{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T00:06:34Z","timestamp":1775261194958,"version":"3.50.1"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030033347","type":"print"},{"value":"9783030033354","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-03335-4_6","type":"book-chapter","created":{"date-parts":[[2018,11,1]],"date-time":"2018-11-01T08:14:02Z","timestamp":1541060042000},"page":"62-74","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Long Term Traffic Flow Prediction Using Residual Net and Deconvolutional Neural Network"],"prefix":"10.1007","author":[{"given":"Di","family":"Zang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dehai","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhihua","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keshuang","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,2]]},"reference":[{"issue":"3","key":"6_CR1","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1061\/(ASCE)0733-947X(1995)121:3(249)","volume":"121","author":"MM Hamed","year":"1995","unstructured":"Hamed, M.M., Al-Masaeid, H.R., Said, Z.M.B.: Short-term prediction of traffic volume in urban arterials. J. Transp. Eng. 121(3), 249\u2013254 (1995)","journal-title":"J. Transp. Eng."},{"issue":"04","key":"6_CR2","doi-asserted-by":"publisher","first-page":"43","DOI":"10.4236\/ijcns.2015.84005","volume":"08","author":"QT Tran","year":"2015","unstructured":"Tran, Q.T., Ma, Z., Li, H., Hao, L., Trinh, Q.K.: A multiplicative seasonal ARIMA\/GARCH model in EVN traffic prediction. International Journal of Communications, Network and System Sciences 08(04), 43\u201349 (2015)","journal-title":"International Journal of Communications, Network and System Sciences"},{"issue":"1","key":"6_CR3","doi-asserted-by":"publisher","first-page":"92","DOI":"10.3141\/2024-11","volume":"2024","author":"Yunlong Zhang","year":"2007","unstructured":"Y. Zhang and Y. Xie, \u201cForecasting of short-term freeway volume with V-support vector machines,\u201d Transp. Res. Rec., J. Transp. Res. Board, vol. 2024, pp. 92\u201399, 2007","journal-title":"Transportation Research Record: Journal of the Transportation Research Board"},{"issue":"3","key":"6_CR4","doi-asserted-by":"publisher","first-page":"6164","DOI":"10.1016\/j.eswa.2008.07.069","volume":"36","author":"M Castro-Neto","year":"2009","unstructured":"Castro-Neto, M., Jeong, Y., Jeong, M., Han, L.: Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions. Expert Syst. Appl. 36(3), 6164\u20136173 (2009)","journal-title":"Expert Syst. Appl."},{"issue":"2","key":"6_CR5","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1061\/(ASCE)0733-947X(1991)117:2(178)","volume":"117","author":"GA Davis","year":"1991","unstructured":"Davis, G.A., Nihan, N.L.: Nonparametric regression and short-term freeway traffic forecasting. J. Transp. Eng.-ASCE 117(2), 178\u2013188 (1991)","journal-title":"J. Transp. Eng.-ASCE"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Sun, B., Cheng, W., Goswami, P., Bai, G.: Flow-aware wpt k-nearest neighbours regression for short-term traffic prediction. In: 2017 IEEE Symposium on Computers and Communications (ISCC), pp. 48\u201353. IEEE (2017)","DOI":"10.1109\/ISCC.2017.8024503"},{"issue":"6","key":"6_CR7","doi-asserted-by":"publisher","first-page":"2457","DOI":"10.1109\/TITS.2014.2315794","volume":"15","author":"Y Xu","year":"2014","unstructured":"Xu, Y., Kong, Q.-J., Klette, R., Liu, Y.: Accurate and interpretable Bayesian MARS for traffic flow prediction. IEEE Trans. Intell. Transp. Syst. 15(6), 2457\u20132469 (2014)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"More, R., Mugal, A., Rajgure, S., Adhao, R.B., Pachghare, V.K.: Road traffic prediction and congestion control using artificial neural networks. In: International Conference on Computing, Analytics and Security Trends (CAST), pp. 52\u201357. IEEE (2016)","DOI":"10.1109\/CAST.2016.7914939"},{"issue":"2","key":"6_CR9","first-page":"865","volume":"16","author":"Y Lv","year":"2015","unstructured":"Lv, Y., Duan, Y., Kang, W., Li, Z., Wang, F.Y.: Traffic flow prediction with big data: a deep learning approach. IEEE Trans. Intell. Transp. Syst. 16(2), 865\u2013873 (2015)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"8","key":"6_CR10","doi-asserted-by":"publisher","first-page":"1930","DOI":"10.1109\/TPAMI.2012.277","volume":"35","author":"H Shin","year":"2013","unstructured":"Shin, H., Orton, M.R., Collins, D., Doran, S., Leach, M.: Stacked auto encoders for unsupervised feature learning and multiple organ detection in a pilot study using 4D patient data. IEEE Trans. Pattern Anal. Mach. Intell. 35(8), 1930\u20131943 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Tan, H., Xuan, X., Wu, K, Zhong, Y.: A comparison of traffic flow prediction methods based on DBN. In: 16th COTA International Conference of Transportation, pp. 273\u2013283 (2016)","DOI":"10.1061\/9780784479896.026"},{"issue":"5","key":"6_CR12","doi-asserted-by":"publisher","first-page":"2191","DOI":"10.1109\/TITS.2014.2311123","volume":"15","author":"W Huang","year":"2014","unstructured":"Huang, W., Song, G., Hong, H., Xie, K.: Deep architecture for traffic flow prediction: Deep belief networks with multitask learning. IEEE Trans. Intell. Transp. Syst. 15(5), 2191\u20132201 (2014)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"3","key":"6_CR13","doi-asserted-by":"publisher","first-page":"e0119044","DOI":"10.1371\/journal.pone.0119044","volume":"10","author":"X Ma","year":"2015","unstructured":"Ma, X., Yu, H., Wang, Y., Wang, Y.: Large-scale transportation network congestion evolution prediction using deep learning theory. PLoS ONE 10(3), e0119044 (2015)","journal-title":"PLoS ONE"},{"issue":"2","key":"6_CR14","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1049\/iet-its.2016.0208","volume":"11","author":"Z Zhao","year":"2017","unstructured":"Zhao, Z., Chen, W., Wu, X., Chen, P., Liu, J.: LSTM network: a deep learning approach for short-term traffic forecast. IET Intell. Transp. Syst. 11(2), 68\u201375 (2017)","journal-title":"IET Intell. Transp. Syst."},{"issue":"4","key":"6_CR15","doi-asserted-by":"publisher","first-page":"818","DOI":"10.3390\/s17040818","volume":"17","author":"X Ma","year":"2017","unstructured":"Ma, X., Dai, Z., He, Z., Ma, J., Wang, Y., Wang, Y.: Learning traffic as images: a deep convolutional neural network for large-scale transportation network speed prediction. Sensors 17(4), 818 (2017)","journal-title":"Sensors"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-03335-4_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T22:52:29Z","timestamp":1775256749000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-03335-4_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030033347","9783030033354"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-03335-4_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"2 November 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","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":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/prcv.qyhw.net.cn\/?lang=en&meeting_id=255","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}