{"id":"https://openalex.org/W4391768799","doi":"https://doi.org/10.1109/itsc57777.2023.10422285","title":"A Global Search Problem on the Calibration of Two-regime Stochastic Car-Following Model","display_name":"A Global Search Problem on the Calibration of Two-regime Stochastic Car-Following Model","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391768799","doi":"https://doi.org/10.1109/itsc57777.2023.10422285"},"language":"en","primary_location":{"id":"doi:10.1109/itsc57777.2023.10422285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th 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/A5033043415","display_name":"Garyoung Lee","orcid":"https://orcid.org/0000-0002-2647-7339"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Garyoung Lee","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA,United States","Georgia Institute of Technology, Atlanta, GA, United States"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA,United States","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, United States","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023161433","display_name":"Jorge Laval","orcid":"https://orcid.org/0000-0002-0986-4046"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jorge Laval","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA,United States","Georgia Institute of Technology, Atlanta, GA, United States"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA,United States","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, United States","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048737692","display_name":"Danjue Chen","orcid":"https://orcid.org/0000-0003-4170-0276"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danjue Chen","raw_affiliation_strings":["University of Massachusetts,Lowell, Boston,MA,United States","University of Massachusetts, Lowell, Boston, MA, United States"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts,Lowell, Boston,MA,United States","institution_ids":["https://openalex.org/I133738476"]},{"raw_affiliation_string":"University of Massachusetts, Lowell, Boston, MA, United States","institution_ids":["https://openalex.org/I133738476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033043415"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.115,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45632089,"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":"4544","last_page":"4549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9146999716758728,"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":0.9146999716758728,"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/T12617","display_name":"Energy, Environment, and Transportation Policies","score":0.9014999866485596,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6873496770858765},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5319607257843018},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4078022241592407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22218680381774902},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09775513410568237}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6873496770858765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5319607257843018},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4078022241592407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22218680381774902},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09775513410568237}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc57777.2023.10422285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G4301840812","display_name":null,"funder_award_id":"1932451","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":33,"referenced_works":["https://openalex.org/W1659842140","https://openalex.org/W2014457895","https://openalex.org/W2018697056","https://openalex.org/W2022081648","https://openalex.org/W2044519836","https://openalex.org/W2046482177","https://openalex.org/W2053437352","https://openalex.org/W2054210802","https://openalex.org/W2059461096","https://openalex.org/W2077148019","https://openalex.org/W2097571405","https://openalex.org/W2100184175","https://openalex.org/W2100411291","https://openalex.org/W2114013702","https://openalex.org/W2125045760","https://openalex.org/W2126270075","https://openalex.org/W2151554678","https://openalex.org/W2344057403","https://openalex.org/W2344541740","https://openalex.org/W2487175822","https://openalex.org/W2889984781","https://openalex.org/W2907077230","https://openalex.org/W2948386369","https://openalex.org/W2956800736","https://openalex.org/W2965159070","https://openalex.org/W2991222850","https://openalex.org/W3008320561","https://openalex.org/W3093733364","https://openalex.org/W3150181197","https://openalex.org/W3161173630","https://openalex.org/W3169975582","https://openalex.org/W3176169521","https://openalex.org/W4391248670"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"The":[0],"challenges":[1],"of":[2,11,40,52,72,144],"car-following":[3,36],"model":[4],"parameter":[5,115],"estimation":[6,55],"arise":[7],"from":[8],"the":[9,14,29,33,38,50,58,61,66,74,80,107,129,137,142,154],"complexity":[10],"models":[12],"and":[13,57,65,117],"necessity":[15],"to":[16,23,44,99,102,127],"find":[17],"an":[18],"optimal":[19],"calibration":[20,138],"method":[21,64],"tailored":[22],"its":[24,100],"characteristics.":[25],"This":[26],"study":[27],"investigates":[28],"difficulties":[30],"in":[31,120,152],"calibrating":[32],"two-regime":[34],"stochastic":[35],"model,":[37],"parameters":[39],"which":[41],"are":[42],"yet":[43],"be":[45],"robustly":[46],"estimated.":[47],"We":[48,134],"identify":[49],"limitations":[51],"maximum":[53],"likelihood":[54,75,81],"(MLE)":[56],"trade-offs":[59],"between":[60],"numerical":[62,89],"optimization":[63,90,145],"genetic":[67,108],"algorithm":[68,109],"as":[69],"a":[70,88],"means":[71],"maximizing":[73],"function.":[76],"Results":[77],"show":[78],"that":[79,136],"maximized":[82],"by":[83],"Powell's":[84],"conjugate":[85],"direction":[86],"method,":[87],"technique,":[91,146],"can":[92],"easily":[93],"fall":[94],"into":[95],"local":[96,122],"maxima":[97],"due":[98],"sensitivity":[101],"initial":[103,114],"parameters.":[104],"In":[105],"contrast,":[106],"demonstrates":[110],"heightened":[111],"robustness":[112,149],"against":[113],"variations":[116],"is":[118],"adept":[119],"escaping":[121],"optima,":[123],"although":[124],"it":[125],"fails":[126],"locate":[128],"ultimate":[130],"global":[131],"optimum":[132],"effectively.":[133],"suggest":[135],"objective":[139],"could":[140],"guide":[141],"choice":[143],"potentially":[147],"favoring":[148],"or":[150],"precision":[151],"locating":[153],"optimum.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}