{"id":"https://openalex.org/W2782938227","doi":"https://doi.org/10.1109/bigdata.2017.8258325","title":"Spatiotemporal visualization of traffic paths using color space time curve","display_name":"Spatiotemporal visualization of traffic paths using color space time curve","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2782938227","doi":"https://doi.org/10.1109/bigdata.2017.8258325","mag":"2782938227"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8258325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","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/A5027044532","display_name":"Savitha Baskaran","orcid":null},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Savitha Baskaran","raw_affiliation_strings":["Dept. of Computer Science, IUPUI, Indianapolis, IN, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, IUPUI, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004575115","display_name":"Shiaofen Fang","orcid":"https://orcid.org/0000-0001-8277-5202"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiaofen Fang","raw_affiliation_strings":["Dept. of Computer Science, IUPUI, Indianapolis, IN, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, IUPUI, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064142935","display_name":"Shenhui Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shenhui Jiang","raw_affiliation_strings":["Dept. of Computer Science, IUPUI, Indianapolis, IN, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, IUPUI, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I55769427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027044532"],"corresponding_institution_ids":["https://openalex.org/I55769427"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49989357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"37","issue":null,"first_page":"3398","last_page":"3405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9977999925613403,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.8706293106079102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7307620048522949},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6529209613800049},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5950093269348145},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5611424446105957},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5561705231666565},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5367141366004944},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5086749196052551},{"id":"https://openalex.org/keywords/spacetime","display_name":"Spacetime","score":0.507923424243927},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4844394028186798},{"id":"https://openalex.org/keywords/space-time","display_name":"Space time","score":0.43095892667770386},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4140462279319763},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3855423033237457},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3685685992240906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2911829948425293},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1631515920162201},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11303824186325073},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.08074414730072021},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06978124380111694}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8706293106079102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7307620048522949},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6529209613800049},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5950093269348145},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5611424446105957},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5561705231666565},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5367141366004944},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5086749196052551},{"id":"https://openalex.org/C130187892","wikidata":"https://www.wikidata.org/wiki/Q133327","display_name":"Spacetime","level":2,"score":0.507923424243927},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4844394028186798},{"id":"https://openalex.org/C96402334","wikidata":"https://www.wikidata.org/wiki/Q3030793","display_name":"Space time","level":2,"score":0.43095892667770386},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4140462279319763},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3855423033237457},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3685685992240906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2911829948425293},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1631515920162201},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11303824186325073},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.08074414730072021},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06978124380111694},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2017.8258325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W578585133","https://openalex.org/W1737853022","https://openalex.org/W1916893613","https://openalex.org/W1927636871","https://openalex.org/W1936915774","https://openalex.org/W1985715063","https://openalex.org/W1988726303","https://openalex.org/W1992232332","https://openalex.org/W2003148032","https://openalex.org/W2031674781","https://openalex.org/W2062037128","https://openalex.org/W2065663378","https://openalex.org/W2073156145","https://openalex.org/W2075364600","https://openalex.org/W2087438815","https://openalex.org/W2090747210","https://openalex.org/W2098665840","https://openalex.org/W2100946521","https://openalex.org/W2101585249","https://openalex.org/W2101823987","https://openalex.org/W2112738128","https://openalex.org/W2117160391","https://openalex.org/W2123551394","https://openalex.org/W2123582261","https://openalex.org/W2148420803","https://openalex.org/W2153940791","https://openalex.org/W2161581167","https://openalex.org/W2170354963","https://openalex.org/W2172041433","https://openalex.org/W2341937654","https://openalex.org/W2503210624","https://openalex.org/W6677607127","https://openalex.org/W6704181020"],"related_works":["https://openalex.org/W2607684300","https://openalex.org/W1593857368","https://openalex.org/W2475122512","https://openalex.org/W4365152763","https://openalex.org/W3098062710","https://openalex.org/W4302187300","https://openalex.org/W4293388586","https://openalex.org/W2664576705","https://openalex.org/W2973534265","https://openalex.org/W4281258283"],"abstract_inverted_index":{"In":[0,16],"spatiotemporal":[1,132],"data":[2,133],"visualization,":[3],"integrating":[4,53],"the":[5,9,44,62,78,98],"time":[6,23,28,31,45,54,63,99],"dimension":[7,40],"with":[8],"spatial":[10,39,57],"dimensions":[11],"is":[12,41,49,89],"a":[13,21,30,34,66,82,102,127],"challenging":[14],"problem.":[15],"this":[17,47,75],"paper,":[18],"we":[19],"propose":[20],"new":[22,128],"representation":[24],"method":[25],"by":[26],"mapping":[27],"onto":[29],"curve":[32],"in":[33,52,65],"color":[35,68],"space.":[36],"Since":[37],"no":[38],"needed":[42],"for":[43,81,130],"axis,":[46],"approach":[48,76,125],"more":[50],"effective":[51],"space":[55,69],"and":[56],"dimensions.":[58],"Several":[59],"designs":[60],"of":[61,101,105,121],"curves":[64],"3D":[67],"will":[70],"be":[71],"discussed.":[72],"We":[73],"apply":[74],"to":[77,96,117],"visualization":[79,88,134],"application":[80],"large":[83,103,119],"taxi":[84],"GPS":[85,122],"dataset.":[86],"The":[87],"applied":[90],"directly":[91],"over":[92],"an":[93],"interactive":[94],"map":[95],"depict":[97],"patterns":[100],"set":[104],"driving":[106],"paths":[107],"on":[108],"city":[109],"roads.":[110],"Spatial":[111],"optimization":[112],"techniques":[113],"are":[114],"also":[115],"implemented":[116],"process":[118],"volumes":[120],"data.":[123],"This":[124],"provides":[126],"alternative":[129],"many":[131],"application.":[135]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
