{"id":"https://openalex.org/W4360770758","doi":"https://doi.org/10.1109/tiv.2023.3260902","title":"The AD4CHE Dataset and Its Application in Typical Congestion Scenarios of Traffic Jam Pilot Systems","display_name":"The AD4CHE Dataset and Its Application in Typical Congestion Scenarios of Traffic Jam Pilot Systems","publication_year":2023,"publication_date":"2023-03-23","ids":{"openalex":"https://openalex.org/W4360770758","doi":"https://doi.org/10.1109/tiv.2023.3260902"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2023.3260902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3260902","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-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/A5100398039","display_name":"Yuxin Zhang","orcid":"https://orcid.org/0000-0003-0469-695X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4392738231","display_name":"State Key Laboratory of Automotive Simulation and Control","ror":"https://ror.org/00b67z867","country_code":null,"type":"facility","lineage":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Zhang","raw_affiliation_strings":["State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0003-0469-695X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417008","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0002-5309-8115"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["Autonomous Agents Research Group, University of Edinburgh, Edinburgh, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5309-8115","affiliations":[{"raw_affiliation_string":"Autonomous Agents Research Group, University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068066678","display_name":"Ruilin Yu","orcid":"https://orcid.org/0000-0003-2993-6438"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4392738231","display_name":"State Key Laboratory of Automotive Simulation and Control","ror":"https://ror.org/00b67z867","country_code":null,"type":"facility","lineage":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruilin Yu","raw_affiliation_strings":["State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385091","display_name":"Luyao Wang","orcid":"https://orcid.org/0000-0001-7378-8343"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4392738231","display_name":"State Key Laboratory of Automotive Simulation and Control","ror":"https://ror.org/00b67z867","country_code":null,"type":"facility","lineage":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyao Wang","raw_affiliation_strings":["State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769563","display_name":"Wei Quan","orcid":"https://orcid.org/0000-0002-4923-4217"},"institutions":[{"id":"https://openalex.org/I4210148944","display_name":"D\u00e0-Ji\u0101ng Innovations Science and Technology (China)","ror":"https://ror.org/04fmkfb67","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210148944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Quan","raw_affiliation_strings":["DJI Automotive, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DJI Automotive, Shenzhen, China","institution_ids":["https://openalex.org/I4210148944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038207720","display_name":"Yang Gao","orcid":"https://orcid.org/0000-0002-2150-5986"},"institutions":[{"id":"https://openalex.org/I4210148944","display_name":"D\u00e0-Ji\u0101ng Innovations Science and Technology (China)","ror":"https://ror.org/04fmkfb67","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210148944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Gao","raw_affiliation_strings":["DJI Automotive, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DJI Automotive, Shenzhen, China","institution_ids":["https://openalex.org/I4210148944"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339792","display_name":"Pengfei Li","orcid":"https://orcid.org/0009-0009-8114-6207"},"institutions":[{"id":"https://openalex.org/I4210148944","display_name":"D\u00e0-Ji\u0101ng Innovations Science and Technology (China)","ror":"https://ror.org/04fmkfb67","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210148944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Li","raw_affiliation_strings":["DJI Automotive, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DJI Automotive, Shenzhen, China","institution_ids":["https://openalex.org/I4210148944"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9834,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.94246345,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"8","issue":"5","first_page":"3312","last_page":"3323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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":0.9998000264167786,"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/T10524","display_name":"Traffic control and management","score":0.9990000128746033,"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":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6292273998260498},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5709465742111206},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5500662326812744},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5464670658111572},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4677306115627289},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.42730802297592163},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14336273074150085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0958799421787262},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0811692476272583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6292273998260498},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5709465742111206},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