{"id":"https://openalex.org/W4414348465","doi":"https://doi.org/10.1109/tits.2025.3605287","title":"Score-Based Spatial-Temporal Point Process for Traffic Accident Prediction","display_name":"Score-Based Spatial-Temporal Point Process for Traffic Accident Prediction","publication_year":2025,"publication_date":"2025-09-19","ids":{"openalex":"https://openalex.org/W4414348465","doi":"https://doi.org/10.1109/tits.2025.3605287"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3605287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3605287","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transportation Systems","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/A5008797962","display_name":"Kehua Chen","orcid":"https://orcid.org/0000-0001-8836-1596"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kehua Chen","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8836-1596","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuhao Luo","orcid":"https://orcid.org/0009-0001-1419-9730"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhao Luo","raw_affiliation_strings":["Department of Civil and Environmental Enginerring, University of Wisconsin-Madison, Madison, WI, USA"],"raw_orcid":"https://orcid.org/0009-0001-1419-9730","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Enginerring, University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058410192","display_name":"Meixin Zhu","orcid":"https://orcid.org/0000-0003-3291-3616"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meixin Zhu","raw_affiliation_strings":["School of Transportation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3291-3616","affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaomeng Wang","orcid":"https://orcid.org/0009-0004-9006-0978"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomeng Wang","raw_affiliation_strings":["College of Transport and Communications, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0004-9006-0978","affiliations":[{"raw_affiliation_string":"College of Transport and Communications, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101753501","display_name":"Hong\u2010Cheng Wang","orcid":"https://orcid.org/0000-0002-6555-1722"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongcheng Wang","raw_affiliation_strings":["State Key Laboratory of Urban Water Resource and Environment, School of Eco-Environment, Harbin Institute of Technology Shenzhen, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Urban Water Resource and Environment, School of Eco-Environment, Harbin Institute of Technology Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045705475","display_name":"Hai Yang","orcid":"https://orcid.org/0000-0001-5210-8468"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hai Yang","raw_affiliation_strings":["Civil and Environmental Engineering Department, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-5210-8468","affiliations":[{"raw_affiliation_string":"Civil and Environmental Engineering Department, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.4724,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64354743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"26","issue":"12","first_page":"22974","last_page":"22984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9866999983787537,"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":0.9866999983787537,"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"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9728999733924866,"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":0.9528999924659729,"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/process","display_name":"Process (computing)","score":0.5623999834060669},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46320000290870667},{"id":"https://openalex.org/keywords/marine-safety","display_name":"Marine safety","score":0.41819998621940613},{"id":"https://openalex.org/keywords/accident","display_name":"Accident (philosophy)","score":0.40310001373291016},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.38269999623298645},{"id":"https://openalex.org/keywords/traffic-accident","display_name":"Traffic accident","score":0.37720000743865967}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5623999834060669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5443999767303467},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46320000290870667},{"id":"https://openalex.org/C2984003776","wikidata":"https://www.wikidata.org/wiki/Q6764307","display_name":"Marine safety","level":2,"score":0.41819998621940613},{"id":"https://openalex.org/C2780289543","wikidata":"https://www.wikidata.org/wiki/Q424630","display_name":"Accident (philosophy)","level":2,"score":0.40310001373291016},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.38269999623298645},{"id":"https://openalex.org/C2989506057","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Traffic accident","level":2,"score":0.37720000743865967},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.36890000104904175},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C2985695025","wikidata":"https://www.wikidata.org/wiki/Q4323994","display_name":"Road traffic","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2522999942302704}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tits.2025.3605287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3605287","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transportation Systems","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-169310","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-169310","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3635629119","display_name":null,"funder_award_id":"52302379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4646732317","display_name":null,"funder_award_id":"Project N_HKUST627/18","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Traffic":[0],"prediction":[1,44],"is":[2,45,104],"a":[3,13,36,59,74,81,95,108,122,136],"crucial":[4],"aspect":[5],"of":[6,21,55,70,145,152,176],"modern":[7],"traffic":[8,22,27,42,56,158,177],"management":[9],"and":[10,25,31,80,89,143,180],"has":[11],"been":[12],"research":[14],"focus":[15],"for":[16,41],"decades.":[17],"Unlike":[18],"the":[19,53,67,71,112,128,141,150,172],"forecasting":[20],"flow,":[23],"speed,":[24],"demand,":[26],"accidents":[28,57,178],"occur":[29],"irregularly":[30],"are":[32],"highly":[33],"unpredictable.":[34],"As":[35],"result,":[37],"developing":[38],"theory-based":[39],"methods":[40],"accident":[43,159],"particularly":[46],"challenging.":[47],"In":[48,132],"this":[49],"study,":[50],"we":[51,65,93,120,134],"model":[52,125,154,169],"occurrence":[54],"as":[58,107],"Spatial-Temporal":[60],"Point":[61,77],"Process":[62,78],"(STPP).":[63],"First,":[64],"decompose":[66],"intensity":[68,113],"function":[69,114],"STPP":[72],"into":[73],"Neural":[75],"Temporal":[76],"(NTPP)":[79],"conditional":[82,129],"spatial":[83,130],"distribution.":[84,131],"To":[85],"manage":[86],"both":[87],"discrete":[88],"continuous":[90],"historical":[91],"information,":[92],"propose":[94],"contextual":[96],"embedding":[97],"module":[98,138],"utilizing":[99],"multi-head":[100],"self-attention.":[101],"The":[102,164],"TPP":[103],"then":[105],"modeled":[106],"Hawkes":[109],"Process,":[110],"with":[111],"generated":[115],"by":[116],"neural":[117],"networks.":[118],"Afterwards,":[119],"employ":[121],"score-based":[123],"diffusion":[124],"to":[126,139],"learn":[127],"addition,":[133],"introduce":[135],"co-prediction":[137],"forecast":[140],"severity":[142],"duration":[144],"future":[146],"accidents.":[147],"We":[148],"verify":[149],"effectiveness":[151],"our":[153,168],"based":[155],"on":[156],"real-world":[157],"datasets":[160],"from":[161],"three":[162],"cities.":[163],"results":[165],"demonstrate":[166],"that":[167],"can":[170],"capture":[171],"complicated":[173],"spatial-temporal":[174],"patterns":[175],"well":[179],"outperform":[181],"current":[182],"approaches.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
