{"id":"https://openalex.org/W2345079855","doi":"https://doi.org/10.1109/iscit.2015.7458293","title":"Challenges in Implementing Crowdsourcing on automatic real-time transit tracking system","display_name":"Challenges in Implementing Crowdsourcing on automatic real-time transit tracking system","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2345079855","doi":"https://doi.org/10.1109/iscit.2015.7458293","mag":"2345079855"},"language":"en","primary_location":{"id":"doi:10.1109/iscit.2015.7458293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit.2015.7458293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 15th International Symposium on Communications and Information Technologies (ISCIT)","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/A5052557815","display_name":"Phuthipong Bovornkeeratiroj","orcid":"https://orcid.org/0000-0001-9248-1929"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Phuthipong Bovornkeeratiroj","raw_affiliation_strings":["Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050079924","display_name":"Kulit Na Nakorn","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kulit Na Nakorn","raw_affiliation_strings":["Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068948236","display_name":"Kultida Rojviboonchai","orcid":"https://orcid.org/0000-0002-5251-4690"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kultida Rojviboonchai","raw_affiliation_strings":["Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052557815"],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17504809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9969000220298767,"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":0.9919000267982483,"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/crowdsourcing","display_name":"Crowdsourcing","score":0.9567979574203491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7560204863548279},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6460263729095459},{"id":"https://openalex.org/keywords/arrival-time","display_name":"Arrival time","score":0.6435073614120483},{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.6186001896858215},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.5426940321922302},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5279746651649475},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4503447413444519},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41657620668411255},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37872833013534546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24732056260108948},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.23679739236831665},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1328136920928955},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13214990496635437}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9567979574203491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7560204863548279},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6460263729095459},{"id":"https://openalex.org/C3017552255","wikidata":"https://www.wikidata.org/wiki/Q4135208","display_name":"Arrival time","level":2,"score":0.6435073614120483},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.6186001896858215},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.5426940321922302},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5279746651649475},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4503447413444519},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41657620668411255},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37872833013534546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24732056260108948},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.23679739236831665},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1328136920928955},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13214990496635437},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscit.2015.7458293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit.2015.7458293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 15th International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321557","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1483877487","https://openalex.org/W1977093441","https://openalex.org/W2009042435","https://openalex.org/W2042126360","https://openalex.org/W2074197576","https://openalex.org/W2107093695","https://openalex.org/W2122412514"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114"],"abstract_inverted_index":{"Implementing":[0],"Crowdsourcing":[1],"in":[2,105,155],"arrival":[3,138,146],"time":[4,139,147],"prediction":[5,140,148],"system":[6,44,72,149],"for":[7,123,150],"public":[8,40],"transportation":[9],"lets":[10],"people":[11],"share":[12],"their":[13],"pieces":[14],"of":[15,37,59,115],"information":[16,30,51,83],"that":[17,45],"they":[18],"have,":[19],"such":[20],"as":[21],"the":[22,29,34,38,43,50,57,60,64,70,132],"transport":[23],"location":[24],"or":[25],"situation,":[26],"and":[27,63,113,117],"combine":[28],"together":[31],"to":[32,48,76,100],"get":[33],"complete":[35],"picture":[36],"interesting":[39],"transportation.":[41],"However,":[42],"requires":[46],"human":[47],"input":[49],"has":[52,73],"critical":[53],"problems,":[54],"which":[55,109,142],"are":[56,88,110],"needed":[58],"user":[61],"effort":[62],"fraud":[65],"by":[66,80,130],"false":[67],"reporting.":[68],"So":[69],"automatic":[71,106,145],"been":[74],"proposed":[75],"solve":[77],"those":[78,102,124],"problems":[79],"detecting":[81],"necessary":[82],"automatically.":[84],"But":[85],"still":[86],"there":[87],"some":[89,120],"new":[90,103],"challenges":[91,104],"coming":[92],"with":[93,135],"it.":[94],"In":[95],"this":[96],"paper,":[97],"we":[98],"aim":[99],"demonstrate":[101],"crowdsourcing":[107],"system,":[108,141],"Performance,":[111],"Consistency,":[112],"Continuity":[114],"Tracking":[116],"also":[118],"introduce":[119],"possible":[121],"solutions":[122,129],"challenges.":[125],"We":[126],"tested":[127],"our":[128,136],"simulating":[131],"problem":[133],"situations":[134],"boat":[137],"is":[143],"an":[144],"Chao":[151],"Phraya":[152],"Express":[153],"Boat":[154],"Bangkok,":[156],"Thailand.":[157]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
