{"id":"https://openalex.org/W4388823989","doi":"https://doi.org/10.1145/3615888.3627812","title":"Exploring The Use of OpenStreetMap Data (OSM) and GPS Traces for Validating Driving Routes and Identifying Prohibited Maneuvers in Direction Services","display_name":"Exploring The Use of OpenStreetMap Data (OSM) and GPS Traces for Validating Driving Routes and Identifying Prohibited Maneuvers in Direction Services","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4388823989","doi":"https://doi.org/10.1145/3615888.3627812"},"language":"en","primary_location":{"id":"doi:10.1145/3615888.3627812","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3615888.3627812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications","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/A5004407743","display_name":"Antonios Karatzoglou","orcid":"https://orcid.org/0000-0002-7939-1408"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonios Karatzoglou","raw_affiliation_strings":["Microsoft Corp., Mountain View, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-7939-1408","affiliations":[{"raw_affiliation_string":"Microsoft Corp., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093294729","display_name":"Tijana Bekic","orcid":"https://orcid.org/0009-0002-5722-0533"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tijana Bekic","raw_affiliation_strings":["Microsoft Corp., Belgrad, Serbia"],"raw_orcid":"https://orcid.org/0009-0002-5722-0533","affiliations":[{"raw_affiliation_string":"Microsoft Corp., Belgrad, Serbia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022570175","display_name":"Vashutosh Agrawal","orcid":"https://orcid.org/0009-0008-6910-0591"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vashutosh Agrawal","raw_affiliation_strings":["Microsoft Corp., Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0009-0008-6910-0591","affiliations":[{"raw_affiliation_string":"Microsoft Corp., Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101808454","display_name":"M. Rajesh Khanna","orcid":"https://orcid.org/0009-0005-9156-2950"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohit Khanna","raw_affiliation_strings":["Microsoft Corp., Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0009-0005-9156-2950","affiliations":[{"raw_affiliation_string":"Microsoft Corp., Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093294730","display_name":"Aleksandar Matejevic","orcid":"https://orcid.org/0009-0006-4483-7971"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aleksandar Matejevic","raw_affiliation_strings":["Hi-Tech Talents LLC, Belgrad, Serbia"],"raw_orcid":"https://orcid.org/0009-0006-4483-7971","affiliations":[{"raw_affiliation_string":"Hi-Tech Talents LLC, Belgrad, Serbia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033762083","display_name":"Varun Kakkar","orcid":"https://orcid.org/0009-0004-7956-9159"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Varun Kakkar","raw_affiliation_strings":["Microsoft Corp., Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0009-0004-7956-9159","affiliations":[{"raw_affiliation_string":"Microsoft Corp., Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101462076","display_name":"Michael R. Evans","orcid":"https://orcid.org/0000-0003-0893-3975"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael R. Evans","raw_affiliation_strings":["Microsoft Corp., Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0893-3975","affiliations":[{"raw_affiliation_string":"Microsoft Corp., Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093294731","display_name":"Aleksandar Samardzija","orcid":"https://orcid.org/0009-0003-8983-553X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aleksandar Samardzija","raw_affiliation_strings":["Microsoft Corp. Belgrade, Serbia"],"raw_orcid":"https://orcid.org/0009-0003-8983-553X","affiliations":[{"raw_affiliation_string":"Microsoft Corp. Belgrade, Serbia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011887480","display_name":"Jacob Whitbeck","orcid":"https://orcid.org/0009-0009-4145-5697"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob Whitbeck","raw_affiliation_strings":["Microsoft Corp., Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0009-0009-4145-5697","affiliations":[{"raw_affiliation_string":"Microsoft Corp., Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065508800","display_name":"Dragomir Yankov","orcid":"https://orcid.org/0009-0006-4509-3222"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dragomir Yankov","raw_affiliation_strings":["Microsoft Corp., Mountain View, CA, USA"],"raw_orcid":"https://orcid.org/0009-0006-4509-3222","affiliations":[{"raw_affiliation_string":"Microsoft Corp., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079750490","display_name":"Nikola Dj. Perin","orcid":"https://orcid.org/0009-0008-0238-1034"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nikola Perin","raw_affiliation_strings":["Microsoft Corp., Belgrade, Serbia"],"raw_orcid":"https://orcid.org/0009-0008-0238-1034","affiliations":[{"raw_affiliation_string":"Microsoft Corp., Belgrade, Serbia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064884716","display_name":"Nikola Todic","orcid":"https://orcid.org/0009-0003-4484-4491"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nikola Todic","raw_affiliation_strings":["Microsoft Corp. Belgrade, Serbia"],"raw_orcid":"https://orcid.org/0009-0003-4484-4491","affiliations":[{"raw_affiliation_string":"Microsoft Corp. Belgrade, Serbia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025725442","display_name":"Goran Predovi\u0107","orcid":"https://orcid.org/0009-0006-3068-2454"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Goran Predovic","raw_affiliation_strings":["Microsoft Corp., Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0009-0006-3068-2454","affiliations":[{"raw_affiliation_string":"Microsoft