5500662326812744},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5464670658111572},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4677306115627289},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.42730802297592163},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14336273074150085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0958799421787262},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0811692476272583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tiv.2023.3260902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3260902","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3257301932","display_name":null,"funder_award_id":"52075213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W2014268383","https://openalex.org/W2100539823","https://openalex.org/W2115579991","https://openalex.org/W2298542189","https://openalex.org/W2519586580","https://openalex.org/W2584539651","https://openalex.org/W2793042952","https://openalex.org/W2885911069","https://openalex.org/W2892614179","https://openalex.org/W2896642734","https://openalex.org/W2918366161","https://openalex.org/W2921180939","https://openalex.org/W2962766617","https://openalex.org/W2963184890","https://openalex.org/W2963657083","https://openalex.org/W2968296999","https://openalex.org/W2980087597","https://openalex.org/W2989798627","https://openalex.org/W2991138066","https://openalex.org/W2991158008","https://openalex.org/W2996388770","https://openalex.org/W3027939032","https://openalex.org/W3035172746","https://openalex.org/W3035791514","https://openalex.org/W3043790790","https://openalex.org/W3104679956","https://openalex.org/W3114563362","https://openalex.org/W3114705373","https://openalex.org/W3117590843","https://openalex.org/W3118240751","https://openalex.org/W3119236961","https://openalex.org/W3120881882","https://openalex.org/W3132602836","https://openalex.org/W3152356823","https://openalex.org/W3165538189","https://openalex.org/W3177793471","https://openalex.org/W3182687087","https://openalex.org/W3206397101","https://openalex.org/W3209085841","https://openalex.org/W3209562653","https://openalex.org/W3210326465","https://openalex.org/W4213436837","https://openalex.org/W4225524751","https://openalex.org/W4225553088","https://openalex.org/W4225555528","https://openalex.org/W4225565707","https://openalex.org/W4226154425","https://openalex.org/W4281944298","https://openalex.org/W4286285558","https://openalex.org/W4286285572","https://openalex.org/W4287827698","https://openalex.org/W4290043203","https://openalex.org/W4296425724","https://openalex.org/W4308079998","https://openalex.org/W4308080616","https://openalex.org/W4312238169","https://openalex.org/W4312517780","https://openalex.org/W6726469348","https://openalex.org/W6768870957","https://openalex.org/W6840446716","https://openalex.org/W7001061958"],"related_works":["https://openalex.org/W1951523897","https://openalex.org/W2049836196","https://openalex.org/W2790296228","https://openalex.org/W2075192183","https://openalex.org/W2565976481","https://openalex.org/W2386603188","https://openalex.org/W582212118","https://openalex.org/W648823617","https://openalex.org/W574461432","https://openalex.org/W614405626"],"abstract_inverted_index":{"Autonomous":[0],"driving":[1,37,41,86,134,174],"has":[2],"attracted":[3],"considerable":[4],"attention":[5],"from":[6,77],"research":[7],"and":[8,22,34,93,114,159,173,181],"industry":[9],"communities.":[10],"Although":[11],"prototypes":[12],"of":[13,73,88,109,156],"automated":[14],"vehicles":[15],"(AVs)":[16],"are":[17,43,97,112],"developed,":[18],"remaining":[19],"safety":[20],"issues":[21],"functional":[23],"insufficiencies":[24],"hinder":[25],"their":[26],"market":[27],"introduction.":[28],"To":[29],"obtain":[30],"reasonably":[31],"foreseeable":[32],"scenarios":[33,52,96,111,139],"study":[35],"human":[36],"policies,":[38],"many":[39],"naturalistic":[40],"datasets":[42],"proposed.":[44],"However,":[45],"no":[46],"open-source":[47],"dataset":[48],"filled":[49],"with":[50,83,165],"congestion":[51,105],"is":[53,121,140],"publicly":[54],"available.":[55],"The":[56,116,143],"paper":[57],"presents":[58],"the":[59,128,133,147,160,166],"Aerial":[60],"Dataset":[61],"for":[62,127],"China's":[63],"Congested":[64],"Highways":[65],"&":[66],"Expressways":[67],"(AD4CHE).":[68],"It":[69],"contains":[70],"5.12":[71],"hours":[72],"aerial":[74],"survey":[75],"data":[76],"four":[78],"different":[79],"cities":[80],"in":[81,104,136,189],"China,":[82],"a":[84],"total":[85],"distance":[87,163],"6540.7":[89],"km.":[90],"Moreover,":[91],"overlap":[92,137,154],"non-overlap":[94],"cut-in":[95,110,138,155],"distinguished":[98],"to":[99,123,179],"better":[100],"describe":[101],"driver":[102],"behavior":[103,135,175],"scenarios.":[106],"Both":[107,170],"types":[108],"extracted":[113],"parameterized.":[115],"Kernel":[117],"Density":[118],"Estimator":[119],"(KDE)":[120],"utilized":[122],"generate":[124],"parameter":[125],"distributions":[126],"scenario-based":[129],"testing":[130],"method.":[131],"Furthermore,":[132],"intensively":[141],"analyzed.":[142],"results":[144],"reveal":[145],"that":[146],"drivers":[148],"have":[149],"an":[150],"evasive":[151],"maneuver":[152],"during":[153],"challenging":[157],"vehicles,":[158],"preferred":[161],"following":[162],"varies":[164],"relative":[167],"longitudinal":[168],"velocity.":[169],"scenario":[171],"parameterization":[172],"analysis":[176],"can":[177],"contribute":[178],"developing":[180],"verifying":[182],"Traffic":[183],"Jam":[184],"Pilot":[185],"(TJP)":[186],"systems":[187],"deployed":[188],"Chinese":[190],"traffic":[191],"situations.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
