{"id":"https://openalex.org/W2293355662","doi":"https://doi.org/10.1145/2820783.2820838","title":"Effective and efficient","display_name":"Effective and efficient","publication_year":2015,"publication_date":"2015-11-03","ids":{"openalex":"https://openalex.org/W2293355662","doi":"https://doi.org/10.1145/2820783.2820838","mag":"2293355662"},"language":"en","primary_location":{"id":"doi:10.1145/2820783.2820838","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2820783.2820838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems","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/A5100359164","display_name":"Siyuan Zhang","orcid":"https://orcid.org/0009-0008-0147-8248"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Siyuan Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046220908","display_name":"Lu Qin","orcid":"https://orcid.org/0000-0001-6068-5062"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lu Qin","raw_affiliation_strings":["University of Technology, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681023","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-5224-4344"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["Microsoft Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085614235","display_name":"Hong Cheng","orcid":"https://orcid.org/0000-0002-4943-9060"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Cheng","raw_affiliation_strings":["The Chinese University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100359164"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.628,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76313433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12546","display_name":"Smart Parking Systems Research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.7361878156661987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7323386073112488},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.6398017406463623},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5752909183502197},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4315287470817566},{"id":"https://openalex.org/keywords/priority-queue","display_name":"Priority queue","score":0.4238934814929962},{"id":"https://openalex.org/keywords/efficient-algorithm","display_name":"Efficient algorithm","score":0.4220021069049835},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.39824143052101135},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3193313479423523},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.17024672031402588},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13277822732925415},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11881086230278015}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.7361878156661987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7323386073112488},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.6398017406463623},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5752909183502197},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4315287470817566},{"id":"https://openalex.org/C26951474","wikidata":"https://www.wikidata.org/wiki/Q629283","display_name":"Priority queue","level":3,"score":0.4238934814929962},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.4220021069049835},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39824143052101135},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3193313479423523},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.17024672031402588},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13277822732925415},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11881086230278015},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2820783.2820838","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2820783.2820838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems","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":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G1389748638","display_name":null,"funder_award_id":"DE140100999","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G3881830098","display_name":null,"funder_award_id":"4055015, 4055048","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G5214353833","display_name":null,"funder_award_id":"411211","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"},{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1507039213","https://openalex.org/W1543003006","https://openalex.org/W1923372423","https://openalex.org/W1969878341","https://openalex.org/W1976993400","https://openalex.org/W1980402561","https://openalex.org/W1993912146","https://openalex.org/W1994863634","https://openalex.org/W1996865658","https://openalex.org/W2007669664","https://openalex.org/W2022179164","https://openalex.org/W2031236641","https://openalex.org/W2033211895","https://openalex.org/W2041916017","https://openalex.org/W2060864767","https://openalex.org/W2062848345","https://openalex.org/W2066086285","https://openalex.org/W2081863845","https://openalex.org/W2084340826","https://openalex.org/W2093729646","https://openalex.org/W2094091661","https://openalex.org/W2096305430","https://openalex.org/W2112738128","https://openalex.org/W2144161334","https://openalex.org/W2148705556","https://openalex.org/W2148831787","https://openalex.org/W2152990587","https://openalex.org/W2168210873","https://openalex.org/W2169336598","https://openalex.org/W2171901130","https://openalex.org/W2172193321","https://openalex.org/W2799087070","https://openalex.org/W3104921985","https://openalex.org/W3145128584","https://openalex.org/W6658174788","https://openalex.org/W6786301650"],"related_works":["https://openalex.org/W2015747722","https://openalex.org/W2362050182","https://openalex.org/W2382418233","https://openalex.org/W2369897927","https://openalex.org/W3031731056","https://openalex.org/W4293167957","https://openalex.org/W189328514","https://openalex.org/W2143289692","https://openalex.org/W3049636605","https://openalex.org/W1974858599"],"abstract_inverted_index":{"City":[0],"express":[1,14,42],"services":[2],"are":[3,32],"in":[4,7,79,121],"great":[5],"demand":[6],"recent":[8],"years.":[9],"However,":[10],"the":[11,23,33,38,49,52,55,60,70,92,122,133],"current":[12],"city":[13,41],"system":[15,115],"is":[16],"found":[17],"to":[18,35,46,101],"be":[19],"unsatisfactory":[20],"for":[21,73],"both":[22,48],"service":[24],"providers":[25],"and":[26,51,107,116,136],"customers.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31,62,94],"first":[34],"systematically":[36],"study":[37],"large-scale":[39],"dynamic":[40],"problem.":[43],"We":[44,111],"aim":[45],"increase":[47],"effectiveness":[50,135],"efficiency":[53,137],"of":[54,76,126,138],"scheduling":[56],"algorithm.":[57,140],"To":[58,90],"improve":[59,91],"effectiveness,":[61],"adopt":[63],"a":[64,74,80,96,113],"batch":[65],"assignment":[66],"strategy":[67],"that":[68],"computes":[69],"pickup-delivery":[71],"routes":[72],"group":[75],"requests":[77],"received":[78],"short":[81],"period":[82],"rather":[83],"than":[84],"dealing":[85],"with":[86],"each":[87],"request":[88],"individually.":[89],"efficiency,":[93],"design":[95],"two-level":[97],"priority":[98],"queue":[99],"structure":[100],"reduce":[102],"redundant":[103],"shortest":[104],"distance":[105],"calculation":[106],"repeated":[108],"candidate":[109],"generation.":[110],"develop":[112],"simulation":[114],"conduct":[117],"extensive":[118],"performance":[119],"studies":[120],"real":[123],"road":[124],"network":[125],"Beijing":[127],"city.":[128],"The":[129],"experimental":[130],"results":[131],"demonstrate":[132],"high":[134],"our":[139]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
