{"id":"https://openalex.org/W4389935346","doi":"https://doi.org/10.1145/3615899.3627934","title":"Incident congestion propagation prediction using incident reports","display_name":"Incident congestion propagation prediction using incident reports","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4389935346","doi":"https://doi.org/10.1145/3615899.3627934"},"language":"en","primary_location":{"id":"doi:10.1145/3615899.3627934","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3615899.3627934","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3615899.3627934","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3615899.3627934","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090142243","display_name":"Mathias Niemann Tygesen","orcid":"https://orcid.org/0000-0002-8032-4122"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Mathias Niemann Tygesen","raw_affiliation_strings":["Technical University of Denmark, Kgs. Lyngby, Denmark"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark, Kgs. Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090260484","display_name":"Mayank Sharan","orcid":"https://orcid.org/0000-0003-1497-9224"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mayank Sharan","raw_affiliation_strings":["University of California, San Diego, San Diego, California, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego, San Diego, California, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001424439","display_name":"Francisco C. Pereira","orcid":"https://orcid.org/0000-0001-5457-9909"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Francisco C. Pereira","raw_affiliation_strings":["Technical University of Denmark, Kgs. Lyngby, Denmark"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark, Kgs. Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078981714","display_name":"Filipe Rodrigues","orcid":"https://orcid.org/0000-0001-6979-6498"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Filipe Rodrigues","raw_affiliation_strings":["Technical University of Denmark, Kgs. Lyngby, Denmark"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark, Kgs. Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057778679","display_name":"Rose Yu","orcid":"https://orcid.org/0000-0002-8491-7937"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rose Yu","raw_affiliation_strings":["University of California, San Diego, San Diego, California, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego, San Diego, California, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090142243"],"corresponding_institution_ids":["https://openalex.org/I96673099"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19911535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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/T10524","display_name":"Traffic control and management","score":0.9965999722480774,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7507798075675964},{"id":"https://openalex.org/keywords/incident-management","display_name":"Incident management","score":0.7086403965950012},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.6665343046188354},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5816962122917175},{"id":"https://openalex.org/keywords/incident-report","display_name":"Incident report","score":0.5091866850852966},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4808819591999054},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4695079028606415},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.45910337567329407},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37599486112594604},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21513566374778748},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2135358452796936},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2069907784461975},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13511589169502258},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1340254843235016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7507798075675964},{"id":"https://openalex.org/C2780952636","wikidata":"https://www.wikidata.org/wiki/Q13479512","display_name":"Incident management","level":2,"score":0.7086403965950012},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.6665343046188354},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5816962122917175},{"id":"https://openalex.org/C2909164965","wikidata":"https://www.wikidata.org/wiki/Q6014597","display_name":"Incident report","level":2,"score":0.5091866850852966},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4808819591999054},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4695079028606415},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.45910337567329407},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37599486112594604},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21513566374778748},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2135358452796936},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2069907784461975},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13511589169502258},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1340254843235016},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3615899.3627934","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3615899.3627934","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3615899.3627934","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/48e8d1ee-e3f7-4bf1-b38b-5545fb666759","is_oa":true,"landing_page_url":"https://orbit.dtu.dk/en/publications/48e8d1ee-e3f7-4bf1-b38b-5545fb666759","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Niemann Tygesen , M , Sharan , M , Pereira , F C , Rodrigues , F & Yu , R 2023 , Incident congestion propagation prediction using incident reports . in Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility . pp. 33-42 , 1 st ACM SIGSPATIAL International Workshop on Sustainable Mobility , Hamburg , Hamburg , Germany , 13/11/2023 . https://doi.org/10.1145/3615899.3627934","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"doi:10.1145/3615899.3627934","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3615899.3627934","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3615899.3627934","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6800000071525574}],"awards":[{"id":"https://openalex.org/G4956428346","display_name":null,"funder_award_id":"Horizon 2020 research and innovatio","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8837722428","display_name":null,"funder_award_id":"875530","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389935346.pdf","grobid_xml":"https://content.openalex.org/works/W4389935346.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2057427644","https://openalex.org/W2794992164","https://openalex.org/W2809366716","https://openalex.org/W2903709398","https://openalex.org/W2916932086","https://openalex.org/W2950817888","https://openalex.org/W3010197875","https://openalex.org/W3021626758","https://openalex.org/W3025785007","https://openalex.org/W3080284469","https://openalex.org/W3098219276","https://openalex.org/W3115402710","https://openalex.org/W3123909522","https://openalex.org/W3160580624","https://openalex.org/W3168666980","https://openalex.org/W3169526582","https://openalex.org/W3170140111","https://openalex.org/W4243532479","https://openalex.org/W4310010632"],"related_works":["https://openalex.org/W612990953","https://openalex.org/W2130971175","https://openalex.org/W2194065155","https://openalex.org/W2169556851","https://openalex.org/W2088796177","https://openalex.org/W765319225","https://openalex.org/W377833947","https://openalex.org/W2120031687","https://openalex.org/W4390987329","https://openalex.org/W2361581724"],"abstract_inverted_index":{"Accurate":[0],"predictions":[1,55],"of":[2,22],"how":[3],"congestion":[4,65,98,129],"propagates":[5],"are":[6,51,56],"essential":[7],"for":[8,66,128,179],"mitigating":[9],"its":[10],"effects":[11],"on":[12,28],"traffic":[13,24,30,54,60,79,109,137],"and":[14,32,78,96,104,140,156],"the":[15,19,37,46,135],"urban":[16],"environment.":[17],"However,":[18],"vast":[20],"majority":[21],"state-of-the-art":[23,172],"prediction":[25],"models":[26,61,127,158,174],"focus":[27],"regular":[29],"scenarios":[31],"struggle":[33,62],"to":[34,36],"adapt":[35],"conditions":[38],"following":[39],"incidents.":[40],"This":[41],"is":[42,84],"particularly":[43],"problematic":[44],"since":[45],"irregular":[47],"periods":[48],"after":[49],"incidents":[50,95],"arguably":[52],"when":[53],"most":[57],"critical.":[58],"Current":[59],"with":[63,112,143],"non-recurring":[64],"two":[67,88],"reasons:":[68],"they":[69],"lack":[70],"inputs":[71],"alerting":[72],"them":[73],"an":[74,100],"incident":[75,82,113,122,146,160,180],"has":[76],"happened,":[77],"data":[80,111,139],"containing":[81],"information":[83,144],"scarce.":[85],"We":[86,115,148],"create":[87],"new":[89],"such":[90],"datasets:":[91],"one":[92],"by":[93,106],"simulating":[94],"their":[97],"in":[99],"open-source":[101],"microscopic":[102],"simulator":[103],"another":[105],"fusing":[107],"real-world":[108],"flow":[110,138],"reports.":[114,147,181],"then":[116],"propose":[117],"a":[118,150],"framework":[119,133,169],"that":[120,167,175],"integrates":[121],"reports":[123,161],"into":[124],"deep":[125],"learning":[126],"propagation":[130],"prediction.":[131],"Our":[132,164],"utilizes":[134],"recent":[136],"fuses":[141],"it":[142],"from":[145],"perform":[149],"detailed":[151],"empirical":[152],"comparison":[153],"between":[154],"recurrent":[155],"graph-based":[157,173],"utilizing":[159],"against":[162],"baselines.":[163],"study":[165],"demonstrates":[166],"our":[168],"significantly":[170],"outperforms":[171],"do":[176],"not":[177],"account":[178]},"counts_by_year":[],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}