{"id":"https://openalex.org/W135850866","doi":null,"title":"Vehicular pollution modeling using artificial neural network technique: A review","display_name":"Vehicular pollution modeling using artificial neural network technique: A review","publication_year":2005,"publication_date":"2005-09-01","ids":{"openalex":"https://openalex.org/W135850866","mag":"135850866"},"language":"en","primary_location":{"id":"mag:135850866","doi":null,"is_oa":true,"landing_page_url":"http://nopr.niscair.res.in/bitstream/123456789/5155/1/JSIR%2064%289%29%20637-647.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S20781845","display_name":"Journal of Scientific & Industrial Research","issn_l":"0022-4456","issn":["0022-4456","0970-5740","0975-1084"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310318680","host_organization_name":"NISCAIR","host_organization_lineage":["https://openalex.org/P4310318680","https://openalex.org/P4310318672"],"host_organization_lineage_names":["NISCAIR","Council of Scientific and Industrial Research"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Scientific & Industrial Research","raw_type":null},"volume":null,"type":"review","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://nopr.niscair.res.in/bitstream/123456789/5155/1/JSIR%2064%289%29%20637-647.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101410749","display_name":"Nidhi Sharma","orcid":"https://orcid.org/0000-0002-0835-2372","observed_orcids":["https://orcid.org/0000-0002-0835-2372"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nidhi Sharma","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0835-2372","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025903849","display_name":"K. K. Chaudhry","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. K. Chaudhry","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5112835937","display_name":"C. V. Chalapati Rao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. V. Chalapati Rao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"64","issue":"9","first_page":"637","last_page":"647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10190","display_name":"Air Quality and Health Impacts","score":0.0031999999191612005,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/vehicular-pollution","display_name":"vehicular pollution","score":0.7710000276565552},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.7670000195503235},{"id":"https://openalex.org/keywords/urban-air-quality","display_name":"urban air quality","score":0.8080000281333923},{"id":"https://openalex.org/keywords/vehicle-emissions","display_name":"vehicle emissions","score":0.5289999842643738},{"id":"https://openalex.org/keywords/air-quality-modeling","display_name":"air quality modeling","score":0.7720000147819519},{"id":"https://openalex.org/keywords/emissions-modeling","display_name":"emission modeling","score":0.6209999918937683},{"id":"https://openalex.org/keywords/performance-criteria","display_name":"performance standards","score":0.8130000233650208},{"id":"https://openalex.org/keywords/air-quality-management","display_name":"air quality management","score":0.671999990940094}],"concepts":[{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.6637928485870361},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6599020957946777},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.612207293510437},{"id":"https://openalex.org/C521259446","wikidata":"https://www.wikidata.org/wiki/Q58734","display_name":"Pollution","level":2,"score":0.5858860015869141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47509920597076416},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.44594234228134155},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3796609044075012},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2888612747192383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22480344772338867},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09463775157928467},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:135850866","doi":null,"is_oa":true,"landing_page_url":"http://nopr.niscair.res.in/bitstream/123456789/5155/1/JSIR%2064%289%29%20637-647.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S20781845","display_name":"Journal of Scientific & Industrial Research","issn_l":"0022-4456","issn":["0022-4456","0970-5740","0975-1084"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310318680","host_organization_name":"NISCAIR","host_organization_lineage":["https://openalex.org/P4310318680","https://openalex.org/P4310318672"],"host_organization_lineage_names":["NISCAIR","Council of Scientific and Industrial Research"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Scientific & Industrial Research","raw_type":null}],"best_oa_location":{"id":"mag:135850866","doi":null,"is_oa":true,"landing_page_url":"http://nopr.niscair.res.in/bitstream/123456789/5155/1/JSIR%2064%289%29%20637-647.