{"id":"https://openalex.org/W1989575672","doi":"https://doi.org/10.1109/iri.2009.5211551","title":"ICE--visual analytics for transportation incident datasets","display_name":"ICE--visual analytics for transportation incident datasets","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W1989575672","doi":"https://doi.org/10.1109/iri.2009.5211551","mag":"1989575672"},"language":"en","primary_location":{"id":"doi:10.1109/iri.2009.5211551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2009.5211551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Information Reuse & Integration","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/A5091157999","display_name":"Michael L. Pack","orcid":"https://orcid.org/0000-0003-4830-1438"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael L. Pack","raw_affiliation_strings":["Center for Advanced Transportation Technology Laboratory, University of Maryland College Park, College Park, MD, USA","University of Maryland, College Park, Center for Advanced Transportation Technology Laboratory, College Park, 20742, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Transportation Technology Laboratory, University of Maryland College Park, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"University of Maryland, College Park, Center for Advanced Transportation Technology Laboratory, College Park, 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051520705","display_name":"Krist Wongsuphasawat","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krist Wongsuphasawat","raw_affiliation_strings":["Center for Advanced Transportation Technology Laboratory, University of Maryland College Park, College Park, MD, USA","University of Maryland, College Park, Center for Advanced Transportation Technology Laboratory, College Park, 20742, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Transportation Technology Laboratory, University of Maryland College Park, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"University of Maryland, College Park, Center for Advanced Transportation Technology Laboratory, College Park, 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021346331","display_name":"Michael VanDaniker","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael VanDaniker","raw_affiliation_strings":["Center for Advanced Transportation Technology Laboratory, University of Maryland College Park, College Park, MD, USA","University of Maryland, College Park, Center for Advanced Transportation Technology Laboratory, College Park, 20742, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Transportation Technology Laboratory, University of Maryland College Park, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"University of Maryland, College Park, Center for Advanced Transportation Technology Laboratory, College Park, 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070327849","display_name":"Darya Filippova","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Darya Filippova","raw_affiliation_strings":["Center for Advanced Transportation Technology Laboratory, University of Maryland College Park, College Park, MD, USA","University of Maryland, College Park, Center for Advanced Transportation Technology Laboratory, College Park, 20742, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Transportation Technology Laboratory, University of Maryland College Park, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"University of Maryland, College Park, Center for Advanced Transportation Technology Laboratory, College Park, 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.9854,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.76891886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"200","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10757","display_name":"Geographic Information Systems Studies","score":0.967199981212616,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/geospatial-analysis","display_name":"Geospatial analysis","score":0.8275721073150635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.794644832611084},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.7730626463890076},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.671826183795929},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5463047027587891},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5243975520133972},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5103248953819275},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5050566792488098},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4661406874656677},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.45524945855140686},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4462331235408783},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.4435119330883026},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4391971528530121},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.4218444228172302},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39300891757011414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1473003327846527},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.11816391348838806},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08579492568969727}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.8275721073150635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.794644832611084},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.7730626463890076},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.671826183795929},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5463047027587891},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5243975520133972},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5103248953819275},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5050566792488098},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4661406874656677},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.45524945855140686},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4462331235408783},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.4435119330883026},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4391971528530121},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.4218444228172302},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39300891757011414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1473003327846527},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.11816391348838806},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08579492568969727},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iri.2009.5211551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2009.5211551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Information Reuse & Integration","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1487235154","https://openalex.org/W2003148032","https://openalex.org/W2058012341","https://openalex.org/W2105894416","https://openalex.org/W2122991194","https://openalex.org/W2132631291","https://openalex.org/W2138199375","https://openalex.org/W2138406484"],"related_works":["https://openalex.org/W3149127250","https://openalex.org/W2158984754","https://openalex.org/W2143428259","https://openalex.org/W4246764483","https://openalex.org/W2116732611","https://openalex.org/W2126824079","https://openalex.org/W2080934634","https://openalex.org/W4301373648","https://openalex.org/W2564956852","https://openalex.org/W2597787696"],"abstract_inverted_index":{"Transportation":[0],"systems":[1],"are":[2,95,99],"being":[3],"monitored":[4],"at":[5],"an":[6,74],"unprecedented":[7],"scope":[8],"resulting":[9],"in":[10],"tremendously":[11],"detailed":[12],"traffic":[13],"and":[14,47,91,109,130],"incident":[15,27,84],"databases.":[16],"While":[17],"the":[18,42,138,142,152,157],"transportation":[19,83],"community":[20],"emphasizes":[21],"developing":[22],"standards":[23],"for":[24],"storing":[25],"this":[26],"data,":[28,43,143],"little":[29],"effort":[30],"has":[31,147],"been":[32,148],"made":[33],"to":[34,40,102,105,127,137,150],"design":[35],"appropriate":[36],"visual":[37,63],"analytics":[38,64],"tools":[39],"explore":[41],"extract":[44],"meaningful":[45],"knowledge,":[46],"represent":[48],"results.":[49],"Analyzing":[50],"these":[51],"large":[52],"multivariate":[53,139],"geospatial":[54],"datasets":[55],"is":[56,71],"a":[57,117,133,144],"non-trivial":[58],"task.":[59],"A":[60],"novel,":[61],"web-based,":[62],"tool":[65],"called":[66],"ICE":[67],"(incident":[68],"cluster":[69],"explorer)":[70],"proposed":[72],"as":[73],"application":[75],"that":[76,98],"affords":[77],"sophisticated":[78],"yet":[79],"user-friendly":[80],"analysis":[81],"of":[82,120,141,154],"datasets.":[85],"Interactive":[86],"maps,":[87],"histograms,":[88],"two-dimensional":[89],"plots":[90,94],"parallel":[92],"coordinates":[93],"four":[96],"visualizations":[97],"integrated":[100],"together":[101],"allow":[103],"users":[104,122],"simultaneously":[106],"interact":[107],"with":[108],"see":[110],"relationships":[111,155],"between":[112,156],"multiple":[113],"visualizations.":[114],"Accompanied":[115],"by":[116],"rich":[118],"set":[119],"filters,":[121],"can":[123],"create":[124],"custom":[125],"conditions":[126],"filter":[128],"data":[129],"focus":[131],"on":[132],"smaller":[134],"dataset.":[135],"Due":[136],"nature":[140],"rank-by-feature":[145],"framework":[146],"expanded":[149],"quantify":[151],"strength":[153],"different":[158],"fields.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}