{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T14:22:58Z","timestamp":1782483778674,"version":"3.54.5"},"reference-count":52,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2020,12,17]],"date-time":"2020-12-17T00:00:00Z","timestamp":1608163200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100013314","name":"111 Project","doi-asserted-by":"crossref","award":["B18008"],"award-info":[{"award-number":["B18008"]}],"id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2020XD-A09-1"],"award-info":[{"award-number":["2020XD-A09-1"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Funds for International Cooperation and Exchange of NSFC","award":["61720106007"],"award-info":[{"award-number":["61720106007"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972044, 61732017"],"award-info":[{"award-number":["61972044, 61732017"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018AAA0101201"],"award-info":[{"award-number":["2018AAA0101201"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. ACM Interact. Mob. Wearable Ubiquitous Technol."],"published-print":{"date-parts":[[2020,12,17]]},"abstract":"<jats:p>To address the increasingly serious parking pain, numerous mobile Apps have emerged to help drivers to find a convenient parking spot with various auxiliary information. However, the phenomenon of \"multiple cars chasing the same spot\" still exists, especially for on-street parking. Existing reservation-based resource allocation solutions could address the parking competition issue to some extent, but it is impractical to treat all spots as reservable resources. This paper first conducts a qualitative investigation based on the online survey data, which identifies diversified parking requirements involving i) reserved users, who request guaranteed spots with a reservation fee, ii) normal users, who request non-guaranteed spots with a \"best-effort\" service, and iii) external users, who do not use any guidance service. To this end, we design the D2Park system for diversified demand-aware parking guidance services. We formulate the problem as a novel Heterogeneous-Agent Dynamic Resource Allocation (HADRA) problem, which considers both current and future parking demands, and different constraints for diversified requirements. Two main modules are used in the system: 1) multi-step parking prediction, which makes multi-step parking inflow and occupancy rate predictions given the current parking events data and external factors; and 2) diversified parking guidance, which integrates the cooperation-based and competition-based resource allocation mechanisms based on a model predictive control framework to achieve a better performance balance among different user groups. Extensive experiments with a four-month real-world on-street parking dataset from the Chinese city Shenzhen demonstrate the effectiveness and efficiency of D2Park.<\/jats:p>","DOI":"10.1145\/3432214","type":"journal-article","created":{"date-parts":[[2020,12,18]],"date-time":"2020-12-18T15:39:14Z","timestamp":1608305954000},"page":"1-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["D2Park"],"prefix":"10.1145","volume":"4","author":[{"given":"Dong","family":"Zhao","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zijian","family":"Cao","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Ju","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Desheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Rutgers University, Piscataway, NJ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huadong","family":"Ma","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,12,18]]},"reference":[{"key":"e_1_2_2_1_1","volume-title":"Sergio Di Martino, and Antonio Origlia","author":"Bock Fabian","year":"2019"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2902887"},{"key":"e_1_2_2_3_1","unstructured":"curbflow. 2019. curbFlow. https:\/\/www.curbflow.com.  curbflow. 2019. curbFlow. https:\/\/www.curbflow.com."},{"key":"e_1_2_2_4_1","volume-title":"Approximation algorithms for dynamic resource allocation. Operations research letters 34, 2","author":"Farias Vivek F","year":"2006"},{"key":"e_1_2_2_5_1","first-page":"1","article-title":"PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning","volume":"4","author":"Feng Jie","year":"2020","journal-title":"Proc. of ACM IMWUT"},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/0005-1098(89)90002-2"},{"key":"e_1_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013656"},{"key":"e_1_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2252428"},{"key":"e_1_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CBI.2013.14"},{"key":"e_1_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460966"},{"key":"e_1_2_2_11_1","unstructured":"INRIX. 2017. Searching for Parking Costs Americans $73 Billion a Year. https:\/\/inrix.com\/press-releases\/parking-pain-us\/.  INRIX. 2017. Searching for Parking Costs Americans $73 Billion a Year. https:\/\/inrix.com\/press-releases\/parking-pain-us\/."