{"id":"https://openalex.org/W4408696456","doi":"https://doi.org/10.1109/itsc58415.2024.10919566","title":"Approach to Assimilate External Weather Information to Onboard Vehicle Measurements to Account for Weather-Related Impact Factors","display_name":"Approach to Assimilate External Weather Information to Onboard Vehicle Measurements to Account for Weather-Related Impact Factors","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408696456","doi":"https://doi.org/10.1109/itsc58415.2024.10919566"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10919566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","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/A5116732336","display_name":"Julian Kn\u00f6dler","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Julian Kn\u00f6dler","raw_affiliation_strings":["department for Energy Demand Prediction and Range Management,Weissach,Germany,71287"],"affiliations":[{"raw_affiliation_string":"department for Energy Demand Prediction and Range Management,Weissach,Germany,71287","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116732337","display_name":"Helen Lokowandt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Helen Lokowandt","raw_affiliation_strings":["department of Data Driven Engineering, Dr. Ing. h.c. F. Porsche AG,Weissach,Germany,71287"],"affiliations":[{"raw_affiliation_string":"department of Data Driven Engineering, Dr. Ing. h.c. F. Porsche AG,Weissach,Germany,71287","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080457302","display_name":"Eric Sax","orcid":"https://orcid.org/0000-0003-2567-2340"},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Eric Sax","raw_affiliation_strings":["head of FZI Research Center for Information Technology, Karlsruhe Institue of Technology (KIT),Karlsruhe,Germany,76131"],"affiliations":[{"raw_affiliation_string":"head of FZI Research Center for Information Technology, Karlsruhe Institue of Technology (KIT),Karlsruhe,Germany,76131","institution_ids":["https://openalex.org/I143379178"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5116732336"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31444405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1426","last_page":"1433"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9882000088691711,"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"}},"topics":[{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9882000088691711,"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"}},{"id":"https://openalex.org/T12081","display_name":"Aerodynamics and Fluid Dynamics Research","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11371","display_name":"Wind and Air Flow Studies","score":0.9803000092506409,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5789197087287903},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.5199381113052368},{"id":"https://openalex.org/keywords/weather-prediction","display_name":"Weather prediction","score":0.43945932388305664},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.4146745204925537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40211305022239685},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3625530004501343},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13475927710533142},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11161568760871887}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5789197087287903},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5199381113052368},{"id":"https://openalex.org/C2987469573","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather prediction","level":2,"score":0.43945932388305664},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.4146745204925537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40211305022239685},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3625530004501343},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13475927710533142},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11161568760871887}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10919566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1994981060","https://openalex.org/W2026754215","https://openalex.org/W2092966596","https://openalex.org/W2318290996","https://openalex.org/W2512699200","https://openalex.org/W2605116113","https://openalex.org/W2621172385","https://openalex.org/W2795330725","https://openalex.org/W2897696915","https://openalex.org/W3043626959","https://openalex.org/W3101245645","https://openalex.org/W3132656955","https://openalex.org/W4241300954","https://openalex.org/W4280626954","https://openalex.org/W4286251255","https://openalex.org/W4362676785"],"related_works":["https://openalex.org/W4377970672","https://openalex.org/W2970320467","https://openalex.org/W4391877217","https://openalex.org/W2958561312","https://openalex.org/W2958409700","https://openalex.org/W4223932376","https://openalex.org/W2618707070","https://openalex.org/W361600514","https://openalex.org/W3037247764","https://openalex.org/W2013312557"],"abstract_inverted_index":{"Weather":[0],"conditions":[1],"along":[2,33,104,151,180],"a":[3,34,105,152,181,195],"route":[4,107],"have":[5],"enormous":[6],"influence":[7],"on":[8,170],"the":[9,30,37,48,55,93,119,122,136,175,189],"energy":[10,138],"demand":[11],"of":[12,160,177,191],"battery":[13],"electric":[14],"vehicles.":[15],"However,":[16],"it":[17],"is":[18,97,108],"difficult":[19],"to":[20,84,92,98,118,147,157,194],"determine":[21],"current":[22],"and":[23,47,115,166],"especially":[24],"future":[25,106],"weather":[26,59,71,76,82,87,102,143,161,192],"conditions,":[27],"in":[28,148,174],"particular":[29],"temperature":[31,49,178],"profile":[32],"route.":[35,153,182],"On":[36,54],"one":[38],"hand":[39],"each":[40],"vehicle":[41,81,123,130,149],"has":[42],"its":[43],"own":[44],"measurement":[45,50],"tolerances,":[46],"can":[51,141,187],"be":[52],"disturbed.":[53],"other":[56],"hand,":[57],"local":[58,64],"stations":[60],"cannot":[61],"accurately":[62],"reflect":[63],"conditions.":[65],"In":[66],"this":[67],"work,":[68],"we":[69],"match":[70],"information":[72,103,144],"from":[73,89],"various":[74],"external":[75,90],"databases":[77],"with":[78],"real":[79,171],"on-board":[80],"measurements":[83,131],"better":[85],"apply":[86],"forecasts":[88],"providers":[91],"vehicle.":[94,196],"The":[95,164],"objective":[96],"ensure":[99],"that":[100,186],"predicted":[101],"processed":[109],"using":[110],"multiple":[111],"linear":[112],"regression":[113],"(MLR)":[114],"made":[116],"available":[117],"system":[120],"as":[121,132,145],"would":[124],"experience":[125],"them":[126],"passing":[127],"by.":[128],"Taking":[129],"ground":[133],"truth":[134],"for":[135],"MLR,":[137],"prediction":[139,179],"models":[140,150],"consider":[142],"inputs":[146],"We":[154,183],"refer":[155],"separately":[156],"two":[158],"methods":[159],"forecast":[162],"utilization.":[163],"implementation":[165],"evaluation":[167],"are":[168],"based":[169],"driving":[172],"data":[173,193],"context":[176],"highlight":[184],"factors":[185],"improve":[188],"assimilation":[190]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
