{"id":"https://openalex.org/W2028634515","doi":"https://doi.org/10.1145/2744700.2744703","title":"Spatial big data for eco-routing services","display_name":"Spatial big data for eco-routing services","publication_year":2015,"publication_date":"2015-03-10","ids":{"openalex":"https://openalex.org/W2028634515","doi":"https://doi.org/10.1145/2744700.2744703","mag":"2028634515"},"language":"en","primary_location":{"id":"doi:10.1145/2744700.2744703","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2744700.2744703","pdf_url":null,"source":{"id":"https://openalex.org/S27924493","display_name":"SIGSPATIAL Special","issn_l":"1946-7729","issn":["1946-7729"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGSPATIAL Special","raw_type":"journal-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/A5088696952","display_name":"Reem Y. Ali","orcid":null},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Reem Y. Ali","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036993630","display_name":"Venkata M. V. Gunturi","orcid":"https://orcid.org/0000-0002-0676-0241"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venkata M. V. Gunturi","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037233397","display_name":"Shashi Shekhar","orcid":"https://orcid.org/0000-0001-8837-192X"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shashi Shekhar","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088696952"],"corresponding_institution_ids":["https://openalex.org/I2800403580"],"apc_list":null,"apc_paid":null,"fwci":0.8616,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73863106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":"2","first_page":"19","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9983999729156494,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.6701661348342896},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6499466896057129},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5928106904029846},{"id":"https://openalex.org/keywords/greenhouse-gas","display_name":"Greenhouse gas","score":0.587368369102478},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.510585367679596},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5100529789924622},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.5077813267707825},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4502220153808594},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4471012353897095},{"id":"https://openalex.org/keywords/transformative-learning","display_name":"Transformative learning","score":0.41694432497024536},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24480846524238586},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14390581846237183},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.14068260788917542},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1362462341785431},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1140308678150177},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11112558841705322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0935211181640625},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.08082258701324463}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6701661348342896},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6499466896057129},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5928106904029846},{"id":"https://openalex.org/C47737302","wikidata":"https://www.wikidata.org/wiki/Q167336","display_name":"Greenhouse gas","level":2,"score":0.587368369102478},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.510585367679596},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5100529789924622},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.5077813267707825},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4502220153808594},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4471012353897095},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.41694432497024536},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24480846524238586},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14390581846237183},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.14068260788917542},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1362462341785431},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1140308678150177},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11112558841705322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0935211181640625},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.08082258701324463},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2744700.2744703","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2744700.2744703","pdf_url":null,"source":{"id":"https://openalex.org/S27924493","display_name":"SIGSPATIAL Special","issn_l":"1946-7729","issn":["1946-7729"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGSPATIAL Special","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W179831267","https://openalex.org/W1489285575","https://openalex.org/W1831066769","https://openalex.org/W1979007597","https://openalex.org/W2023751717","https://openalex.org/W2031674781","https://openalex.org/W2104724137","https://openalex.org/W2138049921","https://openalex.org/W2222731506","https://openalex.org/W2338659384","https://openalex.org/W2810605039"],"related_works":["https://openalex.org/W2169196470","https://openalex.org/W4385368139","https://openalex.org/W4237580245","https://openalex.org/W3113185420","https://openalex.org/W2906134827","https://openalex.org/W4322745238","https://openalex.org/W4241245680","https://openalex.org/W3124327509","https://openalex.org/W4384833310","https://openalex.org/W3200688510"],"abstract_inverted_index":{"The":[0],"size,":[1],"variety,":[2],"and":[3,23,63,101,109,135],"update":[4],"rate":[5],"of":[6,14,41,66,90,99,132],"spatial":[7,17],"datasets":[8,34,44],"are":[9],"increasingly":[10],"exceeding":[11],"the":[12,25,123],"capacity":[13],"commonly":[15],"used":[16],"computing":[18],"technologies":[19],"to":[20,32],"learn,":[21],"manage,":[22],"process":[24],"data":[26,60],"with":[27],"reasonable":[28],"effort.":[29],"We":[30],"refer":[31],"these":[33,142],"as":[35],"Spatial":[36],"Big":[37],"Data":[38],"(SBD).":[39],"Examples":[40],"emerging":[42],"SBD":[43,75,127],"include":[45],"temporally":[46],"detailed":[47],"(TD)":[48],"roadmaps":[49],"that":[50],"provide":[51],"speeds":[52],"every":[53,56],"minute":[54],"for":[55,128],"road-segment,":[57],"GPS":[58],"track":[59],"from":[61],"cell-phones,":[62],"engine":[64],"measurements":[65],"fuel":[67,100],"consumption,":[68],"greenhouse":[69],"gas":[70],"(GHG)":[71],"emissions,":[72],"etc.":[73],"Harnessing":[74],"has":[76],"a":[77,82,129],"transformative":[78],"potential.":[79],"For":[80],"example,":[81],"2011":[83],"McKinsey":[84],"Global":[85],"Institute":[86],"report":[87],"estimates":[88],"savings":[89],"\"about":[91],"$600":[92],"billion":[93],"annually":[94],"by":[95,104,126],"2020\"":[96],"in":[97],"terms":[98],"time":[102],"saved":[103],"helping":[105],"vehicles":[106],"avoid":[107],"congestion":[108],"reduce":[110],"idling":[111],"at":[112],"red":[113],"lights":[114],"or":[115],"left":[116],"turns.":[117],"In":[118],"this":[119],"paper,":[120],"we":[121,136],"discuss":[122],"challenges":[124],"posed":[125],"next":[130],"generation":[131],"routing":[133],"services":[134],"present":[137],"our":[138],"work":[139],"towards":[140],"addressing":[141],"challenges.":[143]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}