},{"key":"e_1_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2013.0184"},{"key":"e_1_2_2_13_1","first-page":"1","article-title":"Deep ROI-based modeling for urban human mobility prediction","volume":"2","author":"Jiang Renhe","year":"2018","journal-title":"Proc. of ACM IMWUT"},{"key":"e_1_2_2_14_1","volume-title":"Proc. of AISTATS.","author":"Kamthe Sanket","year":"2018"},{"key":"e_1_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2012.03.002"},{"key":"e_1_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2012.6195845"},{"key":"e_1_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2017.2666586"},{"key":"e_1_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2531636"},{"key":"e_1_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2685143"},{"key":"e_1_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/SAHCN.2018.8397113"},{"key":"e_1_2_2_21_1","first-page":"78","article-title":"Your Search Path Tells Others Where to Park: Towards Fine-Grained Parking Availability Crowdsourcing Using Parking Decision Models","volume":"1","author":"Liu Ruilin","year":"2017","journal-title":"Proc. of ACM IMWUT"},{"key":"e_1_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.05.021"},{"key":"e_1_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/1814433.1814448"},{"key":"e_1_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569921"},{"key":"e_1_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8463189"},{"key":"e_1_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2632048.2632098"},{"key":"e_1_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2500423.2500438"},{"key":"e_1_2_2_28_1","unstructured":"ParkMobile. 2020. ParkMobile Makes Parking a Breeze. https:\/\/parkmobile.io\/how-it-works\/.  ParkMobile. 2020. ParkMobile Makes Parking a Breeze. https:\/\/parkmobile.io\/how-it-works\/."},{"key":"e_1_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2428705"},{"key":"e_1_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219876"},{"key":"e_1_2_2_31_1","first-page":"1","article-title":"Dynamic Public Resource Allocation Based on Human Mobility Prediction","volume":"4","author":"Ruan Sijie","year":"2020","journal-title":"Proc. of ACM IMWUT"},{"key":"e_1_2_2_32_1","volume-title":"Proc. of International Conference on Green, Pervasive, and Cloud Computing. 124--137","author":"Shao Wei","year":"2018"},{"key":"e_1_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCIT.2017.8261235"},{"key":"e_1_2_2_34_1","unstructured":"Elizabeth Helen Spencer. 2019. Best Parking App: 7 Innovative Apps For Cheap Parking. https:\/\/www.moneyunder30.com\/best-parking-app.  Elizabeth Helen Spencer. 2019. Best Parking App: 7 Innovative Apps For Cheap Parking. https:\/\/www.moneyunder30.com\/best-parking-app."},{"key":"e_1_2_2_35_1","unstructured":"SZRTC. 2014. Yitingche. https:\/\/www.szrtc.cn.  SZRTC. 2014. Yitingche. https:\/\/www.szrtc.cn."},{"key":"e_1_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.3141\/2489-09"},{"key":"e_1_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1080\/15472450.2015.1037955"},{"key":"e_1_2_2_38_1","first-page":"1","article-title":"FairCharge: A Data-Driven Fairness-Aware Charging Recommendation System for Large-Scale Electric Taxi Fleets","volume":"4","author":"Wang Guang","year":"2020","journal-title":"Proc. of ACM IMWUT"},{"key":"e_1_2_2_39_1","first-page":"1","article-title":"CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach","volume":"3","author":"Wang Qianru","year":"2019","journal-title":"Proc. of ACM IMWUT"},{"key":"e_1_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2013.2268549"},{"key":"e_1_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2018.04.001"},{"key":"e_1_2_2_42_1","first-page":"16","article-title":"Real-time street parking availability estimation","volume":"1","author":"Xu Bo","year":"2013","journal-title":"Proc. of IEEE MDM"},{"key":"e_1_2_2_43_1","volume-title":"SmartParking: A secure and intelligent parking system","author":"Yan Gongjun","year":"2011"},{"key":"e_1_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.08.010"},{"key":"e_1_2_2_45_1","volume-title":"Proc. of AAAI.","author":"Yao Huaxiu","year":"2018"},{"key":"e_1_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"e_1_2_2_47_1","volume-title":"Proc. of AAAI.","author":"Zhang Junbo","year":"2017"},{"key":"e_1_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2015.11.054"},{"key":"e_1_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPS.2018.00037"},{"key":"e_1_2_2_50_1","volume-title":"Proc. of IEEE ISSNIP. 1--6.","author":"Zheng Yanxu","year":"2015"},{"key":"e_1_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623359"},{"key":"e_1_2_2_52_1","volume-title":"Proc. of ITS World Congress.","author":"Zoeter Onno","year":"2012"}],"container-title":["Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3432214","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3432214","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:47:09Z","timestamp":1750193229000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3432214"}},"subtitle":["Diversified Demand-aware On-street Parking Guidance"],"short-title":[],"issued":{"date-parts":[[2020,12,17]]},"references-count":52,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,12,17]]}},"alternative-id":["10.1145\/3432214"],"URL":"https:\/\/doi.org\/10.1145\/3432214","relation":{},"ISSN":["2474-9567"],"issn-type":[{"value":"2474-9567","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12,17]]},"assertion":[{"value":"2020-12-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}