In":[143],"this":[144,149],"paper,":[145],"expand":[147],"on":[148,209],"intuition":[150],"develop":[152],"system,":[154],"called":[155],"RideSense,":[156,187],"matches":[158],"sensor":[161],"trace":[162],"against":[163],"buses":[167],"area,":[170,199],"determine":[172],"bus,":[174],"when":[175],"has":[177],"taken":[178],"where":[180],"gets":[182],"on/off.":[183],"Our":[184],"evaluation":[185],"20+":[189],"hours":[190],"5":[194],"bus":[195],"lines":[196],"our":[198],"shows":[200],"it":[202],"achieves":[203],"an":[204],"accuracy":[205],"84~98%,":[207],"depending":[208],"choice":[211],"features,":[216],"positions":[217],"passengers'":[220],"phones":[221],"metrics":[224],"measurement.":[226],"These":[227],"results,":[228],"while":[229],"far":[230],"conclusive,":[232],"offer":[233],"confidence":[234],"ticketless":[236],"public":[237],"may":[239],"indeed":[240],"possibility":[243],"cities":[246],"future.":[249]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2017-02-03T00:00:00"}