Corp., Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":13,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20870367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9998000264167786,"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":0.9998000264167786,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9933000206947327,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7898968458175659},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6698538661003113},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5822479724884033},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5765478014945984},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48033323884010315},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.45638516545295715},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.43762069940567017},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.39010706543922424},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3686096668243408},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.339508056640625},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16350632905960083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7898968458175659},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6698538661003113},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5822479724884033},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5765478014945984},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48033323884010315},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.45638516545295715},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.43762069940567017},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.39010706543922424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3686096668243408},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.339508056640625},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16350632905960083},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3615888.3627812","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3615888.3627812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1999586221","https://openalex.org/W2022664803","https://openalex.org/W2023932096","https://openalex.org/W2111961236","https://openalex.org/W2122967165","https://openalex.org/W2135822894","https://openalex.org/W2138162264","https://openalex.org/W2156531019","https://openalex.org/W2241870889","https://openalex.org/W2549412929","https://openalex.org/W3012668869","https://openalex.org/W3108472310","https://openalex.org/W3165945407","https://openalex.org/W3208909798","https://openalex.org/W4230830156","https://openalex.org/W4308102352"],"related_works":["https://openalex.org/W3162200841","https://openalex.org/W2586280620","https://openalex.org/W2805505483","https://openalex.org/W2334071950","https://openalex.org/W2384744344","https://openalex.org/W4233932308","https://openalex.org/W1799694159","https://openalex.org/W2393169196","https://openalex.org/W2366610330","https://openalex.org/W4242143973"],"abstract_inverted_index":{"As":[0],"people":[1],"increasingly":[2,19],"adopt":[3],"a":[4,40,59,100,126,149,155,165,199,210,218],"more":[5],"flexible":[6],"and":[7,14,38,47,94,178,186,257],"mobile":[8],"way":[9],"of":[10,45,51,107,112,137,143,157,190,201,213,248,260,268],"living,":[11],"map":[12,220],"applications":[13],"navigation":[15],"services":[16,26],"have":[17,99],"gained":[18],"in":[20,43,58,125,198,252],"importance.":[21],"In":[22,129],"order":[23],"for":[24,79],"these":[25],"to":[27,30,36,75,81,120,161,184,194,244],"be":[28,92],"useful":[29],"their":[31,33],"users,":[32],"providers":[34],"need":[35],"ensure":[37],"maintain":[39],"high":[41],"quality":[42,54,106],"terms":[44],"accuracy":[46],"reliability.":[48],"Keeping":[49],"track":[50,164],"the":[52,65,76,89,104,118,134,141,188,249,266],"service":[53],"is":[55,182,242],"essential,":[56],"especially":[57],"dynamic":[60],"domain":[61],"like":[62],"this,":[63],"where":[64],"underlying":[66],"road":[67,83],"network":[68],"data":[69,177,221],"might":[70,91],"change":[71],"from":[72],"one":[73],"day":[74],"next":[77],"due":[78],"instance":[80],"temporal":[82],"closures":[84],"or":[85],"turn":[86],"restrictions.":[87],"Although":[88],"changes":[90],"small":[93],"local,":[95],"they":[96],"can":[97],"still":[98],"big":[101],"impact":[102],"on":[103,116,133,175],"routing":[105],"direction":[108],"services.":[109],"The":[110],"focus":[111,132],"this":[113],"study":[114],"lies":[115],"providing":[117],"means":[119],"avoid":[121],"such":[122],"high-impact":[123],"scenarios":[124],"cost-efficient":[127],"manner.":[128],"particular,":[130],"we":[131,153,169,205],"legality":[135],"aspect":[136],"routes":[138,216],"that":[139,181,239],"reflects":[140],"degree":[142],"prohibited":[144],"by":[145,272],"law":[146],"maneuvers":[147,197,263],"within":[148],"suggested":[150],"route.":[151],"First,":[152],"define":[154],"set":[156],"appropriate":[158],"sample-based":[159],"metrics":[160],"help":[162],"us":[163],"route's":[166],"legality.":[167],"Then,":[168],"introduce":[170],"an":[171],"automated":[172],"pipeline":[173,208],"based":[174],"OSM":[176],"GPS":[179],"traces":[180],"able":[183,243],"support":[185],"reduce":[187],"load":[189,267],"our":[191,207,233,240,253],"human":[192,226,270],"judges":[193],"identify":[195,258],"illegal":[196,262],"sample":[200,212],"candidate":[202,254],"routes.":[203],"Finally,":[204],"evaluate":[206],"using":[209],"random":[211],"1,306":[214],"US":[215],"while":[217,264],"local":[219],"provider":[222],"as":[223,225,232],"well":[224],"judgement":[227,271],"via":[228],"visual":[229],"inspection":[230],"serve":[231],"ground":[234],"truth.":[235],"Our":[236],"results":[237],"show":[238],"method":[241],"sufficiently":[245],"cover":[246],"most":[247],"route":[250,255],"sections":[251],"samples":[256],"90%":[259],"all":[261],"reducing":[265],"manual":[269],"86%.":[273]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}