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S20781845","display_name":"Journal of Scientific & Industrial Research","issn_l":"0022-4456","issn":["0022-4456","0970-5740","0975-1084"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310318680","host_organization_name":"NISCAIR","host_organization_lineage":["https://openalex.org/P4310318680","https://openalex.org/P4310318672"],"host_organization_lineage_names":["NISCAIR","Council of Scientific and Industrial Research"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Scientific & Industrial Research","raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.9333000183105469}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1493971325","https://openalex.org/W1976744036","https://openalex.org/W1977177161","https://openalex.org/W1991520883","https://openalex.org/W1995265224","https://openalex.org/W2002016471","https://openalex.org/W2006544565","https://openalex.org/W2026065039","https://openalex.org/W2027332217","https://openalex.org/W2030848761","https://openalex.org/W2034140946","https://openalex.org/W2040179209","https://openalex.org/W2040870580","https://openalex.org/W2047884674","https://openalex.org/W2052353011","https://openalex.org/W2054576209","https://openalex.org/W2058709617","https://openalex.org/W2067186191","https://openalex.org/W2070429306","https://openalex.org/W2077412725","https://openalex.org/W2089273527","https://openalex.org/W2089526707","https://openalex.org/W2090593940","https://openalex.org/W2105796585","https://openalex.org/W2111286455","https://openalex.org/W2113282551","https://openalex.org/W2117467587","https://openalex.org/W2124776405","https://openalex.org/W2130520226","https://openalex.org/W2137663601","https://openalex.org/W2137983211","https://openalex.org/W2142426721","https://openalex.org/W2154922885","https://openalex.org/W2611078546"],"related_works":["https://openalex.org/W1997103222","https://openalex.org/W4388179380","https://openalex.org/W2099392863","https://openalex.org/W4406227127","https://openalex.org/W2168223083","https://openalex.org/W2497003842","https://openalex.org/W2077412725","https://openalex.org/W2414650259","https://openalex.org/W2283893686","https://openalex.org/W2611078546"],"abstract_inverted_index":{"Air":[0],"quality":[1,14,20],"models":[2,87,173],"form":[3],"one":[4],"of":[5,10,50,144,147,159],"the":[6,28,33,46,51,61,83,129,139,145],"most":[7],"important":[8],"components":[9],"an":[11,100,124],"urban":[12,84,136,154],"air":[13,19,52,79],"management":[15,21,55],"plan.":[16],"An":[17],"effective":[18],"system":[22],"must":[23],"be":[24,58],"able":[25],"to":[26,41,57,77,92],"provide":[27],"authorities":[29],"with":[30],"information":[31],"on":[32],"current":[34],"and":[35,48,70,96,156,161],"likely":[36],"future":[37],"trends,":[38],"enabling":[39],"them":[40],"make":[42],"necessary":[43],"assessments":[44],"regarding":[45],"extent":[47],"type":[49],"pollution":[53,80,89,97,151],"control":[54],"strategies":[56],"implemented":[59],"throughout":[60],"area.":[62],"Various":[63],"statistical":[64,111],"modeling":[65,112,128,152,162],"techniques":[66],"(regression,":[67],"multiple":[68],"regression":[69],"time":[71],"series":[72],"analysis)":[73],"have":[74,174],"been":[75,104,175],"used":[76,122],"predict":[78],"concentrations":[81,90],"in":[82,135,149],"environment.":[85],"These":[86],"calculate":[88],"due":[91],"observed":[93],"traffic,":[94],"meteorological":[95],"data":[98],"after":[99],"appropriate":[101],"relationship":[102],"has":[103],"obtained":[105],"empirically":[106],"between":[107],"these":[108],"parameters.":[109],"Recently,":[110],"tool":[113,126],"such":[114],"as":[115,123],"artificial":[116],"neural":[117],"network":[118],"(ANN)":[119],"is":[120],"increasingly":[121],"alternative":[125],"for":[127,168],"pollutants":[130],"from":[131],"vehicular":[132,150,171],"traffic":[133],"particularly":[134],"areas.":[137],"In":[138],"present":[140],"paper,":[141],"a":[142],"review":[143],"applications":[146],"ANN":[148,160,169],"under":[153],"condition":[155],"basic":[157],"features":[158],"philosophy,":[163],"including":[164],"performance":[165],"evaluation":[166],"criteria":[167],"based":[170],"emission":[172],"described.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}