{"id":"https://openalex.org/W3097263441","doi":"https://doi.org/10.1109/isc251055.2020.9239091","title":"A Predictive Service for Highway Hotspot Policing","display_name":"A Predictive Service for Highway Hotspot Policing","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3097263441","doi":"https://doi.org/10.1109/isc251055.2020.9239091","mag":"3097263441"},"language":"en","primary_location":{"id":"doi:10.1109/isc251055.2020.9239091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc251055.2020.9239091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Smart Cities Conference (ISC2)","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/A5032258117","display_name":"Jo\u00e3o V\u00edtor Venceslau Coelho","orcid":"https://orcid.org/0000-0003-1844-3435"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]},{"id":"https://openalex.org/I3020002803","display_name":"Instituto Federal do Rio Grande do Norte","ror":"https://ror.org/04je48v27","country_code":"BR","type":"education","lineage":["https://openalex.org/I3020002803"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Joao Vitor Venceslau Coelho","raw_affiliation_strings":["Digital Metropolis Institute Federal University of Rio Grande do Norte, Natal, Brazil"],"affiliations":[{"raw_affiliation_string":"Digital Metropolis Institute Federal University of Rio Grande do Norte, Natal, Brazil","institution_ids":["https://openalex.org/I3020002803","https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025385752","display_name":"Jose de Souza Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]},{"id":"https://openalex.org/I3020002803","display_name":"Instituto Federal do Rio Grande do Norte","ror":"https://ror.org/04je48v27","country_code":"BR","type":"education","lineage":["https://openalex.org/I3020002803"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jose de Souza Silva","raw_affiliation_strings":["Digital Metropolis Institute Federal University of Rio Grande do Norte, Natal, Brazil"],"affiliations":[{"raw_affiliation_string":"Digital Metropolis Institute Federal University of Rio Grande do Norte, Natal, Brazil","institution_ids":["https://openalex.org/I3020002803","https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014320176","display_name":"Adelson de Araujo","orcid":"https://orcid.org/0000-0002-4219-1955"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Adelson de Araujo","raw_affiliation_strings":["Federal University of Rio Grande do Norte, Natal, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande do Norte, Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064179916","display_name":"N\u00e9lio Cacho","orcid":"https://orcid.org/0000-0002-4706-5616"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Nelio Cacho","raw_affiliation_strings":["Federal University of Rio Grande do Norte, Natal, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande do Norte, Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072583354","display_name":"Frederico Lopes","orcid":"https://orcid.org/0000-0002-1108-8875"},"institutions":[{"id":"https://openalex.org/I3020002803","display_name":"Instituto Federal do Rio Grande do Norte","ror":"https://ror.org/04je48v27","country_code":"BR","type":"education","lineage":["https://openalex.org/I3020002803"]},{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Frederico Lopes","raw_affiliation_strings":["Digital Metropolis Institute Federal University of Rio Grande do Norte, Natal, Brazil"],"affiliations":[{"raw_affiliation_string":"Digital Metropolis Institute Federal University of Rio Grande do Norte, Natal, Brazil","institution_ids":["https://openalex.org/I3020002803","https://openalex.org/I35046152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080367595","display_name":"Jose Alex de Medeiros","orcid":null},"institutions":[{"id":"https://openalex.org/I3020002803","display_name":"Instituto Federal do Rio Grande do Norte","ror":"https://ror.org/04je48v27","country_code":"BR","type":"education","lineage":["https://openalex.org/I3020002803"]},{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jose Alex de Medeiros","raw_affiliation_strings":["Digital Metropolis Institute Federal University of Rio Grande do Norte, Natal, Brazil"],"affiliations":[{"raw_affiliation_string":"Digital Metropolis Institute Federal University of Rio Grande do