{"id":"https://openalex.org/W3153052461","doi":"https://doi.org/10.1109/infocom42981.2021.9488787","title":"Towards Fine-Grained Spatio-Temporal Coverage for Vehicular Urban Sensing Systems","display_name":"Towards Fine-Grained Spatio-Temporal Coverage for Vehicular Urban Sensing Systems","publication_year":2021,"publication_date":"2021-05-10","ids":{"openalex":"https://openalex.org/W3153052461","doi":"https://doi.org/10.1109/infocom42981.2021.9488787","mag":"3153052461"},"language":"en","primary_location":{"id":"doi:10.1109/infocom42981.2021.9488787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom42981.2021.9488787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5043309721","display_name":"Guiyun Fan","orcid":"https://orcid.org/0000-0002-7007-6110"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiyun Fan","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110759003","display_name":"Yiran Zhao","orcid":"https://orcid.org/0009-0006-8514-192X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiran Zhao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024618231","display_name":"Zilang Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilang Guo","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087534120","display_name":"Haiming Jin","orcid":"https://orcid.org/0000-0002-3790-3743"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiming Jin","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085791658","display_name":"Xiaoying Gan","orcid":"https://orcid.org/0000-0001-5200-1409"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoying Gan","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034483183","display_name":"Xinbing Wang","orcid":"https://orcid.org/0000-0002-0357-8356"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbing Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8195232152938843},{"id":"https://openalex.org/keywords/taxis","display_name":"Taxis","score":0.6322528719902039},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.5496172308921814},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47522643208503723},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45733150839805603},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4454383850097656},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3878338932991028},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16734352707862854},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.16620448231697083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8195232152938843},{"id":"https://openalex.org/C183373512","wikidata":"https://www.wikidata.org/wiki/Q949618","display_name":"Taxis","level":2,"score":0.6322528719902039},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.5496172308921814},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47522643208503723},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45733150839805603},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4454383850097656},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3878338932991028},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16734352707862854},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.16620448231697083},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom42981.2021.9488787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom42981.2021.9488787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","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":50,"referenced_works":["https://openalex.org/W303877937","https://openalex.org/W2079204536","https://openalex.org/W2290431464","https://openalex.org/W2326421035","https://openalex.org/W2342794471","https://openalex.org/W2472736163","https://openalex.org/W2499215323","https://openalex.org/W2525946538","https://openalex.org/W2612206112","https://openalex.org/W2616501053","https://openalex.org/W2763100273","https://openalex.org/W2769860519","https://openalex.org/W2770785441","https://openalex.org/W2775562353","https://openalex.org/W2789572951","https://openalex.org/W2791626981","https://openalex.org/W2791911050","https://openalex.org/W2800812001","https://openalex.org/W2802269386","https://openalex.org/W2808820828","https://openalex.org/W2809254512","https://openalex.org/W2899753121","https://openalex.org/W2904079642","https://openalex.org/W2918718461","https://openalex.org/W2918737894","https://openalex.org/W2919477070","https://openalex.org/W2924254303","https://openalex.org/W2933013660","https://openalex.org/W2943603304","https://openalex.org/W2950637351","https://openalex.org/W2970163346","https://openalex.org/W2976936450","https://openalex.org/W2985258680","https://openalex.org/W2996667481","https://openalex.org/W3005064273","https://openalex.org/W3011275207","https://openalex.org/W3016585146","https://openalex.org/W3047017235","https://openalex.org/W3047024287","https://openalex.org/W3047040106","https://openalex.org/W3047382256","https://openalex.org/W3047868431","https://openalex.org/W3137248573","https://openalex.org/W6727549081","https://openalex.org/W6746816144","https://openalex.org/W6755710493","https://openalex.org/W6757551417","https://openalex.org/W6760230066","https://openalex.org/W6760610560","https://openalex.org/W6781015887"],"related_works":["https://openalex.org/W2731640799","https://openalex.org/W3145095895","https://openalex.org/W2594548639","https://openalex.org/W4387544810","https://openalex.org/W2978498151","https://openalex.org/W2782837293","https://openalex.org/W2388377527","https://openalex.org/W565532978","https://openalex.org/W1946755446","https://openalex.org/W2376563300"],"abstract_inverted_index":{"Vehicular":[0],"urban":[1,23],"sensing":[2,59,88,103,118],"(VUS),":[3],"which":[4],"uses":[5],"sensors":[6],"mounted":[7],"on":[8],"crowdsourced":[9],"vehicles":[10,35,39,104],"or":[11],"on-board":[12],"drivers'":[13],"smartphones,":[14],"has":[15],"become":[16],"a":[17,75,79,140,182],"promising":[18],"paradigm":[19],"for":[20,33,46,56,132],"monitoring":[21],"critical":[22],"metrics.":[24],"Due":[25],"to":[26,36,73,86,106,114],"various":[27,146],"hardware":[28],"and":[29,144,158,168],"software":[30],"constraints":[31],"difficult":[32],"private":[34],"satisfy,":[37],"for-hire":[38],"(FHVs)":[40],"are":[41,52],"usually":[42],"the":[43,121,129,137,176],"major":[44],"forces":[45],"VUS":[47],"systems.":[48],"However,":[49],"FHVs":[50,85],"alone":[51],"far":[53],"from":[54,185],"enough":[55],"fine-grained":[57,116],"spatio-temporal":[58,117],"coverage,":[60],"because":[61],"of":[62,94,178,191],"their":[63,91],"severe":[64],"distribution":[65],"biases.":[66],"To":[67],"address":[68],"this":[69],"issue,":[70],"we":[71,112,135],"propose":[72],"use":[74],"hybrid":[76],"approach,":[77],"where":[78],"centralized":[80],"platform":[81],"not":[82],"only":[83],"leverages":[84],"conduct":[87],"tasks":[89],"during":[90],"daily":[92],"movements":[93],"serving":[95],"passenger":[96],"orders,":[97],"but":[98],"also":[99],"controls":[100],"multiple":[101],"dedicated":[102],"(DSVs)":[105],"bridge":[107],"FHVs'":[108],"coverage":[109,119],"gaps.":[110],"Specifically,":[111],"aim":[113],"achieve":[115],"at":[120],"minimum":[122],"long-term":[123,149],"operational":[124],"cost":[125,150],"by":[126,161],"systematically":[127],"optimizing":[128],"repositioning":[130],"policy":[131],"DSVs.":[133],"Technically,":[134],"formulate":[136],"problem":[138],"as":[139],"stochastic":[141,152],"dynamic":[142],"program,":[143],"solve":[145],"challenges,":[147],"including":[148],"minimization,":[151],"demand":[153],"with":[154],"partial":[155],"statistical":[156],"knowledge,":[157],"computational":[159],"intractability,":[160],"integrating":[162],"distributionally":[163],"robust":[164],"optimization,":[165],"primal-dual":[166],"transformation,":[167],"second":[169],"order":[170],"conic":[171],"programming":[172],"methods.":[173],"We":[174],"validate":[175],"effectiveness":[177],"our":[179],"methods":[180],"using":[181],"real-world":[183],"dataset":[184],"Shenzhen,":[186],"China,":[187],"containing":[188],"726,000":[189],"trajectories":[190],"3848":[192],"taxis":[193],"spanning":[194],"overall":[195],"1":[196],"month":[197],"in":[198],"2017.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}