{"id":"https://openalex.org/W4408700452","doi":"https://doi.org/10.1109/itsc58415.2024.10919554","title":"TREMP: Field-Based Traffic Risk Evaluation Considering Interactive Motion Prediction","display_name":"TREMP: Field-Based Traffic Risk Evaluation Considering Interactive Motion Prediction","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408700452","doi":"https://doi.org/10.1109/itsc58415.2024.10919554"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10919554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919554","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":"conference-paper","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/A5012897596","display_name":"Yining Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yining Xing","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023245848","display_name":"Mengchi Cai","orcid":"https://orcid.org/0000-0002-8681-7067"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengchi Cai","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043301717","display_name":"Yifeng Tu","orcid":"https://orcid.org/0000-0002-9630-4986"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqian Tu","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101826617","display_name":"Yuning Wang","orcid":"https://orcid.org/0000-0003-2087-2503"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuning Wang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101993415","display_name":"Junkai Jiang","orcid":"https://orcid.org/0009-0002-8059-1420"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junkai Jiang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102071703","display_name":"Qingwen Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwen Meng","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100436368","display_name":"Jianqiang Wang","orcid":"https://orcid.org/0000-0003-4363-6108"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Wang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1551","last_page":"1556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.651759922504425},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.579755961894989},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5006923675537109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3277782201766968},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10064852237701416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.651759922504425},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.579755961894989},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5006923675537109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3277782201766968},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10064852237701416},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10919554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919554","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":0.49000000953674316,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2069585562","https://openalex.org/W2083440308","https://openalex.org/W2088173505","https://openalex.org/W2092187344","https://openalex.org/W2967833234","https://openalex.org/W2980634361","https://openalex.org/W3034722190","https://openalex.org/W3046712144","https://openalex.org/W3048286597","https://openalex.org/W3120263807","https://openalex.org/W3195422000","https://openalex.org/W4220782574","https://openalex.org/W4280599511","https://openalex.org/W4381328400","https://openalex.org/W4381556596","https://openalex.org/W4387156877","https://openalex.org/W4390604996","https://openalex.org/W4400647332","https://openalex.org/W4400873884","https://openalex.org/W6853629474"],"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":{"Traffic":[0],"risk":[1,29,53,110,123,138,145],"evaluation":[2,30,54,124,155],"is":[3,16],"a":[4,51,122,149],"critical":[5],"technology":[6],"in":[7,132],"traffic":[8,52,165],"management":[9],"and":[10,74,97,140,157],"autonomous":[11],"driving.":[12],"The":[13,61],"key":[14],"challenge":[15],"to":[17,40,67,90],"identify":[18],"the":[19,35,69,75,81,92,99,105,109,115,134,141,153],"potential":[20,70],"intentions":[21,71,116],"of":[22,38,72,77,83,94,111,117,137,164],"agents":[23,96],"that":[24],"may":[25],"generate":[26],"risks.":[27,84,166],"Traditional":[28],"methods":[31],"often":[32],"rely":[33],"on":[34,104],"current":[36],"state":[37],"vehicles":[39,103],"infer":[41],"their":[42],"future":[43,118],"intentions,":[44],"which":[45],"lacks":[46],"accuracy.":[47],"This":[48],"paper":[49],"proposes":[50],"method":[55],"considering":[56,126],"interactive":[57],"motion":[58],"prediction":[59,63,78],"(TREMP).":[60],"trajectory":[62,127],"results":[64],"are":[65],"used":[66],"represent":[68],"vehicles,":[73],"distribution":[76,93],"errors":[79],"characterizes":[80],"spread":[82],"Additionally,":[85],"we":[86,120],"utilize":[87],"real-world":[88],"datasets":[89],"analyze":[91],"surrounding":[95],"model":[98,125],"risks":[100,154],"generated":[101],"by":[102],"road.":[106],"By":[107],"integrating":[108],"each":[112],"moment":[113],"with":[114],"moments,":[119],"construct":[121],"prediction.":[128],"Experiments":[129],"shows":[130],"improvements":[131],"both":[133],"misdetection":[135],"rate":[136],"identification":[139],"advance":[142],"time":[143],"for":[144],"detection.":[146],"Examples":[147],"illustrate":[148],"strong":[150],"correlation":[151],"between":[152],"result":[156],"actual":[158],"driver":[159],"behavior,":[160],"enabling":[161],"accurate":[162],"analysis":[163]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
