{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T15:58:17Z","timestamp":1762444697085,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319623948"},{"type":"electronic","value":"9783319623955"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-3-319-62395-5_14","type":"book-chapter","created":{"date-parts":[[2017,7,6]],"date-time":"2017-07-06T00:52:59Z","timestamp":1499302379000},"page":"183-198","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Estimation of an Urban OD Matrix Using Different Information Sources"],"prefix":"10.1007","author":[{"given":"Asma","family":"Sba\u00ef","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Henk J.","family":"van Zuylen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangfang","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fattehallah","family":"Ghadi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,7,7]]},"reference":[{"key":"14_CR1","volume-title":"Handbook of Transport Modelling","author":"DA Hensher","year":"2000","unstructured":"Hensher, D.A., Button, K.J.: Handbook of Transport Modelling. Pergamon, Oxford (2000)"},{"key":"14_CR2","unstructured":"Van Zuylen, H.J.: Some improvements in the estimation of an OD matrix from traffic counts. In: The 8th Internaional Symposium on Transportation and Traffic Theory, Toronto (1981)"},{"issue":"3","key":"14_CR3","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1016\/0191-2615(80)90008-9","volume":"14","author":"HJ Van Zuylen","year":"1980","unstructured":"Van Zuylen, H.J., Willumsen, L.G.: The most likely trip matrix estimated from traffic counts. Transp. Res. 14(3), 281\u2013293 (1980)","journal-title":"Transp. Res."},{"key":"14_CR4","unstructured":"Li, J., van Zuylen, H.J., Wei, G.: Loop detector data error diagnosing and interpolating with probe vehicle data. Transp. Res. Rec. J. Transp. Res. Board (2014)"},{"key":"14_CR5","unstructured":"Li, J., van Zuylen, H.J., Liu, C., Lu, S.: Monitoring travel times in an urban network using video, GPS and Bluetooth. In: 14th Meeting of the Euro Working Group on Transportation, Poznan (2011). http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1877042811014509"},{"key":"14_CR6","unstructured":"Jones, P. M., Koppelman, F.S., Orfeuil, J.P.: Activity analysis: state of the art and future directions. In: Developments in Dynamic and Activity-Based Approaches to Travel Analysis, pp. 34\u201355 (1990)"},{"issue":"1","key":"14_CR7","doi-asserted-by":"publisher","first-page":"51","DOI":"10.3141\/2343-07","volume":"2342","author":"Y Ma","year":"2013","unstructured":"Ma, Y., Kuik, R., van Zuylen, H.J.: Day-to-day origin destination tuple estimation and prediction with hierarchical Bayesian networks using multiple data sources. Transp. Res. Rec. J. Transp. Res. Board 2342(1), 51\u201361 (2013)","journal-title":"Transp. Res. Rec. J. Transp. Res. Board"},{"issue":"6","key":"14_CR8","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1016\/0191-2615(83)90030-9","volume":"17","author":"MJ Maher","year":"1983","unstructured":"Maher, M.J.: Inferences on trip matrices from observations on link volumes: a Bayesian statistical approach. Transp. Res. Part B Methodol. 17(6), 435\u2013447 (1983)","journal-title":"Transp. Res. Part B Methodol."},{"issue":"442","key":"14_CR9","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1080\/01621459.1998.10473707","volume":"93","author":"C Tebaldi","year":"1998","unstructured":"Tebaldi, C., West, M.: Bayesian inference on network traffic using link count data. J. Am. Stat. Assoc. 93(442), 557\u2013573 (1998)","journal-title":"J. Am. Stat. Assoc."},{"issue":"4","key":"14_CR10","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1198\/004017005000000283","volume":"47","author":"B Li","year":"2005","unstructured":"Li, B.: Bayesian inference for origin-destination matrices of transport networks 1210 using the EM algorithm. Technometrics 47(4), 399\u2013408 (2005)","journal-title":"Technometrics"},{"key":"14_CR11","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1016\/0191-2615(84)90012-2","volume":"18B","author":"E Cascetta","year":"1984","unstructured":"Cascetta, E.: Estimation of trip matrices from traffic counts and survey data: a generalized least squares estimator. Transp. Res. 18B, 289\u2013299 (1984)","journal-title":"Transp. Res."},{"issue":"2","key":"14_CR12","doi-asserted-by":"publisher","first-page":"618","DOI":"10.1109\/TITS.2012.2226211","volume":"14","author":"T Toledo","year":"2013","unstructured":"Toledo, T., Kolechkina, T.: Estimation of dynamic origin\u2013destination matrices using linear assignment matrix approximations. IEEE Trans. Intell. Transp. Syst. 14(2), 618\u2013626 (2013)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"5","key":"14_CR13","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1016\/0191-2615(87)90037-3","volume":"21B","author":"HA Spiess","year":"1987","unstructured":"Spiess, H.A.: Maximum likelihood model for estimating origin-destination matrices. Transp. Res. 21B(5), 395\u2013412 (1987)","journal-title":"Transp. Res."},{"issue":"3","key":"14_CR14","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1007\/s12544-011-0058-1","volume":"3","author":"A Constantinos","year":"2011","unstructured":"Constantinos, A., Balakrishna, R., Koutsopoulos, H.N.: A synthesis of emerging data collection technologies and their impact on traffic management applications. Eur. Transp. Res. Rev. 3(3), 139\u2013148 (2011)","journal-title":"Eur. Transp. Res. Rev."