{"id":"https://openalex.org/W3194647634","doi":"https://doi.org/10.1145/3448891.3448897","title":"Towards Bike Type and E-Scooter Classification With Smartphone Sensors","display_name":"Towards Bike Type and E-Scooter Classification With Smartphone Sensors","publication_year":2020,"publication_date":"2020-12-07","ids":{"openalex":"https://openalex.org/W3194647634","doi":"https://doi.org/10.1145/3448891.3448897","mag":"3194647634"},"language":"en","primary_location":{"id":"doi:10.1145/3448891.3448897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448891.3448897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MobiQuitous 2020 - 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services","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/A5017683291","display_name":"Viktor Matkovic","orcid":"https://orcid.org/0000-0002-6808-471X"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Viktor Matkovic","raw_affiliation_strings":["University of Duisburg-Essen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Duisburg-Essen, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061472646","display_name":"Marian Waltereit","orcid":"https://orcid.org/0000-0001-5480-8783"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marian Waltereit","raw_affiliation_strings":["University of Duisburg-Essen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Duisburg-Essen, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012213622","display_name":"Peter Zdankin","orcid":"https://orcid.org/0000-0002-7856-9497"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Zdankin","raw_affiliation_strings":["University of Duisburg-Essen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Duisburg-Essen, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016729057","display_name":"Torben Weis","orcid":"https://orcid.org/0000-0001-6594-326X"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Torben Weis","raw_affiliation_strings":["University of Duisburg-Essen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Duisburg-Essen, Germany","institution_ids":["https://openalex.org/I62318514"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017683291"],"corresponding_institution_ids":["https://openalex.org/I62318514"],"apc_list":null,"apc_paid":null,"fwci":0.5126,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77995312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"395","last_page":"404"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9886000156402588,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9675999879837036,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7183297276496887},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6698559522628784},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6507906913757324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5952754616737366},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.42606762051582336},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3282619118690491},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32387757301330566},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2588774561882019}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7183297276496887},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6698559522628784},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6507906913757324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5952754616737366},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.42606762051582336},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3282619118690491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32387757301330566},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2588774561882019},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3448891.3448897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448891.3448897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MobiQuitous 2020 - 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W376961572","https://openalex.org/W1977324115","https://openalex.org/W2020642377","https://openalex.org/W2108328714","https://openalex.org/W2108467170","https://openalex.org/W2111207525","https://openalex.org/W2126069365","https://openalex.org/W2143394441","https://openalex.org/W2794724855","https://openalex.org/W2799604656","https://openalex.org/W2963501369","https://openalex.org/W2973229721","https://openalex.org/W4249505120","https://openalex.org/W4251609033"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W4225147082","https://openalex.org/W2898732673"],"abstract_inverted_index":{"In":[0,56],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,86],"novel":[6],"approach":[7,93],"for":[8,51,66,70],"identifying":[9],"various":[10,97,104],"bike":[11,54,61,79,107,115],"types":[12,108,116],"and":[13,35,42,45,99,109,123,130],"e-scooters":[14],"using":[15],"sensor":[16],"readings":[17],"from":[18],"the":[19,52,58],"cyclist\u2019s":[20,53],"smartphone.":[21],"Bike":[22],"type":[23,62],"identification":[24,63],"is":[25,64],"necessary":[26],"to":[27,94,127],"provide":[28],"context-aware":[29],"navigation":[30],"services":[31],"that":[32,114],"consider":[33],"e-scooter-":[34],"bike-specific":[36],"road":[37],"conditions":[38],"in":[39],"route":[40],"planning":[41],"improve":[43],"safety":[44],"comfort":[46],"by":[47],"suggesting":[48],"roads":[49],"suitable":[50],"type.":[55],"addition,":[57],"idea":[59],"of":[60,125],"useful":[65],"advertising":[67],"purposes":[68],"or":[69,80],"improving":[71],"VPA":[72],"(Virtual":[73],"Personal":[74],"Assistants)":[75],"capabilities":[76],"with":[77,119],"non-intrusive,":[78],"e-scooter":[81],"specific":[82],"suggestions.":[83],"We":[84],"employ":[85],"CNN":[87],"(Convolutional":[88],"Neural":[89],"Network)":[90],"deep":[91],"learning":[92],"differentiate":[95],"between":[96],"bike-types":[98],"e-scooters.":[100],"The":[101,111],"evaluation":[102],"includes":[103],"roads,":[105],"cyclists,":[106],"smartphones.":[110],"results":[112],"show":[113],"are":[117],"identified":[118],"average":[120],"F1-scores,":[121],"Accuracy":[122],"AUC":[124],"up":[126],"0.92,":[128],"0.90":[129],"0.98":[131],"respectively.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
