{"id":"https://openalex.org/W4404611915","doi":"https://doi.org/10.1145/3678717.3691266","title":"Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services","display_name":"Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4404611915","doi":"https://doi.org/10.1145/3678717.3691266"},"language":"en","primary_location":{"id":"doi:10.1145/3678717.3691266","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678717.3691266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2505.00375","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033810585","display_name":"Jinhui Yi","orcid":"https://orcid.org/0000-0002-2339-2698"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinhui Yi","raw_affiliation_strings":["Department of Electronic Engineering, BNRist, Tsinghua University & JD Logistics, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, BNRist, Tsinghua University & JD Logistics, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003434396","display_name":"Huan Yan","orcid":"https://orcid.org/0000-0001-9626-5676"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Yan","raw_affiliation_strings":["Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101710780","display_name":"Haotian Wang","orcid":"https://orcid.org/0000-0001-9783-6389"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotian Wang","raw_affiliation_strings":["JD Logistics, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD Logistics, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347994","display_name":"Jian Yuan","orcid":"https://orcid.org/0000-0001-9734-6056"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yuan","raw_affiliation_strings":["Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033810585"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.7386,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76226054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"432","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9991000294685364,"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/T12306","display_name":"Urban and Freight Transport Logistics","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pickup","display_name":"Pickup","score":0.6761075854301453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.526265025138855},{"id":"https://openalex.org/keywords/content-delivery","display_name":"Content delivery","score":0.4334118366241455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.193416565656662},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11417844891548157}],"concepts":[{"id":"https://openalex.org/C2776221269","wikidata":"https://www.wikidata.org/wiki/Q572648","display_name":"Pickup","level":3,"score":0.6761075854301453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.526265025138855},{"id":"https://openalex.org/C2986847828","wikidata":"https://www.wikidata.org/wiki/Q269415","display_name":"Content delivery","level":2,"score":0.4334118366241455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.193416565656662},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11417844891548157},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3678717.3691266","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678717.3691266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2505.00375","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.00375","pdf_url":"https://arxiv.org/pdf/2505.00375","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2505.00375","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.00375","pdf_url":"https://arxiv.org/pdf/2505.00375","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404611915.pdf","grobid_xml":"https://content.openalex.org/works/W4404611915.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W2295598076","https://openalex.org/W2788114581","https://openalex.org/W2809128166","https://openalex.org/W2904628589","https://openalex.org/W2981664222","https://openalex.org/W2997705255","https://openalex.org/W3029687524","https://openalex.org/W3030299187","https://openalex.org/W3080227975","https://openalex.org/W3080344546","https://openalex.org/W3080501557","https://openalex.org/W3080548826","https://openalex.org/W3080707569","https://openalex.org/W3113878582","https://openalex.org/W3157241031","https://openalex.org/W3168794627","https://openalex.org/W3174924523","https://openalex.org/W3183749634","https://openalex.org/W3214160167","https://openalex.org/W4225341287","https://openalex.org/W4290927838","https://openalex.org/W4290943511","https://openalex.org/W4291127070","https://openalex.org/W4315706336","https://openalex.org/W4316923934","https://openalex.org/W4319167014","https://openalex.org/W4319594638","https://openalex.org/W4385283878","https://openalex.org/W4385567562","https://openalex.org/W4385568314","https://openalex.org/W4385568336","https://openalex.org/W4386038421","https://openalex.org/W4387841511","https://openalex.org/W4387846636","https://openalex.org/W4387847680"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2185313546","https://openalex.org/W2185850456","https://openalex.org/W2994962043","https://openalex.org/W2351571732","https://openalex.org/W1496169957","https://openalex.org/W2324305961","https://openalex.org/W1971021931"],"abstract_inverted_index":{"Accurately":[0],"estimating":[1],"package":[2,151,175],"delivery":[3,36,54,75,100,122,134,152,207,263],"time":[4,80,106,153,208],"is":[5,237,269],"essential":[6],"to":[7,73,77,116,163,183,243],"the":[8,47,51,63,74,159,165,180,185,190,199,212,227,260,273],"logistics":[9,27],"industry,":[10],"which":[11],"enables":[12],"reasonable":[13],"work":[14],"allocation":[15],"and":[16,37,53,173,210,259],"on-time":[17],"service":[18],"guarantee.":[19],"This":[20],"becomes":[21],"even":[22],"more":[23,245],"necessary":[24],"in":[25,111,189,218,240,257],"mixed":[26],"scenarios":[28],"where":[29],"couriers":[30,248],"handle":[31],"a":[32,38,66,148],"high":[33],"volume":[34],"of":[35,41,46,132,168,187,206,229,251,253,266],"smaller":[39],"number":[40],"pickup":[42,52,64,188],"simultaneously.":[43],"However,":[44],"most":[45],"related":[48],"works":[49],"treat":[50],"patterns":[55,128,186],"on":[56,69,120,222,235],"couriers'":[57,70,99,121,125,169],"decision":[58],"behavior":[59],"equally,":[60],"neglecting":[61],"that":[62],"has":[65],"greater":[67],"impact":[68],"decision-making":[71],"compared":[72],"due":[76],"its":[78],"tighter":[79],"constraints.":[81],"In":[82],"such":[83],"context,":[84],"we":[85,145,178],"have":[86,104,137],"three":[87],"main":[88],"challenges:":[89],"1)":[90],"multiple":[91],"spatiotemporal":[92],"factors":[93],"are":[94,109,129],"intricately":[95],"interconnected,":[96],"significantly":[97],"affecting":[98],"behavior;":[101],"2)":[102],"pickups":[103],"stricter":[105],"requirements":[107],"but":[108,136],"limited":[110],"number,":[112],"making":[113],"it":[114],"challenging":[115],"model":[117],"their":[118,133],"effects":[119],"process;":[123],"3)":[124],"spatial":[126,215],"mobility":[127],"critical":[130],"determinants":[131],"behavior,":[135],"been":[138],"insufficiently":[139],"explored.":[140],"To":[141],"deal":[142],"with":[143],"these,":[144],"propose":[146],"TransPDT,":[147],"Transformer-based":[149],"multi-task":[150],"prediction":[154,201],"model.":[155],"We":[156,196],"first":[157],"employ":[158],"Transformer":[160],"encoder":[161],"architecture":[162],"capture":[164],"spatio-temporal":[166],"dependencies":[167],"historical":[170],"travel":[171],"routes":[172],"pending":[174],"sets.":[176],"Then":[177],"design":[179],"pattern":[181],"memory":[182],"learn":[184],"imbalanced":[191],"dataset":[192],"via":[193],"attention":[194],"mechanism.":[195],"also":[197],"set":[198],"route":[200],"as":[202],"an":[203],"auxiliary":[204],"task":[205],"prediction,":[209],"incorporate":[211],"prior":[213],"courier":[214],"movement":[216],"regularities":[217],"prediction.":[219],"Extensive":[220],"experiments":[221],"real":[223],"industry-scale":[224],"datasets":[225],"demonstrate":[226],"superiority":[228],"our":[230],"method.":[231],"A":[232],"system":[233],"based":[234],"TransPDT":[236],"deployed":[238,267],"internally":[239],"JD":[241],"Logistics":[242],"track":[244],"than":[246,272],"2000":[247],"handling":[249],"hundreds":[250],"thousands":[252],"packages":[254],"per":[255],"day":[256],"Beijing,":[258],"average":[261],"daily":[262],"timely":[264],"rate":[265],"stations":[268],"0.68%":[270],"higher":[271],"non-deployed":[274],"stations.":[275]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}