},{"key":"14_CR15","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.trc.2012.07.003","volume":"26","author":"C Bachmann","year":"2013","unstructured":"Bachmann, C., Abdulhai, B., Roorda, M.J., Moshiri, B.: A comparative assessment of multi-sensor data fusion techniques for freeway traffic speed estimation using microsimulation modeling. Transp. Res. Part C Emerg. Technol. 26, 33\u201348 (2013)","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"14_CR16","unstructured":"Byon, Y., Shalaby, A., Abdulhai, B., Elshafiey, S.: Traffic data fusion using SCAAT Kalman filters. In: Transportation Research Board 89th Annual Meeting Compendium of Papers DVD, Washington, DC (2010)"},{"key":"14_CR17","doi-asserted-by":"crossref","unstructured":"Ma, Y., van Zuylen, H., Kuik, R.: Freight origin-destination estimation based on multiple data source. In: 2012 15th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 1239\u20131244. IEEE (2012)","DOI":"10.1109\/ITSC.2012.6338625"},{"key":"14_CR18","unstructured":"Ma, Y.: The use of advanced transportation monitoring data for official statistics. Thesis ERIM Series Research in Management, Rotterdam (2016)"},{"key":"14_CR19","unstructured":"Morimura, T., Kato, S.: Statistical origin-destination generation with multiple sources. In: 2012 21st International Conference on Pattern Recognition (ICPR), pp. 3443\u20133446. IEEE, November 2012"},{"key":"14_CR20","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.trc.2014.01.002","volume":"40","author":"MS Iqbal","year":"2014","unstructured":"Iqbal, M.S., Choudhury, C.F., Wang, P., Gonz\u00e1lez, M.C.: Development of origin\u2013destination matrices using mobile phone call data. Transp. Res. Part C Emerg. Technol. 40, 63\u201374 (2014)","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"14_CR21","unstructured":"Bugeda, B., Montero Mercad\u00e9, J., Marqu\u00e9s, L., Carmona, C.: A Kalman-filter approach for dynamic OD estimation in corridors based on Bluetooth and Wi-Fi data collection. In: 12th World Conference on Transportation Research, WCTR (2010)"},{"key":"14_CR22","doi-asserted-by":"crossref","unstructured":"Kostic, B., Gentile, G.: Using traffic data of various types in the estimation of dynamic OD matrices. In: 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), pp. 66\u201373. IEEE, June 2015","DOI":"10.1109\/MTITS.2015.7223238"},{"key":"14_CR23","unstructured":"Willumsen, L.G.: Estimating time-dependent trip matrices from traffic counts. In: Volmuller, J., Hamerslag, R. (eds.) Proceedings of the Ninth International Symposium on Transportation and Traffic Theory. VNU Science Press, Utrecht (1984)"},{"key":"14_CR24","doi-asserted-by":"publisher","first-page":"11","DOI":"10.3141\/2595-02","volume":"2595","author":"M Dunlap","year":"2016","unstructured":"Dunlap, M., et al.: Estimation of origin and destination information from Bluetooth and Wi-Fi sensing for transit. Transp. Res. Rec. J. Transp. Res. Board 2595, 11\u201317 (2016)","journal-title":"Transp. Res. Rec. J. Transp. Res. Board"},{"key":"14_CR25","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.trc.2015.08.009","volume":"66","author":"C Antoniou","year":"2016","unstructured":"Antoniou, C., Barcel\u00f3, J., Breen, M., Bullejos, M., Casas, J., Cipriani, E., Montero, L.: Towards a generic benchmarking platform for origin\u2013destination flows estimation\/updating algorithms: design, demonstration and validation. Transp. Res. Part C Emerg. Technol. 66, 79\u201398 (2016)","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"14_CR26","first-page":"79","volume-title":"Transportation and Traffic Flow Theory","author":"V Astaria","year":"1996","unstructured":"Astaria, V.: A continuous time link model for dynamic network loading based on travel time function. In: Lesort, J.-B. (ed.) Transportation and Traffic Flow Theory, pp. 79\u2013102. Pergamon, Oxford (1996)"},{"key":"14_CR27","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.trb.2016.03.011","volume":"89","author":"M Hadavi","year":"2016","unstructured":"Hadavi, M., Shafahi, Y.: Vehicle identification sensor models for origin\u2013destination estimation. Transp. Res. Part B Methodol. 89, 82\u2013106 (2016)","journal-title":"Transp. Res. Part B Methodol."},{"key":"14_CR28","doi-asserted-by":"crossref","unstructured":"Kikuchi, S., Miljkovic, D., van Zuylen, H.J.: Examination of methods that adjust observed traffic volumes on a network. Transportation Research Board Meeting, TRB Paper Number 00-1378 (2000)","DOI":"10.3141\/1717-14"},{"key":"14_CR29","doi-asserted-by":"crossref","unstructured":"Ye, P., Wen, D.: Optimal traffic sensor location for origin-destination estimation using a compressed sensing framework. IEEE Trans. Intell. Transp. Syst. (2016)","DOI":"10.1109\/TITS.2016.2614828"},{"key":"14_CR30","doi-asserted-by":"crossref","unstructured":"Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 27, 379\u2013423, 623\u2013656 (1948)","DOI":"10.1002\/j.1538-7305.1948.tb00917.x"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-62395-5_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T10:54:57Z","timestamp":1710327297000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-62395-5_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319623948","9783319623955"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-62395-5_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"7 July 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trieste","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 July 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}