Norte, Natal, Brazil","institution_ids":["https://openalex.org/I3020002803","https://openalex.org/I35046152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5032258117"],"corresponding_institution_ids":["https://openalex.org/I3020002803","https://openalex.org/I35046152"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.55846309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9879000186920166,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9879000186920166,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9570000171661377,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9351999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/patrolling","display_name":"Patrolling","score":0.6005347967147827},{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.5771565437316895},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.551896870136261},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.49197933077812195},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4807595908641815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43703049421310425},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.33082032203674316},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.17883440852165222},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.0900392234325409}],"concepts":[{"id":"https://openalex.org/C110698143","wikidata":"https://www.wikidata.org/wiki/Q651389","display_name":"Patrolling","level":2,"score":0.6005347967147827},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.5771565437316895},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.551896870136261},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.49197933077812195},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4807595908641815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43703049421310425},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33082032203674316},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.17883440852165222},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0900392234325409}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isc251055.2020.9239091","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc251055.2020.9239091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Smart Cities Conference (ISC2)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W100520939","https://openalex.org/W1536447791","https://openalex.org/W2013385050","https://openalex.org/W2030003619","https://openalex.org/W2215146270","https://openalex.org/W2434375152","https://openalex.org/W2528158657","https://openalex.org/W2529387666","https://openalex.org/W2768110962","https://openalex.org/W2769358528","https://openalex.org/W2769685129","https://openalex.org/W2771016157","https://openalex.org/W2791059564","https://openalex.org/W2811162877","https://openalex.org/W2884502219","https://openalex.org/W2913065445","https://openalex.org/W2919297652","https://openalex.org/W2969347427","https://openalex.org/W2981614475","https://openalex.org/W2994488661","https://openalex.org/W2998008488","https://openalex.org/W3049511186","https://openalex.org/W3121169035","https://openalex.org/W4243863038","https://openalex.org/W6604079611","https://openalex.org/W6632102171","https://openalex.org/W6753339944","https://openalex.org/W6771374333"],"related_works":["https://openalex.org/W170273588","https://openalex.org/W2337788814","https://openalex.org/W2092973197","https://openalex.org/W2404411151","https://openalex.org/W2163146706","https://openalex.org/W3206391274","https://openalex.org/W167683769","https://openalex.org/W2332242917","https://openalex.org/W2095900292","https://openalex.org/W2264713136"],"abstract_inverted_index":{"Brazil's":[0],"road":[1,14,85],"traffic":[2,15],"mortality":[3],"rates":[4],"have":[5,40],"been":[6],"increasing":[7],"since":[8],"the":[9,54,70,76,79,89,92,97,106,111,116],"1960s":[10],"and":[11,43,50,95,120,133],"in":[12,17],"2003":[13],"crashes":[16],"Brazil":[18],"were":[19],"responsible":[20,62],"for":[21,58,63],"over":[22],"26":[23],"percent":[24],"of":[25,69,91,108,130],"fatal":[26],"injuries.":[27],"Some":[28],"actions":[29],"need":[30],"to":[31,34,87],"be":[32],"taken":[33],"make":[35],"it":[36],"safer,":[37],"hence,":[38],"we":[39],"proposed,":[41],"implemented,":[42],"deployed":[44],"a":[45,56,59,102,124],"support":[46],"system":[47],"that":[48],"predicts":[49],"generates,":[51],"based":[52],"on":[53,110,115],"prediction,":[55],"program-card":[57],"Federal":[60,80],"agency":[61],"patrolling":[64],"highways":[65],"which":[66],"cross":[67],"most":[68],"big":[71],"Brazilian":[72],"cities.":[73],"We":[74,100],"used":[75,114],"data":[77],"from":[78],"Highway":[81],"Police":[82],"(PRF)":[83],"about":[84],"accidents":[86],"test":[88],"performance":[90,104],"generated":[93],"models":[94],"demonstrate":[96],"designed":[98],"dashboard.":[99],"obtained":[101],"better":[103],"than":[105],"baseline":[107],"comparison":[109],"three":[112],"groups":[113],"study:":[117],"alcohol_drugs,":[118],"lack_attention":[119],"aggressive":[121],"driving,":[122],"reaching":[123],"R":[125],"<sup":[126],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[127],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[128],"score":[129],"0.440,":[131],"0.688":[132],"0.453":[134],"respectively.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
