{"id":"https://openalex.org/W3048958829","doi":"https://doi.org/10.1145/3402125","title":"SmarterROUTES\u2014A Data-driven Context-aware Solution for Personalized Dynamic Routing and Navigation","display_name":"SmarterROUTES\u2014A Data-driven Context-aware Solution for Personalized Dynamic Routing and Navigation","publication_year":2020,"publication_date":"2020-08-12","ids":{"openalex":"https://openalex.org/W3048958829","doi":"https://doi.org/10.1145/3402125","mag":"3048958829"},"language":"en","primary_location":{"id":"doi:10.1145/3402125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3402125","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"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":"ACM Transactions on Spatial Algorithms and Systems","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/A5047676874","display_name":"Jelle De Bock","orcid":"https://orcid.org/0000-0002-1676-9813"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Jelle De Bock","raw_affiliation_strings":["Ghent University\u2013imec, IDLab, Belgium"],"affiliations":[{"raw_affiliation_string":"Ghent University\u2013imec, IDLab, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051192482","display_name":"Steven Verstockt","orcid":"https://orcid.org/0000-0003-1094-2184"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Steven Verstockt","raw_affiliation_strings":["Ghent University\u2013imec, IDLab, Belgium"],"affiliations":[{"raw_affiliation_string":"Ghent University\u2013imec, IDLab, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047676874"],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":0.8827,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7321357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":"1","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T12644","display_name":"Wildlife-Road Interactions and Conservation","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9769999980926514,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7962938547134399},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.71852707862854},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.7072501182556152},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.690863847732544},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6150833368301392},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5463268756866455},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5241344571113586},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5014209747314453},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.46686601638793945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40231025218963623},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39041435718536377},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19188234210014343},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09959614276885986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7962938547134399},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.71852707862854},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.7072501182556152},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.690863847732544},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6150833368301392},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5463268756866455},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5241344571113586},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5014209747314453},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.46686601638793945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40231025218963623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39041435718536377},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19188234210014343},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09959614276885986},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3402125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3402125","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"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":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},{"id":"pmh:oai:archive.ugent.be:8693108","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/8693108","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 2374-0361","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W96330011","https://openalex.org/W572619066","https://openalex.org/W1480883159","https://openalex.org/W1549116896","https://openalex.org/W1557047551","https://openalex.org/W1816492210","https://openalex.org/W1878911846","https://openalex.org/W1920501755","https://openalex.org/W2008003976","https://openalex.org/W2046236705","https://openalex.org/W2065107044","https://openalex.org/W2067699785","https://openalex.org/W2083019227","https://openalex.org/W2094075795","https://openalex.org/W2118552756","https://openalex.org/W2125718202","https://openalex.org/W2270257869","https://openalex.org/W2290289666","https://openalex.org/W2398179450","https://openalex.org/W2574472735","https://openalex.org/W2592152148","https://openalex.org/W2605751614","https://openalex.org/W2764255392","https://openalex.org/W2785409760","https://openalex.org/W2793870512","https://openalex.org/W2904554276","https://openalex.org/W2914095752","https://openalex.org/W2963588253","https://openalex.org/W4231906238","https://openalex.org/W4236516714","https://openalex.org/W4254242979"],"related_works":["https://openalex.org/W4287776258","https://openalex.org/W3027997911","https://openalex.org/W2337926734","https://openalex.org/W4312501200","https://openalex.org/W4313050734","https://openalex.org/W4327499916","https://openalex.org/W4320802194","https://openalex.org/W4298819607","https://openalex.org/W2963958939","https://openalex.org/W2949987927"],"abstract_inverted_index":{"SmarterROUTES":[0],"contributes":[1],"to":[2,37,98,190],"personalised":[3,116],"routing":[4,20],"and":[5,11,52,94,146,173],"navigation":[6,117],"by":[7,30,107],"data-driven":[8],"route":[9,29],"ranking":[10,60,101],"an":[12,40,177,184],"environmentally":[13],"aware":[14],"road":[15,124,192],"scene":[16,125],"complexity-estimation":[17],"mechanism.":[18,128],"Traditional":[19],"algorithms":[21],"provide":[22],"the":[23,32,62,74,99,108,120,135,200,205],"fastest,":[24],"shortest,":[25],"or":[26,78],"most":[27],"ecological":[28],"calculating":[31],"lowest-cost":[33],"path":[34],"from":[35,138],"A":[36],"B":[38],"using":[39,171],"underlying":[41],"network":[42,189],"of":[43,56,64,73,82,122,187,204],"weighted":[44],"connections.":[45],"Our":[46],"implementation":[47,121],"goes":[48],"a":[49,54,114,123,162],"step":[50],"further":[51],"ranks":[53],"set":[55],"such":[57],"routes.":[58],"The":[59,90,151,180,195],"is":[61,119,131],"result":[63],"additional":[65],"weighing":[66],"based":[67,133],"on":[68,134,169],"governmental":[69],"data":[70,92,140],"sets,":[71],"extracts":[72,81],"OpenStreetMap":[75],"(OSM)":[76],"database,":[77],"periodically":[79],"adapted":[80,106,185],"web":[83],"services":[84],"(e.g.,":[85],"Representational":[86],"state":[87],"transfer":[88],"APIs).":[89],"selected":[91],"sets":[93],"their":[95],"relative":[96],"contributions":[97],"overall":[100],"mechanism":[102],"can":[103],"be":[104],"dynamically":[105],"end-user.":[109],"Another":[110],"major":[111],"contribution":[112],"toward":[113],"fully":[115],"experience":[118],"complexity":[126,130,149,193,202],"scoring":[127],"Road":[129],"estimated":[132],"combined":[136],"input":[137,153,160],"geospatial":[139],"sources,":[141],"traffic":[142],"data,":[143],"sensor":[144],"analysis,":[145],"Street":[147,156],"View\u2013based":[148],"analysis.":[150],"latter":[152],"source":[154],"uses":[155,183],"View":[157],"images":[158],"as":[159],"for":[161],"Densenet":[163],"Convolutional":[164],"Neural":[165],"Network":[166],"(CNN),":[167],"pre-trained":[168],"buildings":[170],"Bag-of-Words":[172],"Structure-from-motion":[174],"features,":[175],"outputting":[176],"image":[178],"descriptor.":[179],"current":[181],"version":[182,186],"this":[188],"predict":[191],"scores.":[194],"predicted":[196],"values":[197],"correspond":[198],"with":[199],"subjective":[201],"judgements":[203],"end-users.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
