{"id":"https://openalex.org/W4409814440","doi":"https://doi.org/10.1016/j.procs.2025.03.008","title":"Risk Management in Transportation Systems: How Big Data Can Help Predict Behaviors and Events","display_name":"Risk Management in Transportation Systems: How Big Data Can Help Predict Behaviors and Events","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409814440","doi":"https://doi.org/10.1016/j.procs.2025.03.008"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2025.03.008","doi":"https://doi.org/10.1016/j.procs.2025.03.008","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.03.008","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2025.03.008","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033826013","display_name":"Giulia Martino","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giulia Martino","raw_affiliation_strings":["Univeristy of Calabria, Rende 87036, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univeristy of Calabria, Rende 87036, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064882097","display_name":"Vittorio Astarita","orcid":"https://orcid.org/0000-0002-3673-9814","observed_orcids":["https://orcid.org/0000-0002-3673-9814"]},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vittorio Astarita","raw_affiliation_strings":["Univeristy of Calabria, Rende 87036, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univeristy of Calabria, Rende 87036, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084408557","display_name":"Giuseppe Guido","orcid":"https://orcid.org/0000-0001-7570-4123","observed_orcids":["https://orcid.org/0000-0001-7570-4123"]},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Guido","raw_affiliation_strings":["Univeristy of Calabria, Rende 87036, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univeristy of Calabria, Rende 87036, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043838801","display_name":"Sina Shaffiee Haghshenas","orcid":"https://orcid.org/0000-0003-2859-3920","observed_orcids":["https://orcid.org/0000-0003-2859-3920"]},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sina Shaffiee Haghshenas","raw_affiliation_strings":["Univeristy of Calabria, Rende 87036, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univeristy of Calabria, Rende 87036, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074223541","display_name":"Sami Shaffiee Haghshenas","orcid":"https://orcid.org/0000-0002-9301-8677","observed_orcids":["https://orcid.org/0000-0002-9301-8677"]},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sami Shaffiee Haghshenas","raw_affiliation_strings":["Univeristy of Calabria, Rende 87036, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univeristy of Calabria, Rende 87036, Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5033826013"],"corresponding_institution_ids":["https://openalex.org/I45204951"],"apc_list":null,"apc_paid":null,"fwci":8.1875,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96944621,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"257","issue":null,"first_page":"39","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.2734000086784363,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.2734000086784363,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.24060000479221344,"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"}},{"id":"https://openalex.org/T10747","display_name":"Disaster Management and Resilience","score":0.13490000367164612,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/big-data","display_name":"big data","score":0.9539999961853027},{"id":"https://openalex.org/keywords/risk-management","display_name":"risk management","score":0.8320000171661377},{"id":"https://openalex.org/keywords/transportation-systems","display_name":"transport systems","score":0.9810000061988831},{"id":"https://openalex.org/keywords/human-behavior-prediction","display_name":"human behavior prediction","score":0.8180000185966492},{"id":"https://openalex.org/keywords/emergency-response","display_name":"emergency response","score":0.7110000252723694},{"id":"https://openalex.org/keywords/road-network-congestion","display_name":"road network congestion","score":0.7009999752044678},{"id":"https://openalex.org/keywords/evacuation","display_name":"evacuation","score":0.49000000953674316},{"id":"https://openalex.org/keywords/rescue-operations","display_name":"rescue operations","score":0.7839999794960022},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.6700000166893005},{"id":"https://openalex.org/keywords/mobile-phone-data","display_name":"mobile phone data","score":0.7110000252723694},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.824999988079071}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.915192723274231},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5887699723243713},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.49703243374824524},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3442203998565674},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2975807785987854},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.procs.2025.03.008","doi":"https://doi.org/10.1016/j.procs.2025.03.008","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.03.008","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:iris.unical.it:20.500.11770/394048","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/20.500.11770/394048","pdf_url":null,"source":{"id":"https://openalex.org/S4377196898","display_name":"Archive