{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T20:10:53Z","timestamp":1742933453504,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030642426"},{"type":"electronic","value":"9783030642433"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-64243-3_19","type":"book-chapter","created":{"date-parts":[[2020,12,4]],"date-time":"2020-12-04T00:03:55Z","timestamp":1607040235000},"page":"244-256","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Prediction Technology for Parking Occupancy Based on Multi-dimensional Spatial-Temporal Causality and ANN Algorithm"],"prefix":"10.1007","author":[{"given":"Jian","family":"He","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4852-8421","authenticated-orcid":false,"given":"Jiahao","family":"Bai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,12,4]]},"reference":[{"key":"19_CR1","unstructured":"Figueiredo, L., Jesus, I., Machado, J.A.T.: Towards the development of intelligent transportation systems. Intell. Transp. Syst., 1206\u20131211 (2001)"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Nugent, C.D., Hong, X., Hallberg, J.: Assessing the impact of individual sensor reliability within smart living environments. In: IEEE International Conference on Automation Science and Engineering, pp. 685\u2013690 (2008)","DOI":"10.1109\/COASE.2008.4626548"},{"key":"19_CR3","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.pmcj.2017.12.004","volume":"43","author":"A Rahim","year":"2017","unstructured":"Rahim, A., et al.: Vehicular social networks: a survey. Pervasive Mobile Comput. 43, 96\u2013113 (2017)","journal-title":"Pervasive Mobile Comput."},{"issue":"5","key":"19_CR4","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1109\/MCOM.2017.1600263","volume":"55","author":"Z Ning","year":"2017","unstructured":"Ning, Z., Xia, F., Ullah, N., Kong, X., Hu, X.: Vehicular social networks: enabling smart mobility. IEEE Commun. Mag. 55(5), 16\u201355 (2017)","journal-title":"IEEE Commun. Mag."},{"issue":"2","key":"19_CR5","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1002\/atr.5670420204","volume":"42","author":"H Teng","year":"2008","unstructured":"Teng, H., Qi, Y., Martinelli, D.R.: Parking difficulty and parking information system technologies and costs. J. Adv. Transp. 42(2), 151\u2013178 (2008)","journal-title":"J. Adv. Transp."},{"key":"19_CR6","unstructured":"Yang, Z., Liu, H., Wang, X.: The research on the key technologies for improving efficiency of parking guidance system. Intell. Transp. Syst., 2, 1177\u20131182 (2003)"},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"Liu, S., Guan, H., Yan, H.: Unoccupied parking space prediction of chaotic time series. In: Tenth International Conference of Chinese Transportation Professionals, pp. 2122\u20132131 (2010)","DOI":"10.1061\/41127(382)228"},{"issue":"4","key":"19_CR8","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/j.trc.2014.04.010","volume":"44","author":"JH Shin","year":"2014","unstructured":"Shin, J.H., Jun, H.B.: A study on smart parking guidance algorithm. Transp. Res. Part C Emerg. Technol. 44(4), 299\u2013317 (2014)","journal-title":"Transp. Res. Part C Emerg. Technol."},{"issue":"4","key":"19_CR9","doi-asserted-by":"publisher","first-page":"1624","DOI":"10.1007\/s11771-014-2104-3","volume":"21","author":"PT Blythe","year":"2014","unstructured":"Blythe, P.T.: Forecasting available parking space with 1argest Lyapunov exponents method. J. Central South Univ. 21(4), 1624 (2014)","journal-title":"J. Central South Univ."},{"key":"19_CR10","doi-asserted-by":"publisher","first-page":"77","DOI":"10.3141\/2489-09","volume":"2489","author":"A Tamrazian","year":"2015","unstructured":"Tamrazian, A., Qian, Z., Rajagopa, R.: Where is my parking spot? Transp. Res. Record J. Transp. Res. Board 2489, 77\u201385 (2015)","journal-title":"Transp. Res. Record J. Transp. Res. Board"},{"issue":"3","key":"19_CR11","doi-asserted-by":"publisher","first-page":"424","DOI":"10.2307\/1912791","volume":"37","author":"CWJ Granger","year":"1969","unstructured":"Granger, C.W.J.: Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37(3), 424\u2013438 (1969)","journal-title":"Econometrica"},{"issue":"1","key":"19_CR12","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/S0169-2070(97)00044-7","volume":"14","author":"G Zhang","year":"1998","unstructured":"Zhang, G., Patuwo, B.E., Hu, M.Y.: Forecasting with artificial neural networks: the state of the art. Int. J. Forecast. 14(1), 35\u201362 (1998)","journal-title":"Int. J. Forecast."},{"issue":"1","key":"19_CR13","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1006\/juec.1998.2084","volume":"45","author":"R Arnott","year":"1999","unstructured":"Arnott, R., Rowse, J.: Modeling parking. J. Urban Econ. 45(1), 97\u2013124 (1999)","journal-title":"J. Urban Econ."},{"issue":"8","key":"19_CR14","doi-asserted-by":"publisher","first-page":"7281","DOI":"10.1016\/j.eswa.2012.01.091","volume":"39","author":"F Caicedo","year":"2012","unstructured":"Caicedo, F., Blazquez, C., Miranda, P.: Prediction of parking space availability in real time. Expert Syst. Appl. 39(8), 7281\u20137290 (2012)","journal-title":"Expert Syst. Appl."