{"id":"https://openalex.org/W2407118485","doi":"https://doi.org/10.1186/s40537-016-0044-5","title":"A novel framework to analyze road accident time series data","display_name":"A novel framework to analyze road accident time series data","publication_year":2016,"publication_date":"2016-05-26","ids":{"openalex":"https://openalex.org/W2407118485","doi":"https://doi.org/10.1186/s40537-016-0044-5","mag":"2407118485"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-016-0044-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-016-0044-5","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-016-0044-5","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-016-0044-5","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032948428","display_name":"Sachin Kumar","orcid":"https://orcid.org/0000-0003-3949-0302"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sachin Kumar","raw_affiliation_strings":["Centre for Transportation Systems (CTRANS), Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India"],"affiliations":[{"raw_affiliation_string":"Centre for Transportation Systems (CTRANS), Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082753354","display_name":"Durga Toshniwal","orcid":null},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Durga Toshniwal","raw_affiliation_strings":["Computer Science and Engineering Department, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032948428"],"corresponding_institution_ids":["https://openalex.org/I154851008"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":5.8002,"has_fulltext":true,"cited_by_count":44,"citation_normalized_percentile":{"value":0.96784566,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9966999888420105,"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/T10370","display_name":"Traffic and Road Safety","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/road-accident","display_name":"Road accident","score":0.7084438800811768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5699464082717896},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5323975682258606},{"id":"https://openalex.org/keywords/accident","display_name":"Accident (philosophy)","score":0.5199833512306213},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5057632923126221},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4108580946922302},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1428530514240265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09295269846916199}],"concepts":[{"id":"https://openalex.org/C3018122277","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Road accident","level":2,"score":0.7084438800811768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5699464082717896},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5323975682258606},{"id":"https://openalex.org/C2780289543","wikidata":"https://www.wikidata.org/wiki/Q424630","display_name":"Accident (philosophy)","level":2,"score":0.5199833512306213},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5057632923126221},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4108580946922302},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1428530514240265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09295269846916199},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/s40537-016-0044-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-016-0044-5","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-016-0044-5","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/s40537-016-0044-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-016-0044-5","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-016-0044-5","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2407118485.pdf","grobid_xml":"https://content.openalex.org/works/W2407118485.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W208128215","https://openalex.org/W1565377632","https://openalex.org/W1970559658","https://openalex.org/W1971934738","https://openalex.org/W1976961608","https://openalex.org/W1993899302","https://openalex.org/W1998443375","https://openalex.org/W2002830978","https://openalex.org/W2023171043","https://openalex.org/W2035055162","https://openalex.org/W2038083916","https://openalex.org/W2044591035","https://openalex.org/W2054965269","https://openalex.org/W2072274284","https://openalex.org/W2080911646","https://openalex.org/W2091921805","https://openalex.org/W2097747115","https://openalex.org/W2103452420","https://openalex.org/W2108447256","https://openalex.org/W2112104703","https://openalex.org/W2118023920","https://openalex.org/W2140190241","https://openalex.org/W2173274667","https://openalex.org/W2248217952","https://openalex.org/W2271450618","https://openalex.org/W2482589566","https://openalex.org/W2516321972"],"related_works":["https://openalex.org/W2141313262","https://openalex.org/W2994449158","https://openalex.org/W2992555667","https://openalex.org/W2106959817","https://openalex.org/W2243906637","https://openalex.org/W2775072203","https://openalex.org/W575687973","https://openalex.org/W2901982302","https://openalex.org/W622786879","https://openalex.org/W4381164533"],"abstract_inverted_index":{"Road":[0,62],"accident":[1,36,63,94,127,165,228],"data":[2,37,44,168,174,191],"analysis":[3,38,133,219],"plays":[4],"an":[5,135],"important":[6,136],"role":[7],"in":[8,20,59,72,83,98,108,144,151,234],"identifying":[9,52,145],"key":[10,53],"factors":[11,18,54],"associated":[12,17,55],"with":[13,56],"road":[14,27,35,57,76,93,116,126,164,227,252],"accidents.":[15,28,253],"These":[16],"help":[19],"taking":[21],"preventive":[22,247],"measures":[23],"to":[24,162,202,232,245,249],"overcome":[25,250],"the":[26,87,112,146,188,204,242,251],"Various":[29],"studies":[30,49],"have":[31,80,158],"been":[32],"done":[33],"on":[34,51,115,120],"using":[39],"traditional":[40],"statistical":[41],"techniques":[42],"and":[43,66,180,237],"mining":[45],"techniques.":[46],"All":[47],"these":[48],"focused":[50],"accidents":[58,77],"different":[60,152,193,221],"countries.":[61],"is":[64,96,129,134,200,214,230],"uncertain":[65],"unpredictable":[67],"events":[68],"which":[69,140],"can":[70,141],"occur":[71],"any":[73],"circumstances.":[74],"Also,":[75],"do":[78],"not":[79],"similar":[81],"impacts":[82],"every":[84],"region":[85],"of":[86,138,175,178,183,220],"districts.":[88,110,153],"There":[89],"are":[90],"chances":[91],"that":[92,169,226],"rate":[95],"increasing":[97,147],"a":[99,160],"certain":[100,235],"district":[101],"but":[102],"it":[103],"has":[104],"some":[105],"lower":[106],"impact":[107],"other":[109],"Hence,":[111],"more":[113],"focus":[114],"safety":[117],"should":[118,240],"be":[119,142,241],"those":[121,238],"regions":[122],"or":[123,148],"districts":[124,177,239],"where":[125],"trend":[128,218,229],"increasing.":[130],"Time":[131],"series":[132,167,173,190,197,207],"area":[137],"study":[139],"helpful":[143],"decreasing":[149],"trends":[150],"In":[154],"this":[155],"paper,":[156],"we":[157],"proposed":[159,201],"framework":[161,186],"analyze":[163],"time":[166,172,189,196,206],"takes":[170],"39":[171,176],"Gujrat":[179],"Uttarakhand":[181],"state":[182],"India.":[184],"This":[185,212],"segments":[187],"into":[192],"clusters.":[194,222],"A":[195],"merging":[198],"algorithm":[199],"find":[203],"representative":[205],"(RTS)":[208],"for":[209,217],"each":[210],"cluster.":[211],"RTS":[213],"further":[215],"used":[216],"The":[223],"results":[224],"reveals":[225],"going":[231],"increase":[233],"clusters":[236],"prime":[243],"concern":[244],"take":[246],"measure":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
