{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T14:25:10Z","timestamp":1726064710270},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030388218"},{"type":"electronic","value":"9783030388225"}],"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"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-38822-5_4","type":"book-chapter","created":{"date-parts":[[2020,1,9]],"date-time":"2020-01-09T16:02:33Z","timestamp":1578585753000},"page":"47-60","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Generic Predictive Model for On-Street Parking Availability"],"prefix":"10.1007","author":[{"given":"Eren","family":"Unlu","sequence":"first","affiliation":[]},{"given":"Jean-Baptiste","family":"Delfau","sequence":"additional","affiliation":[]},{"given":"Bich","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Eric","family":"Chau","sequence":"additional","affiliation":[]},{"given":"Mehdi","family":"Chouiten","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,1,10]]},"reference":[{"unstructured":"eParkomat, city smart parking s.r.o. \nhttp:\/\/eparkomat.com\n\n. Accessed 12 May 2019","key":"4_CR1"},{"unstructured":"opendataParis, 2014 on-street parking transactions. \nhttps:\/\/opendata.paris.fr\/explore\/dataset\/horodateurs-transactions-de-paiement\/information\/\n\n. Accessed 31 May 2019","key":"4_CR2"},{"doi-asserted-by":"crossref","unstructured":"AlAwadhi, S., Scholl, H.J.: Aspirations and realizations: the smart city of Seattle. In: 2013 46th Hawaii International Conference on System Sciences, pp. 1695\u20131703. IEEE (2013)","key":"4_CR3","DOI":"10.1109\/HICSS.2013.102"},{"unstructured":"Anghel, A., Papandreou, N., Parnell, T., de Palma, A., Pozidis, H.: Benchmarking and optimization of gradient boosting decision tree algorithms","key":"4_CR4"},{"key":"4_CR5","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.jue.2014.12.005","volume":"86","author":"R Arnott","year":"2015","unstructured":"Arnott, R., Inci, E., Rowse, J.: Downtown curbside parking capacity. J. Urban Econ. 86, 83\u201397 (2015)","journal-title":"J. Urban Econ."},{"issue":"1","key":"4_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.regsciurbeco.2008.08.001","volume":"39","author":"R Arnott","year":"2009","unstructured":"Arnott, R., Rowse, J.: Downtown parking in auto city. Reg. Sci. Urban Econ. 39(1), 1\u201314 (2009)","journal-title":"Reg. Sci. Urban Econ."},{"key":"4_CR7","doi-asserted-by":"publisher","first-page":"44059","DOI":"10.1109\/ACCESS.2018.2864157","volume":"6","author":"C Badii","year":"2018","unstructured":"Badii, C., Nesi, P., Paoli, I.: Predicting available parking slots on critical and regular services by exploiting a range of open data. IEEE Access 6, 44059\u201344071 (2018)","journal-title":"IEEE Access"},{"issue":"6","key":"4_CR8","first-page":"493","volume":"2","author":"AL Boulesteix","year":"2012","unstructured":"Boulesteix, A.L., Janitza, S., Kruppa, J., K\u00f6nig, I.R.: Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics. Wiley Interdisc. Rev.: Data Min. Knowl. Discov. 2(6), 493\u2013507 (2012)","journal-title":"Wiley Interdisc. Rev.: Data Min. Knowl. Discov."},{"unstructured":"Breiman, L.: Manual on setting up, using, and understanding random forests v3. 1. Statistics Department University of California Berkeley, CA, USA 1 (2002)","key":"4_CR9"},{"unstructured":"Chen, X.: Parking occupancy prediction and pattern analysis. Department Computer Science, Stanford University, Stanford, CA, USA, Technical Report CS229-2014 (2014)","key":"4_CR10"},{"unstructured":"Cookson, G., Pishue, B.: The impact of parking pain in the us, UK and Germany. Hg. v. INRIX Research (2017). Online verf\u00fcgbar unter \nhttp:\/\/inrix.com\/research\/parking-pain\/\n\n. zuletzt gepr\u00fcft am 21, 2018","key":"4_CR11"},{"unstructured":"Dorogush, A.V., Ershov, V., Gulin, A.: CatBoost: gradient boosting with categorical features support. arXiv preprint \narXiv:1810.11363\n\n (2018)","key":"4_CR12"},{"key":"4_CR13","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.trb.2017.03.012","volume":"101","author":"SF Franco","year":"2017","unstructured":"Franco, S.F.: Downtown parking supply, work-trip mode choice and urban spatial structure. Transp. Res. Part B: Methodol. 101, 107\u2013122 (2017)","journal-title":"Transp. Res. Part B: Methodol."},{"issue":"4","key":"4_CR14","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/MPRV.2008.80","volume":"7","author":"M Haklay","year":"2008","unstructured":"Haklay, M., Weber, P.: OpenStreetMap: user-generated street maps. IEEE Pervasive Comput. 