of Doctoral Theses and Digital Collections (University of Calabria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45204951","host_organization_name":"University of Calabria","host_organization_lineage":["https://openalex.org/I45204951"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2025.03.008","doi":"https://doi.org/10.1016/j.procs.2025.03.008","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.03.008","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.9333000183105469,"id":"https://metadata.un.org/sdg/11"},{"display_name":"Industry, innovation and infrastructure","score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324136","display_name":"Universit\u00e0 della Calabria","ror":"https://ror.org/02rc97e94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1976717633","https://openalex.org/W1987186148","https://openalex.org/W2075433852","https://openalex.org/W2150220236","https://openalex.org/W2512536275","https://openalex.org/W2743313181","https://openalex.org/W2970131207","https://openalex.org/W3133005721","https://openalex.org/W3205337101","https://openalex.org/W4289533961","https://openalex.org/W4386289867","https://openalex.org/W4391429728","https://openalex.org/W4391684739","https://openalex.org/W4394761202","https://openalex.org/W4396510753","https://openalex.org/W4401875980","https://openalex.org/W4402254823","https://openalex.org/W4402680065"],"related_works":["https://openalex.org/W1968060540","https://openalex.org/W2986390298","https://openalex.org/W2731054427","https://openalex.org/W2546912553","https://openalex.org/W939076788","https://openalex.org/W2956457131","https://openalex.org/W3086976107","https://openalex.org/W4410820367","https://openalex.org/W2898775471","https://openalex.org/W2486062019"],"abstract_inverted_index":{"In":[0,48],"recent":[1],"years,":[2],"thanks":[3],"to":[4,18,83,86,99,102,108,135,194,213,234,263],"the":[5,32,51,55,84,123,126,137,141,144,166,170,180,198,202,208,222,247],"widespread":[6],"use":[7,145],"of":[8,23,34,57,125,143,146,151,174,189,201,210],"mobile":[9],"phones":[10],"and":[11,37,64,89,107,155,204,241,269],"IoT":[12],"devices,":[13],"it":[14,96,229],"has":[15],"been":[16,257],"possible":[17,98,233],"collect":[19],"a":[20],"large":[21,214],"amount":[22],"data.":[24,161],"Big":[25],"data":[26,59],"contains":[27],"information":[28,196,251],"on":[29,54,78,197,266],"human":[30,65,90,153],"behavior,":[31],"recurrence":[33],"environmental":[35,62,215],"disasters":[36,63,216],"how":[38,74],"urban":[39,219],"traffic":[40],"becomes":[41],"congested":[42],"when":[43],"an":[44],"emergency":[45,68],"event":[46],"occurs.":[47],"this":[49,164],"article,":[50],"scientific":[52,138,176,227],"literature":[53,131],"usefulness":[56],"big":[58,94,160],"in":[60,140,207,226,243,249],"predicting":[61,152],"behaviors":[66,76,91,106],"following":[67],"situations":[69],"is":[70,97],"analyzed,":[71],"along":[72],"with":[73],"these":[75],"impact":[77],"road":[79],"network":[80],"congestion.":[81],"Thanks":[82],"ability":[85],"predict":[87],"events":[88,157],"provided":[92],"by":[93,122],"data,":[95],"help":[100],"users":[101,253],"have":[103,168,254],"more":[104],"orderly":[105],"take":[109],"those":[110],"paths":[111],"that":[112,178,217],"are":[113,117],"safe":[114],"because":[115],"they":[116],"not":[118,255],"compromised":[119],"or":[120],"damaged":[121],"cause":[124],"emergency.":[127],"A":[128],"comprehensive":[129],"bibliometric-based":[130],"review":[132],"was":[133],"performed":[134],"summarize":[136],"progress":[139],"field":[142,209],"machine":[147],"learning":[148],"models":[149],"capable":[150,173],"behavior":[154],"disastrous":[156],"starting":[158],"from":[159,186],"To":[162],"perform":[163],"analysis,":[165],"authors":[167],"identified":[169],"main":[171],"keywords":[172],"collecting":[175],"works":[177],"analyze":[179],"same":[181],"topic,":[182],"even":[183],"if":[184],"applied":[185],"different":[187],"points":[188],"view.":[190],"This":[191],"paper":[192],"aims":[193],"gather":[195],"current":[199],"state":[200],"art":[203],"technological":[205,224],"advancements":[206,225],"adaptive":[211],"responses":[212],"threaten":[218],"areas.":[220],"Considering":[221],"significant":[223],"research,":[228],"will":[230],"soon":[231],"be":[232,264],"meticulously":[235],"guide":[236],"people":[237],"during":[238],"rescue":[239],"operations":[240],"evacuations":[242],"catastrophic":[244],"events.":[245],"However,":[246],"ways":[248],"which":[250],"reaches":[252],"yet":[256],"thoroughly":[258],"explored.":[259],"Much":[260],"work":[261],"remains":[262],"done":[265],"improving":[267],"warning":[268],"communication":[270],"methods.":[271]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-10-03T13:16:28.481748","created_date":"2025-04-26T00:00:00"}
