{"id":"https://openalex.org/W2794610077","doi":"https://doi.org/10.5220/0006816306430647","title":"Bus Arrival Time Prediction with Limited Data Set using Regression Models","display_name":"Bus Arrival Time Prediction with Limited Data Set using Regression Models","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2794610077","doi":"https://doi.org/10.5220/0006816306430647","mag":"2794610077"},"language":"en","primary_location":{"id":"doi:10.5220/0006816306430647","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006816306430647","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0006816306430647","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026253590","display_name":"Armands Kviesis","orcid":"https://orcid.org/0000-0002-8204-8299"},"institutions":[{"id":"https://openalex.org/I116152951","display_name":"Latvia University of Life Sciences and Technologies","ror":"https://ror.org/03f077y84","country_code":"LV","type":"education","lineage":["https://openalex.org/I116152951"]}],"countries":["LV"],"is_corresponding":true,"raw_author_name":"Armands Kviesis","raw_affiliation_strings":["Latvia University of Agriculture, Latvia"],"affiliations":[{"raw_affiliation_string":"Latvia University of Agriculture, Latvia","institution_ids":["https://openalex.org/I116152951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062417631","display_name":"Aleksejs Zacepins","orcid":"https://orcid.org/0000-0002-6974-8653"},"institutions":[{"id":"https://openalex.org/I116152951","display_name":"Latvia University of Life Sciences and Technologies","ror":"https://ror.org/03f077y84","country_code":"LV","type":"education","lineage":["https://openalex.org/I116152951"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"Aleksejs Zacepins","raw_affiliation_strings":["Latvia University of Agriculture, Latvia"],"affiliations":[{"raw_affiliation_string":"Latvia University of Agriculture, Latvia","institution_ids":["https://openalex.org/I116152951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029318315","display_name":"Vit\u0101lijs Koma\u0161ilovs","orcid":"https://orcid.org/0000-0003-2797-633X"},"institutions":[{"id":"https://openalex.org/I116152951","display_name":"Latvia University of Life Sciences and Technologies","ror":"https://ror.org/03f077y84","country_code":"LV","type":"education","lineage":["https://openalex.org/I116152951"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"Vitalijs Komasilovs","raw_affiliation_strings":["Latvia University of Agriculture, Latvia"],"affiliations":[{"raw_affiliation_string":"Latvia University of Agriculture, Latvia","institution_ids":["https://openalex.org/I116152951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063196318","display_name":"Marcela Munizaga","orcid":"https://orcid.org/0000-0002-0485-5124"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Marcela Munizaga","raw_affiliation_strings":["Universidad de Chile, Chile"],"affiliations":[{"raw_affiliation_string":"Universidad de Chile, Chile","institution_ids":["https://openalex.org/I69737025"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026253590"],"corresponding_institution_ids":["https://openalex.org/I116152951"],"apc_list":null,"apc_paid":null,"fwci":0.3886,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.6496169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"643","last_page":"647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9470999836921692,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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":0.7261742353439331},{"id":"https://openalex.org/keywords/arrival-time","display_name":"Arrival time","score":0.5852437615394592},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5223649144172668},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5192018151283264},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5130413770675659},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5070145130157471},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4296967089176178},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4176216721534729},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3574380874633789},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3050726652145386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2945178747177124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2475537359714508},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11082398891448975},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08868634700775146},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07991820573806763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7261742353439331},{"id":"https://openalex.org/C3017552255","wikidata":"https://www.wikidata.org/wiki/Q4135208","display_name":"Arrival time","level":2,"score":0.5852437615394592},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5223649144172668},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5192018151283264},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5130413770675659},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5070145130157471},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4296967089176178},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4176216721534729},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3574380874633789},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3050726652145386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2945178747177124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2475537359714508},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11082398891448975},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08868634700775146},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07991820573806763},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0006816306430647","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006816306430647","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:repositorio.uchile.cl:2250/169503","is_oa":false,"landing_page_url":"https://repositorio.uchile.cl/handle/2250/169503","pdf_url":null,"source":{"id":"https://openalex.org/S4306481413","display_name":"Universidad de Chile","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"VEHITS 2018 - Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems","raw_type":"Art\u00edculo de revista"}],"best_oa_location":{"id":"doi:10.5220/0006816306430647","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006816306430647","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W2312753042","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W2621086889","https://openalex.org/W3174513558"],"abstract_inverted_index":{"All":[0],"rights":[1],"reserved.":[2],"The":[3],"increase":[4],"of":[5,22,44,99],"population":[6],"has":[7,95],"intensified":[8],"everyday":[9],"rush.":[10],"Traffic":[11],"congestions":[12],"are":[13,20],"still":[14],"a":[15],"problem":[16],"in":[17,108],"cities":[18],"and":[19,32,50,91,102,123],"one":[21],"the":[23,47,54,61,74,97],"main":[24],"cause":[25],"for":[26,67],"public":[27,40,88],"transport":[28,41],"delays.":[29],"City":[30],"residents":[31],"visitors":[33],"have":[34,105],"experienced":[35],"time":[36,73,117],"loss":[37],"by":[38],"using":[39,130],"buses,":[42],"because":[43],"waiting":[45],"at":[46,71,83],"bus":[48,55,75,85,89,115],"stops":[49],"not":[51],"knowing":[52],"if":[53],"is":[56,65,79],"delayed":[57],"or":[58],"already":[59,81],"serviced":[60],"stop.":[62,86],"Therefore":[63],"it":[64,80],"valuable":[66],"people":[68],"to":[69],"know":[70],"what":[72],"should":[76],"arrive":[77],"(or":[78],"missed)":[82],"specific":[84],"Real-time":[87],"tracking":[90],"management":[92],"system":[93],"development":[94],"been":[96,106],"focus":[98],"many":[100,103],"researchers,":[101],"studies":[104],"done":[107],"this":[109],"area.":[110],"This":[111],"paper":[112],"focuses":[113],"on":[114],"travel":[116],"prediction":[118],"comparison":[119],"between":[120],"linear":[121],"regression":[122,126],"support":[124],"vector":[125],"models":[127],"(SVR),":[128],"when":[129],"limited":[131],"data":[132],"set.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}