{"id":"https://openalex.org/W4408701424","doi":"https://doi.org/10.1109/itsc58415.2024.10919751","title":"Individualizable Risk Assessment Map for Planning Automated Vehicle Behaviors Respecting Perceived Safety","display_name":"Individualizable Risk Assessment Map for Planning Automated Vehicle Behaviors Respecting Perceived Safety","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408701424","doi":"https://doi.org/10.1109/itsc58415.2024.10919751"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10919751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919751","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/A5004961175","display_name":"Ji Hwan Park","orcid":"https://orcid.org/0000-0001-9098-3204"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ji Hwan Park","raw_affiliation_strings":["The University of Texas at Austin,Department of Mechanical Engineering"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Department of Mechanical Engineering","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034453623","display_name":"Yanze Zhang","orcid":"https://orcid.org/0000-0001-9121-8336"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanze Zhang","raw_affiliation_strings":["University of North Carolina at Charlotte,Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte,Department of Computer Science","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031632218","display_name":"Wenhao Luo","orcid":"https://orcid.org/0000-0003-4228-5203"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenhao Luo","raw_affiliation_strings":["University of North Carolina at Charlotte,Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte,Department of Computer Science","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100608812","display_name":"Junmin Wang","orcid":"https://orcid.org/0000-0001-7133-7311"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junmin Wang","raw_affiliation_strings":["The University of Texas at Austin,Department of Mechanical Engineering"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Department of Mechanical Engineering","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004961175"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.4115,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63289407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2324","last_page":"2329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"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/T10370","display_name":"Traffic and Road Safety","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5653751492500305},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3395790755748749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3306547999382019},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.17460575699806213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5653751492500305},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3395790755748749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3306547999382019},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.17460575699806213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10919751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919751","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":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G6390307335","display_name":null,"funder_award_id":"2312465,2312466","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1987405988","https://openalex.org/W1987640506","https://openalex.org/W2038256073","https://openalex.org/W2045453819","https://openalex.org/W2105401779","https://openalex.org/W2115334990","https://openalex.org/W2142597925","https://openalex.org/W2528158400","https://openalex.org/W2603645909","https://openalex.org/W2789699693","https://openalex.org/W2891365044","https://openalex.org/W2904810179","https://openalex.org/W2941647785","https://openalex.org/W2990179116","https://openalex.org/W3038423780","https://openalex.org/W4223633542","https://openalex.org/W4225754812","https://openalex.org/W4240514091"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"With":[0],"the":[1,11,21,24,39,44,59,73,79,111,119,143,164,169,189],"continual":[2],"introduction":[3],"of":[4,13,31,46,54,62,122,193],"various":[5],"vehicle":[6,74,140,179],"automation":[7],"functions":[8],"and":[9,16,36,51,68,149,185],"algorithms,":[10],"heterogeneity":[12],"human,":[14],"human-machine,":[15],"machine":[17],"autonomy":[18,33],"associated":[19],"with":[20],"vehicles":[22,30,85,108,125,148],"on":[23,126],"roads":[25,40],"elevates":[26],"as":[27,182],"well.":[28],"Ensuring":[29],"heterogeneous":[32],"to":[34,58,76,109,162],"safely":[35],"harmoniously":[37],"share":[38],"is":[41,86],"important":[42],"for":[43,177],"interests":[45],"driving":[47,120,157],"safety,":[48],"traffic":[49],"throughput,":[50],"human":[52,65,156],"acceptance":[53],"autonomy.":[55],"Particularly":[56],"due":[57],"wide":[60],"range":[61],"variations":[63],"in":[64,70],"perceived":[66,80,151,191],"safety":[67,152,192],"risk":[69,81,101,112,135,165],"driving,":[71],"empowering":[72],"intelligence":[75],"accurately":[77],"understand":[78],"by":[82,141,168],"other":[83,123],"surrounding":[84,124,195],"a":[87,127,133,139],"critical":[88],"step":[89],"towards":[90],"harmonious":[91],"road":[92],"sharing.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97],"present":[98],"an":[99],"individualizable":[100],"assessment":[102,136],"model":[103],"(IRAM)":[104],"that":[105,114,187],"can":[106,174],"empower":[107],"compute":[110],"maps":[113],"individual":[115],"drivers":[116],"perceive":[117],"from":[118],"behaviors":[121],"shared":[128],"road.":[129],"The":[130,172],"IRAM":[131,173],"offers":[132],"realistic":[134],"map":[137,166],"around":[138],"integrating":[142],"relative":[144],"motions":[145],"between":[146],"pertinent":[147],"drivers'":[150],"preferences.":[153],"A":[154],"naturalistic":[155],"dataset,":[158],"NGSIM,":[159],"was":[160],"utilized":[161],"evaluate":[163],"generation":[167],"proposed":[170],"IRAM.":[171],"be":[175],"used":[176],"planning":[178],"behaviors,":[180],"such":[181],"its":[183,194],"path":[184],"motion,":[186],"respect":[188],"different":[190],"vehicles'":[196],"human/machine":[197],"drivers.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}