7(4), 12\u201318 (2008)","journal-title":"IEEE Pervasive Comput."},{"issue":"1\u20132","key":"4_CR15","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.ecotra.2014.11.001","volume":"4","author":"E Inci","year":"2015","unstructured":"Inci, E.: A review of the economics of parking. Econ. Transp. 4(1\u20132), 50\u201363 (2015)","journal-title":"Econ. Transp."},{"issue":"2","key":"4_CR16","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1016\/j.regsciurbeco.2012.10.001","volume":"43","author":"MB Kobus","year":"2013","unstructured":"Kobus, M.B., Guti\u00e9rrez-i Puigarnau, E., Rietveld, P., Van Ommeren, J.N.: The on-street parking premium and car drivers\u2019 choice between street and garage parking. Reg. Sci. Urban Econ. 43(2), 395\u2013403 (2013)","journal-title":"Reg. Sci. Urban Econ."},{"issue":"11","key":"4_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v036.i11","volume":"36","author":"MB Kursa","year":"2010","unstructured":"Kursa, M.B., Rudnicki, W.R., et al.: Feature selection with the Boruta package. J. Stat. Softw. 36(11), 1\u201313 (2010)","journal-title":"J. Stat. Softw."},{"issue":"3","key":"4_CR18","first-page":"18","volume":"2","author":"A Liaw","year":"2002","unstructured":"Liaw, A., Wiener, M., et al.: Classification and regression by randomforest. R News 2(3), 18\u201322 (2002)","journal-title":"R News"},{"unstructured":"Lin, T.S.: Smart parking: network, infrastructure and urban service. Ph.D. thesis, Lyon, INSA (2015)","key":"4_CR19"},{"unstructured":"Louppe, G., Wehenkel, L., Sutera, A., Geurts, P.: Understanding variable importances in forests of randomized trees. In: Advances in Neural Information Processing Systems, pp. 431\u2013439 (2013)","key":"4_CR20"},{"issue":"5","key":"4_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":"4_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1007\/978-3-030-15093-8_9","volume-title":"Green, Pervasive, and Cloud Computing","author":"W Shao","year":"2019","unstructured":"Shao, W., Zhang, Y., Guo, B., Qin, K., Chan, J., Salim, F.D.: Parking availability prediction with long short term memory model. In: Li, S. (ed.) GPC 2018. LNCS, vol. 11204, pp. 124\u2013137. Springer, Cham (2019). \nhttps:\/\/doi.org\/10.1007\/978-3-030-15093-8_9"},{"issue":"6","key":"4_CR23","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1016\/j.tranpol.2006.05.005","volume":"13","author":"DC Shoup","year":"2006","unstructured":"Shoup, D.C.: Cruising for parking. Transp. Policy 13(6), 479\u2013486 (2006)","journal-title":"Transp. Policy"},{"unstructured":"Tiedemann, T., V\u00f6gele, T., Krell, M.M., Metzen, J.H., Kirchner, F.: Concept of a data thread based parking space occupancy prediction in a Berlin pilot region. In: Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence (2015)","key":"4_CR24"},{"issue":"2","key":"4_CR25","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1016\/j.ecotra.2014.05.001","volume":"3","author":"J Ommeren Van","year":"2014","unstructured":"Van Ommeren, J., Russo, G.: Time-varying parking prices. Econ. Transp. 3(2), 166\u2013174 (2014)","journal-title":"Econ. Transp."},{"issue":"2","key":"4_CR26","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., Karlaftis, M.G.: A real-time parking prediction system for smart cities. J. Intell. Transp. Syst. 20(2), 192\u2013204 (2016)","journal-title":"J. Intell. Transp. Syst."},{"doi-asserted-by":"crossref","unstructured":"Zhang, F., Fleyeh, H.: Short term electricity price forecasting using CatBoost and bidirectional long short term memory neural network (2018)","key":"4_CR27","DOI":"10.1109\/EEM.2019.8916412"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Intelligent Transport Systems. From Research and Development to the Market Uptake"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-38822-5_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,9]],"date-time":"2020-01-09T16:02:54Z","timestamp":1578585774000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-38822-5_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030388218","9783030388225"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-38822-5_4","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"10 January 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"INTSYS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Transport Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Braga","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"intsys2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/futuretransport.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}