{"id":"https://openalex.org/W4400231700","doi":"https://doi.org/10.1109/vnc61989.2024.10576009","title":"Analysis of Vulnerable Road User Awareness Message Generation Rules for Pedelecs","display_name":"Analysis of Vulnerable Road User Awareness Message Generation Rules for Pedelecs","publication_year":2024,"publication_date":"2024-05-29","ids":{"openalex":"https://openalex.org/W4400231700","doi":"https://doi.org/10.1109/vnc61989.2024.10576009"},"language":"en","primary_location":{"id":"doi:10.1109/vnc61989.2024.10576009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vnc61989.2024.10576009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Vehicular Networking Conference (VNC)","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/A5099871454","display_name":"Nico Ostendorf","orcid":null},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Nico Ostendorf","raw_affiliation_strings":["Robert Bosch GmbH,Corporate Research,Hildesheim,Germany"],"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH,Corporate Research,Hildesheim,Germany","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005671847","display_name":"Keno Garlichs","orcid":"https://orcid.org/0000-0002-5874-6417"},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Keno Garlichs","raw_affiliation_strings":["Robert Bosch GmbH,Corporate Research,Hildesheim,Germany"],"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH,Corporate Research,Hildesheim,Germany","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070428847","display_name":"Lars Wolf","orcid":"https://orcid.org/0000-0001-9782-7765"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lars C. Wolf","raw_affiliation_strings":["Institute of Operating Systems and Computer Networks, Technische Universit&#x00E4;t Braunschweig,Braunschweig,Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Operating Systems and Computer Networks, Technische Universit&#x00E4;t Braunschweig,Braunschweig,Germany","institution_ids":["https://openalex.org/I94509681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5099871454"],"corresponding_institution_ids":["https://openalex.org/I889804353"],"apc_list":null,"apc_paid":null,"fwci":0.7268,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75747826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.9354000091552734,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.9354000091552734,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6644750237464905},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.41320380568504333},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3318209648132324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6644750237464905},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.41320380568504333},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3318209648132324}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vnc61989.2024.10576009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vnc61989.2024.10576009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Vehicular Networking Conference (VNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2079496932","https://openalex.org/W2128744233","https://openalex.org/W2522745009","https://openalex.org/W2898758372","https://openalex.org/W2952896628","https://openalex.org/W2970451867","https://openalex.org/W2993799773","https://openalex.org/W3015873462","https://openalex.org/W3161606486","https://openalex.org/W4226025096","https://openalex.org/W4293057710","https://openalex.org/W4317418843","https://openalex.org/W4366667834","https://openalex.org/W4378648090","https://openalex.org/W4383340341","https://openalex.org/W4385805196"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Vehicle-to-X":[0,19],"communication":[1],"is":[2,146,155],"increasingly":[3],"focusing":[4],"on":[5,59,83,126,184],"vulnerable":[6,13],"road":[7,14],"users.":[8],"A":[9],"large":[10],"group":[11],"of":[12,35,45,70,76,96,99,105,120,134,144,150,160,167,195,202],"users":[15],"are":[16,81],"pedelecs.":[17],"In":[18],"communication,":[20],"message":[21,77,128],"generation":[22,53,122,129,153,197],"rules":[23,29,54,72,123,154],"play":[24],"an":[25,43,94,161],"important":[26],"role.":[27],"These":[28],"can":[30],"strongly":[31],"influence":[32],"the":[33,38,46,68,71,74,97,100,118,121,127,141,151,158,177,185,192,196,199],"number":[34],"messages":[36],"and":[37,55,73,124,205],"safety.":[39],"This":[40,180],"paper":[41,107,190],"provides":[42],"overview":[44,95],"current":[47,193],"Vulnerable":[48],"Road":[49],"User":[50],"Awareness":[51],"Message":[52],"their":[56],"impact":[57,98,119],"based":[58],"a":[60,132,135,172,206,209],"real":[61],"pedelec":[62],"data":[63,84,143],"set.":[64],"It":[65],"also":[66,125,182],"evaluates":[67],"importance":[69,149,201],"frequency":[75],"generation.":[78],"All":[79],"analyses":[80],"performed":[82],"sets":[85],"with":[86,157],"different":[87,110,152,178,200],"sample":[88,101,111,137,186,211],"rates":[89,112],"in":[90,117],"order":[91],"to":[92,114],"get":[93],"rate.":[102,187,212],"The":[103,148,165],"results":[104],"this":[106,189],"show":[108],"that":[109],"lead":[113],"significant":[115],"differences":[116],"frequency.":[130],"Also":[131],"suggestion":[133,207],"minimum":[136],"rate":[138],"for":[139,208],"recording":[140],"sensor":[142],"pedelecs":[145],"done.":[147],"measured":[156],"help":[159],"information":[162,168],"loss":[163,166,181],"metric.":[164],"caused":[169],"by":[170],"ignoring":[171],"rule":[173,204],"varies":[174],"significantly":[175],"among":[176],"rules.":[179],"depends":[183],"Overall,":[188],"shows":[191],"state":[194],"rules,":[198],"each":[203],"minimal":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