},{"key":"19_CR15","doi-asserted-by":"crossref","unstructured":"Rajabioun, T., Foster, B., Ioannou, P.: Intelligent parking assist. Control Autom., 1156\u20131161 (2013)","DOI":"10.1109\/MED.2013.6608866"},{"key":"19_CR16","doi-asserted-by":"crossref","unstructured":"Nandugudi, A., Ki, T., Nuessle, C.: PocketParker: pocketsourcing parking lot availability, pp. 963\u2013973 (2014)","DOI":"10.1145\/2632048.2632098"},{"issue":"1","key":"19_CR17","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1109\/MITS.2013.2268549","volume":"6","author":"HK Wu","year":"2014","unstructured":"Wu, H.K., Sahoo, J., Liu, C.Y.: Agile urban parking recommendation service for intelligent vehicular guiding system. Intell. Transp. Syst. Mag. IEEE 6(1), 35\u201349 (2014)","journal-title":"Intell. Transp. Syst. Mag. IEEE"},{"key":"19_CR18","doi-asserted-by":"crossref","unstructured":"Ziat, A., Leroy, B., Baskiotis, N.: Joint prediction of road-traffic and parking occupancy over a city with representation learning. In: International Conference on Intelligent Transportation Systems, pp. 725\u2013730 (2016)","DOI":"10.1109\/ITSC.2016.7795634"},{"issue":"2","key":"19_CR19","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1080\/15472450.2015.1037955","volume":"20","author":"EI Vlahogianni","year":"2016","unstructured":"Vlahogianni, E.I., Kepaptsoglou, K., Tsetsos, V.: A real-time parking prediction system for smart cities. J. Intell. Transp. Syst. 20(2), 192\u2013204 (2016)","journal-title":"J. Intell. Transp. Syst."},{"key":"19_CR20","doi-asserted-by":"crossref","unstructured":"Richter, F., Martino, S.D., Mattfeld, D.C.: Temporal and spatial clustering for a parking prediction service. In: International Conference on TOOLS with Artificial Intelligence, pp. 278\u2013282 (2014)","DOI":"10.1109\/ICTAI.2014.49"},{"issue":"5","key":"19_CR21","doi-asserted-by":"publisher","first-page":"2913","DOI":"10.1109\/TITS.2015.2428705","volume":"16","author":"T Rajabioun","year":"2015","unstructured":"Rajabioun, T., Ioannou, P.A.: On-Street and off-street parking availability prediction using multivariate spatiotemporal models. IEEE Trans. Intell. Transp. Syst. 16(5), 2913\u20132924 (2015)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"19_CR22","unstructured":"Pfl\u00fcgler, C., K\u00f6hn, T., Schreieck, M.: Predicting the availability of parking spaces with publicly available data. In: Informatik, pp. 361\u2013374 (2016)"},{"key":"19_CR23","doi-asserted-by":"crossref","unstructured":"Ali, M.I., Gao, F., Mileo, A.: CityBench: a configurable benchmark to evaluate rsp engines using smart city datasets. In: International Semantic Web Conference, pp.374\u2013389 (2015)","DOI":"10.1007\/978-3-319-25010-6_25"},{"key":"19_CR24","unstructured":"Bischof, S., Karapantelakis, A., Sheth, A.: Semantic modelling of smart city data. Position Paper in W3C Workshop on the Web of Things: enablers and services for an open Web of Devices, 1\u20135 (2014)"},{"key":"19_CR25","doi-asserted-by":"crossref","unstructured":"Kolozali, S., Bermudez-Edo, M., Puschmann, D.: A knowledge-based approach for real-time IoT data stream annotation and processing. Internet Things, 215\u2013222. IEEE (2015)","DOI":"10.1109\/iThings.2014.39"},{"issue":"12","key":"19_CR26","doi-asserted-by":"publisher","first-page":"8879","DOI":"10.1016\/j.eswa.2010.06.008","volume":"37","author":"P Hanafizadeh","year":"2010","unstructured":"Hanafizadeh, P., Ravasan, A.Z., Khaki, H.R.: An expert system for perfume selection using artificial neural network. Expert Syst. Appl. 37(12), 8879\u20138887 (2010)","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"19_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/0191-2615(84)90002-X","volume":"18","author":"I Okutani","year":"1984","unstructured":"Okutani, I., Stephanedes, Y.J.: Dynamic prediction of traffic volume through Kalman filtering theory. Transp. Res. Part B 18(1), 1\u201311 (1984)","journal-title":"Transp. Res. Part B"},{"key":"19_CR28","doi-asserted-by":"crossref","unstructured":"Ji, H., Xu, A.: The applied research of Kalman in the dynamic travel time prediction. In: International Conference on Geoinformatics, pp. 1\u20135. IEEE (2010)","DOI":"10.1109\/GEOINFORMATICS.2010.5567722"}],"container-title":["Lecture Notes in Computer Science","Green, Pervasive, and Cloud Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-64243-3_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,4]],"date-time":"2020-12-04T00:14:15Z","timestamp":1607040855000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-64243-3_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030642426","9783030642433"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-64243-3_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"4 December 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"GPC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Green, Pervasive, and Cloud Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"gpc2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.gpc2020.cn\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"96","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}