{"id":"https://openalex.org/W4411550883","doi":"https://doi.org/10.1109/cscwd64889.2025.11033325","title":"A Traffic Accident Prediction Model Based on Spatio-Temporal Depth Map and Transformer","display_name":"A Traffic Accident Prediction Model Based on Spatio-Temporal Depth Map and Transformer","publication_year":2025,"publication_date":"2025-05-05","ids":{"openalex":"https://openalex.org/W4411550883","doi":"https://doi.org/10.1109/cscwd64889.2025.11033325"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd64889.2025.11033325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5064412021","display_name":"Chaoran Zhou","orcid":"https://orcid.org/0000-0003-0971-7422"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoran Zhou","raw_affiliation_strings":["College of Computer Science and Technology, ChangChun University of Science and Technology,Changchun,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, ChangChun University of Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hekai Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hekai Wang","raw_affiliation_strings":["College of Computer Science and Technology, ChangChun University of Science and Technology,Changchun,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, ChangChun University of Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100686588","display_name":"Jiaxin Yang","orcid":"https://orcid.org/0000-0002-7925-6935"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Yang","raw_affiliation_strings":["College of Computer Science and Technology, ChangChun University of Science and Technology,Changchun,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, ChangChun University of Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054574752","display_name":"Kai\u2010Cheng Yang","orcid":"https://orcid.org/0000-0003-4627-9273"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaicheng Yang","raw_affiliation_strings":["College of Computer Science and Technology, ChangChun University of Science and Technology,Changchun,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, ChangChun University of Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100327327","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0001-5647-2777"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["College of Computer Science and Technology, ChangChun University of Science and Technology,Changchun,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, ChangChun University of Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13350256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2527","last_page":"2532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.96670001745224,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.96670001745224,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.6334115862846375},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5620781183242798},{"id":"https://openalex.org/keywords/road-traffic","display_name":"Road traffic","score":0.4656102955341339},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.44969895482063293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42390814423561096},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3513804078102112},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17146006226539612},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.16290098428726196},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1194562315940857},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08795520663261414},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08418560028076172}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334115862846375},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5620781183242798},{"id":"https://openalex.org/C2985695025","wikidata":"https://www.wikidata.org/wiki/Q4323994","display_name":"Road traffic","level":2,"score":0.4656102955341339},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.44969895482063293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42390814423561096},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3513804078102112},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17146006226539612},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.16290098428726196},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1194562315940857},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08795520663261414},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08418560028076172}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd64889.2025.11033325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G6643747676","display_name":null,"funder_award_id":"YDZJ202301ZYTS422,YDZJ202101ZYTS142","funder_id":"https://openalex.org/F4320310121","funder_display_name":"Natural Science Foundation of Jilin Province"}],"funders":[{"id":"https://openalex.org/F4320310121","display_name":"Natural Science Foundation of Jilin Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2592008540","https://openalex.org/W2613331518","https://openalex.org/W2618757996","https://openalex.org/W2776684385","https://openalex.org/W2900787926","https://openalex.org/W2963737762","https://openalex.org/W2964217160","https://openalex.org/W3003256722","https://openalex.org/W3046330049","https://openalex.org/W3176454305","https://openalex.org/W3203151276","https://openalex.org/W4214520160","https://openalex.org/W4318042288","https://openalex.org/W4323923566","https://openalex.org/W4400762160","https://openalex.org/W6785773631"],"related_works":["https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4312825515","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W2131146434","https://openalex.org/W2951359407","https://openalex.org/W4310420093","https://openalex.org/W4376623224","https://openalex.org/W4387849428"],"abstract_inverted_index":{"As":[0],"a":[1,47],"real-time":[2],"data":[3,96],"sensor":[4],"in":[5],"vehicle":[6],"networks,":[7],"dash":[8],"cams":[9],"capture":[10],"video":[11],"with":[12,83],"both":[13],"static":[14],"(object":[15],"positions,":[16],"scene":[17,32],"layouts)":[18],"and":[19,34,42,57,78,91,123],"dynamic":[20],"(motion":[21],"paths,":[22],"speed":[23],"changes)":[24],"spatio-temporal":[25,39,54],"data.":[26],"Analyzing":[27],"this":[28],"information":[29],"helps":[30],"predict":[31],"changes":[33],"prevent":[35],"accidents.":[36],"To":[37],"improve":[38],"feature":[40,126],"representation":[41],"prediction":[43,50],"accuracy,":[44],"we":[45],"propose":[46],"traffic":[48],"accident":[49],"model":[51,64],"based":[52],"on":[53,104],"depth":[55,67],"maps":[56,68],"Transformer,":[58],"named":[59],"the":[60,98,105,114],"STDMP":[61,99],"model.":[62],"The":[63,108],"creates":[65],"3D":[66],"using":[69],"monocular":[70],"estimation,":[71],"aligns":[72],"spatial-temporal":[73],"features":[74],"through":[75],"two-stream":[76],"architecture,":[77],"integrates":[79],"GRU's":[80],"sequential":[81],"processing":[82],"Transformer's":[84,124],"attention":[85],"mechanism":[86],"for":[87],"precise":[88],"short-term":[89],"tracking":[90],"long-term":[92],"dependency":[93],"modeling.":[94],"Experimental":[95],"shows":[97],"significantly":[100],"outperforms":[101],"baseline":[102],"models":[103],"DAD":[106],"dataset.":[107],"key":[109],"metrics":[110],"(AP:64.3,":[111],"mTTA:4.25)":[112],"confirm":[113],"effective":[115],"combination":[116],"of":[117],"two":[118],"techniques:":[119],"depth-based":[120],"spatial":[121],"modeling":[122],"temporal":[125],"capture.":[127]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}