{"id":"https://openalex.org/W3114476635","doi":"https://doi.org/10.1109/itsc45102.2020.9294674","title":"Estimating the Likelihood of Reaching a Road Target Using Multiple Lane Changes for Driver Assistance","display_name":"Estimating the Likelihood of Reaching a Road Target Using Multiple Lane Changes for Driver Assistance","publication_year":2020,"publication_date":"2020-09-20","ids":{"openalex":"https://openalex.org/W3114476635","doi":"https://doi.org/10.1109/itsc45102.2020.9294674","mag":"3114476635"},"language":"en","primary_location":{"id":"doi:10.1109/itsc45102.2020.9294674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc45102.2020.9294674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 23rd 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/A5082455270","display_name":"Goodarz Mehr","orcid":"https://orcid.org/0000-0002-9990-5074"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Goodarz Mehr","raw_affiliation_strings":["Autonomous Systems and Intelligent Machines (ASIM) Lab, Virginia Tech, Blacksburg, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autonomous Systems and Intelligent Machines (ASIM) Lab, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014199018","display_name":"Azim Eskandarian","orcid":"https://orcid.org/0000-0002-4117-7692"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Azim Eskandarian","raw_affiliation_strings":["Autonomous Systems and Intelligent Machines (ASIM) Lab, Virginia Tech, Blacksburg, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autonomous Systems and Intelligent Machines (ASIM) Lab, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.149,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49069197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10524","display_name":"Traffic control and management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9986000061035156,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.6365269422531128},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5875269174575806},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5814286470413208},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5093218088150024},{"id":"https://openalex.org/keywords/lane-departure-warning-system","display_name":"Lane departure warning system","score":0.5079782605171204},{"id":"https://openalex.org/keywords/road-traffic","display_name":"Road traffic","score":0.4859296381473541},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.41404855251312256},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21976009011268616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1790085732936859},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16471737623214722}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6365269422531128},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5875269174575806},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5814286470413208},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5093218088150024},{"id":"https://openalex.org/C151043444","wikidata":"https://www.wikidata.org/wiki/Q28253","display_name":"Lane departure warning system","level":2,"score":0.5079782605171204},{"id":"https://openalex.org/C2985695025","wikidata":"https://www.wikidata.org/wiki/Q4323994","display_name":"Road traffic","level":2,"score":0.4859296381473541},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.41404855251312256},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21976009011268616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1790085732936859},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16471737623214722},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc45102.2020.9294674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc45102.2020.9294674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","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":18,"referenced_works":["https://openalex.org/W73930630","https://openalex.org/W631263868","https://openalex.org/W1528653255","https://openalex.org/W1898348870","https://openalex.org/W1981976524","https://openalex.org/W2011931151","https://openalex.org/W2056877664","https://openalex.org/W2081328889","https://openalex.org/W2155666262","https://openalex.org/W2199828100","https://openalex.org/W2736502650","https://openalex.org/W2740361510","https://openalex.org/W2770017764","https://openalex.org/W2886549309","https://openalex.org/W2890883362","https://openalex.org/W2962831329","https://openalex.org/W2976328785","https://openalex.org/W6603016791"],"related_works":["https://openalex.org/W3139645606","https://openalex.org/W2745410201","https://openalex.org/W1980082849","https://openalex.org/W580929820","https://openalex.org/W3191368963","https://openalex.org/W2385118824","https://openalex.org/W2115276726","https://openalex.org/W1185300216","https://openalex.org/W2785677628","https://openalex.org/W2359476137"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,11,53,74],"model":[4,48,87],"to":[5,25,62,71,94],"estimate":[6],"the":[7,15,80,86,99,105],"probability":[8],"of":[9,77,82,101],"reaching":[10],"target":[12],"position":[13],"on":[14,22,104],"road":[16,55],"using":[17,79],"multiple":[18],"lane":[19],"changes":[20],"based":[21],"parameters":[23,103],"corresponding":[24],"traffic":[26,45,58],"flow":[27],"and":[28,44,98],"driving":[29],"behavior.":[30],"Knowing":[31],"this":[32],"information":[33],"can":[34],"help":[35],"design":[36],"advance":[37],"warning":[38],"systems":[39],"that":[40],"increase":[41],"driver":[42],"safety":[43],"efficiency.":[46],"The":[47],"is":[49,68,88],"first":[50],"developed":[51],"for":[52],"two-lane":[54],"segment":[56],"where":[57],"conditions":[59],"are":[60],"simplified":[61],"reach":[63],"an":[64],"abstract":[65],"formulation.":[66],"It":[67],"then":[69],"extended":[70],"cases":[72,93],"with":[73],"higher":[75],"number":[76],"lanes":[78],"law":[81],"total":[83],"probability.":[84],"Finally,":[85],"used":[89],"in":[90],"two":[91],"sample":[92],"illustrate":[95],"its":[96],"predictions":[97],"effect":[100],"different":[102],"results.":[106]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}