{"id":"https://openalex.org/W3040127559","doi":"https://doi.org/10.1145/3378393.3402275","title":"Modulo","display_name":"Modulo","publication_year":2020,"publication_date":"2020-06-15","ids":{"openalex":"https://openalex.org/W3040127559","doi":"https://doi.org/10.1145/3378393.3402275","mag":"3040127559"},"language":"en","primary_location":{"id":"doi:10.1145/3378393.3402275","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3378393.3402275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","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/A5014154126","display_name":"D. P. Agarwal","orcid":"https://orcid.org/0000-0002-1090-3583"},"institutions":[{"id":"https://openalex.org/I347237974","display_name":"Ashoka University","ror":"https://ror.org/02j1xr113","country_code":"IN","type":"education","lineage":["https://openalex.org/I347237974"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dhruv Agarwal","raw_affiliation_strings":["Ashoka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ashoka University","institution_ids":["https://openalex.org/I347237974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061869647","display_name":"Srinivasan Iyengar","orcid":"https://orcid.org/0000-0001-6112-5534"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Srinivasan Iyengar","raw_affiliation_strings":["Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107913584","display_name":"Manohar Swaminathan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Manohar Swaminathan","raw_affiliation_strings":["Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012646263","display_name":"Eash Sharma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eash Sharma","raw_affiliation_strings":["Ola Cabs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ola Cabs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028325717","display_name":"Ashish Raj","orcid":"https://orcid.org/0000-0003-2414-2444"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashish Raj","raw_affiliation_strings":["Ola Cabs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ola Cabs","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004712312","display_name":"Aadithya Hatwar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aadithya Hatwar","raw_affiliation_strings":["Ola Cabs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ola Cabs","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5014154126"],"corresponding_institution_ids":["https://openalex.org/I347237974"],"apc_list":null,"apc_paid":null,"fwci":0.4865,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.61651777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"187","last_page":"197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9986000061035156,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9937000274658203,"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/modulo","display_name":"Modulo","score":0.9284699559211731},{"id":"https://openalex.org/keywords/taxis","display_name":"Taxis","score":0.8027715682983398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6717738509178162},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5943599939346313},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5793794989585876},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.463589608669281},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.44392552971839905},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3519679307937622},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.23751842975616455},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.151937335729599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10815152525901794},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09264945983886719}],"concepts":[{"id":"https://openalex.org/C54732982","wikidata":"https://www.wikidata.org/wiki/Q1415345","display_name":"Modulo","level":2,"score":0.9284699559211731},{"id":"https://openalex.org/C183373512","wikidata":"https://www.wikidata.org/wiki/Q949618","display_name":"Taxis","level":2,"score":0.8027715682983398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6717738509178162},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5943599939346313},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5793794989585876},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.463589608669281},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.44392552971839905},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3519679307937622},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.23751842975616455},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.151937335729599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10815152525901794},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09264945983886719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3378393.3402275","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3378393.3402275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2009985677","https://openalex.org/W2091701986","https://openalex.org/W2144169341","https://openalex.org/W2144328261","https://openalex.org/W2166604768","https://openalex.org/W2168463792","https://openalex.org/W2346905224","https://openalex.org/W2491777287","https://openalex.org/W2734098629","https://openalex.org/W2741140625","https://openalex.org/W2763288875","https://openalex.org/W2807931621","https://openalex.org/W2809334854","https://openalex.org/W2898352493","https://openalex.org/W2950637351","https://openalex.org/W2988535386"],"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":{"Ambient":[0],"air":[1,30,190],"pollution":[2,191],"in":[3,23],"urban":[4],"areas":[5],"is":[6,27,48,89,121],"a":[7,33,67,74,79,86,99,110,161,178],"significant":[8],"health":[9],"hazard,":[10],"with":[11,53,131,145],"over":[12],"4.2":[13],"million":[14],"deaths":[15],"annually":[16],"attributed":[17],"to":[18,28,49,81,101,123,185],"it.":[19],"A":[20,37],"crucial":[21],"step":[22],"tackling":[24],"these":[25],"challenge":[26],"measure":[29],"quality":[31],"at":[32,66,78],"fine":[34],"spatiotemporal":[35,64,116],"granularity.":[36],"promising":[38],"approach":[39],"for":[40,135,188],"several":[41],"smart":[42],"city":[43],"projects,":[44],"called":[45],"drive-by":[46,75,103],"sensing,":[47],"leverage":[50],"vehicles":[51,84,169,187],"retrofitted":[52],"different":[54],"sensors":[55,133],"(pollution":[56],"monitors,":[57],"etc.)":[58],"that":[59,182],"can":[60],"provide":[61],"the":[62,70,158],"desired":[63],"coverage":[65],"fraction":[68],"of":[69,112,164],"cost.":[71],"However,":[72],"deploying":[73],"sensing":[76,104,192],"network":[77],"city-scale":[80],"optimally":[82],"select":[83,186],"from":[85],"large":[87],"fleet":[88,162],"still":[90],"unexplored.":[91],"In":[92],"this":[93],"paper,":[94],"we":[95,176],"propose":[96],"Modulo":[97,120,144,155,184],"--":[98],"system":[100],"bootstrap":[102],"deployment":[105,126],"by":[106],"taking":[107],"into":[108],"consideration":[109],"variety":[111],"aspects":[113],"such":[114,128,170],"as":[115,129,171],"coverage,":[117],"budget":[118],"constraints.":[119],"well-suited":[122],"satisfy":[124],"unique":[125],"constraints":[127],"colocations":[130],"other":[132],"(needed":[134],"gas":[136],"and":[137,152,167],"PM":[138],"sensor":[139],"calibration),":[140],"etc.":[141],"We":[142],"compare":[143],"two":[146],"baseline":[147],"algorithms":[148],"on":[149],"real-world":[150,179],"taxi":[151],"bus":[153],"datasets.":[154],"significantly":[156],"outperforms":[157],"baselines":[159],"when":[160],"comprises":[163],"both":[165],"taxis":[166],"fixed-route":[168],"public":[172],"transport":[173],"buses.":[174],"Finally,":[175],"present":[177],"case":[180],"study":[181],"uses":[183],"an":[189],"application.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2020-07-10T00:00:00"}
