{"id":"https://openalex.org/W2890613070","doi":"https://doi.org/10.1145/3341818","title":"Activity-aware Ridesharing Group Trip Planning Queries for Flexible POIs","display_name":"Activity-aware Ridesharing Group Trip Planning Queries for Flexible POIs","publication_year":2019,"publication_date":"2019-09-04","ids":{"openalex":"https://openalex.org/W2890613070","doi":"https://doi.org/10.1145/3341818","mag":"2890613070"},"language":"en","primary_location":{"id":"doi:10.1145/3341818","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341818","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/A5040299316","display_name":"Mehnaz Tabassum Mahin","orcid":null},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Mehnaz Tabassum Mahin","raw_affiliation_strings":["Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0003-4278-3536","affiliations":[{"raw_affiliation_string":"Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091770970","display_name":"Tanzima Hashem","orcid":"https://orcid.org/0000-0003-1288-5785"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Tanzima Hashem","raw_affiliation_strings":["Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0003-1288-5785","affiliations":[{"raw_affiliation_string":"Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040299316"],"corresponding_institution_ids":["https://openalex.org/I183697816"],"apc_list":null,"apc_paid":null,"fwci":0.3826,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.63843291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":"3","first_page":"1","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9998000264167786,"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/T12392","display_name":"Sharing Economy and Platforms","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9886000156402588,"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/trips-architecture","display_name":"TRIPS architecture","score":0.8119368553161621},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7199965715408325},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6661498546600342},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6525928378105164},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.5540317296981812},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.52205491065979},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4564026892185211},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3609755337238312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15054067969322205},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10209634900093079},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.097055584192276},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.08299863338470459}],"concepts":[{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.8119368553161621},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7199965715408325},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6661498546600342},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6525928378105164},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.5540317296981812},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.52205491065979},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4564026892185211},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3609755337238312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15054067969322205},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10209634900093079},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.097055584192276},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.08299863338470459},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341818","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341818","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W210081523","https://openalex.org/W1480779956","https://openalex.org/W1512480432","https://openalex.org/W1575124857","https://openalex.org/W1592452345","https://openalex.org/W1829285201","https://openalex.org/W1923372423","https://openalex.org/W1947077359","https://openalex.org/W1965089786","https://openalex.org/W1976495564","https://openalex.org/W1976993400","https://openalex.org/W1980402561","https://openalex.org/W1986660228","https://openalex.org/W1988738062","https://openalex.org/W2000254865","https://openalex.org/W2002533789","https://openalex.org/W2006307108","https://openalex.org/W2031128290","https://openalex.org/W2047895943","https://openalex.org/W2049795041","https://openalex.org/W2055220763","https://openalex.org/W2070937143","https://openalex.org/W2100526409","https://openalex.org/W2112129327","https://openalex.org/W2119680530","https://openalex.org/W2126455549","https://openalex.org/W2136458540","https://openalex.org/W2139503517","https://openalex.org/W2151135734","https://openalex.org/W2154245661","https://openalex.org/W2161581167","https://openalex.org/W2162203086","https://openalex.org/W2163599294","https://openalex.org/W2316487540","https://openalex.org/W2521813772","https://openalex.org/W2546552837","https://openalex.org/W2564461389","https://openalex.org/W2604882926","https://openalex.org/W2615497679","https://openalex.org/W2622469947","https://openalex.org/W2764072290","https://openalex.org/W2767320426","https://openalex.org/W2774397528","https://openalex.org/W2901911814","https://openalex.org/W2908145563","https://openalex.org/W3142808915"],"related_works":["https://openalex.org/W2807758032","https://openalex.org/W4224254130","https://openalex.org/W2152103536","https://openalex.org/W3048948123","https://openalex.org/W2107643127","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W413879896","https://openalex.org/W2352448290","https://openalex.org/W848352814"],"abstract_inverted_index":{"In":[0,18,108],"recent":[1],"years,":[2],"ridesharing":[3,25,67,158],"has":[4],"become":[5],"a":[6,23,46,76,83,90,94,109,117,121,125,131,138,149,248],"popular":[7],"model":[8],"that":[9,39,160,241],"enables":[10],"users":[11],"to":[12,170,204,212,230],"share":[13],"their":[14],"rides":[15],"with":[16,82,148,185,247],"others.":[17],"this":[19],"article,":[20],"we":[21],"introduce":[22,208],"novel":[24,42,209],"service,":[26],"an":[27,100,152,156],"Activity-aware":[28],"Ridesharing":[29],"Group":[30],"Trip":[31],"Planning":[32],"(ARGTP)":[33],"query":[34,154,192],",":[35],"in":[36,102,124,174],"road":[37],"networks":[38],"exhibits":[40],"three":[41],"features:":[43],"(i)":[44],"ensures":[45],"complete":[47],"trip":[48,88],"for":[49,99,181],"visiting":[50,57],"more":[51],"than":[52],"two":[53,244],"locations,":[54,62],"(ii)":[55],"allows":[56],"both":[58,225],"fixed":[59,85,110],"and":[60,63,105,123,177,202,216,227,234,239],"flexible":[61,80,126,132],"(iii)":[64],"provides":[65],"true":[66],"services":[68,73],"instead":[69],"of":[70,78,120,137,144,190,199,236],"taxilike":[71],"ridesourcing":[72],"by":[74],"matching":[75],"group":[77,159,163],"riders\u2019":[79,146],"trips":[81,147],"driver\u2019s":[84,150],"trip.":[86],"A":[87],"visits":[89],"point-of-interest":[91],"(POI)":[92],"like":[93],"bank,":[95],"restaurant,":[96],"or":[97],"supermarket":[98],"activity":[101],"between":[103],"source":[104],"destination":[106],"locations.":[107],"trip,":[111,127,151],"the":[112,128,141,145,162,167,197,214,232],"POI":[113,129,217],"is":[114,130],"predetermined":[115],"(e.g.,":[116,134],"specific":[118],"branch":[119,136],"bank)":[122],"one":[133],"any":[135],"bank).":[139],"Considering":[140],"spatial":[142],"proximity":[143],"ARGTP":[153,172,183,191],"returns":[155],"optimal":[157],"minimizes":[161],"cost.":[164],"We":[165,207,220],"develop":[166],"first":[168],"solution":[169,180],"process":[171],"queries":[173,184],"real":[175,226],"time":[176],"extend":[178],"our":[179,237],"generalized":[182],"multiple":[186],"POIs.":[187],"The":[188],"efficiency":[189,233],"processing":[193],"algorithms":[194],"depends":[195],"on":[196],"number":[198],"candidate":[200],"riders":[201,215],"POIs":[203],"be":[205],"explored.":[206],"pruning":[210],"techniques":[211],"refine":[213],"search":[218],"space.":[219],"perform":[221],"extensive":[222],"experiments":[223],"using":[224],"synthetic":[228],"datasets":[229],"validate":[231],"effectiveness":[235],"approach":[238],"show":[240],"it":[242],"outperforms":[243],"baseline":[245],"approaches":[246],"large":[249],"margin.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}