{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T11:02:19Z","timestamp":1742986939735,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031775703"},{"type":"electronic","value":"9783031775710"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-77571-0_48","type":"book-chapter","created":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T02:01:17Z","timestamp":1734660077000},"page":"509-514","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Obtaining the Origin-Destination Matrix in Transportation"],"prefix":"10.1007","author":[{"given":"Higinio","family":"Mora Mora","sequence":"first","affiliation":[]},{"given":"Virgilio","family":"Gilart-Iglesias","sequence":"additional","affiliation":[]},{"given":"Javier Garc\u00eda","family":"Barba","sequence":"additional","affiliation":[]},{"given":"Luis Aragon\u00e9s","family":"Pomares","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5758-729X","authenticated-orcid":false,"given":"Alejandro","family":"Sirvent-Llamas","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,21]]},"reference":[{"key":"48_CR1","doi-asserted-by":"publisher","unstructured":"Tanaka, M., Kimata, T., Arai, T.: Estimation of passenger origin-destination matrices and efficiency evaluation of public transportation. In: Proceedings -2016: 5th IIAI International Congress on Advanced Applied Informatics. IIAI-AAI 2016\u00a0(2016). https:\/\/doi.org\/10.1109\/IIAI-AAI.2016.11","DOI":"10.1109\/IIAI-AAI.2016.11"},{"key":"48_CR2","doi-asserted-by":"publisher","unstructured":"Bates, J.: History of Demand Modelling. In: Hensher,\u00a0 D.A., Button, K.J. (eds.) Handbook of Transport Modelling, vol. 1,\u00a0pp. 11\u201334.\u00a0 Emerald Group Publishing Limited, Leeds (2007). https:\/\/doi.org\/10.1108\/9780857245670-002","DOI":"10.1108\/9780857245670-002"},{"key":"48_CR3","doi-asserted-by":"publisher","unstructured":"Vlahogianni, E.I., Karlaftis, M.G., Golias, J.C.: Short-term traffic forecasting: where we are and where we\u2019re going. Transp. Res. Part C Emerg. Technol. 43, 3\u201319 (2014). https:\/\/doi.org\/10.1016\/J.TRC.2014.01.005","DOI":"10.1016\/J.TRC.2014.01.005"},{"key":"48_CR4","unstructured":"Richardson, A.J., Ampt, E.S., Meyburg, A.H.: Survey methods for transport planninG, Sobre as Cores que H\u00e1, p. 231\/237 (1995)"},{"key":"48_CR5","doi-asserted-by":"publisher","unstructured":"G. Michau et al., \u201cA primal-dual algorithm for link dependent origin destination matrix estimation,\u201d IEEE Trans Signal Inf Process Netw, vol. 3, no. 1, 2017, https:\/\/doi.org\/10.1109\/TSIPN.2016.2623094","DOI":"10.1109\/TSIPN.2016.2623094"},{"key":"48_CR6","doi-asserted-by":"publisher","unstructured":"Ji, Y., Mishalani, R.G.,\u00a0 McCord, M.R.: Transit passenger origin-destination flow estimation: Efficiently combining onboard survey and large automatic passenger count datasets. Transp. Res. Part C Emerg. Technol. 58 (2015).\u00a0https:\/\/doi.org\/10.1016\/j.trc.2015.04.021","DOI":"10.1016\/j.trc.2015.04.021"},{"key":"48_CR7","doi-asserted-by":"publisher","unstructured":"P\u00e9rez-delHoyo, R., And\u00fajar-Montoya, M.D., Mora, H., Gilart-Iglesias, V.:\u00a0 Unexpected consequences in the operation of urban environments. Kybernetes 48(2) (2019), https:\/\/doi.org\/10.1108\/K-02-2018-0096","DOI":"10.1108\/K-02-2018-0096"},{"key":"48_CR8","doi-asserted-by":"publisher","first-page":"58449","DOI":"10.1109\/ACCESS.2019.2914613","volume":"7","author":"H Mora","year":"2019","unstructured":"Mora, H., Peral, J., Ferrandez, A., Gil, D., Szymanski, J.: Distributed architectures for intensive urban computing: a case study on smart lighting for sustainable cities. IEEE Access 7, 58449\u201358465 (2019). https:\/\/doi.org\/10.1109\/ACCESS.2019.2914613","journal-title":"IEEE Access"},{"key":"48_CR9","doi-asserted-by":"publisher","unstructured":"P\u00e9rez-delHoyo,\u00a0R., Mora, H.: Toward a new sustainable development model for smart villages. Smart Villages in the Eu and Beyond, 49\u201362 (2019).\u00a0https:\/\/doi.org\/10.1108\/978-1-78769-845-120191005\/FULL\/XML","DOI":"10.1108\/978-1-78769-845-120191005\/FULL\/XML"},{"key":"48_CR10","doi-asserted-by":"publisher","unstructured":"P\u00e9rez del Hoyo, R.,\u00a0 Visvizi, A., Mora, H.:\u00a0 Inclusiveness, safety, resilience, and sustainability in the smart city context. Smart Cities\u00a0 UN SDGs,\u00a0 15\u201328 (2021).\u00a0https:\/\/doi.org\/10.1016\/B978-0-323-85151-0.00002-6","DOI":"10.1016\/B978-0-323-85151-0.00002-6"},{"key":"48_CR11","doi-asserted-by":"publisher","unstructured":"Reddy, S., Mun,  M., Burke, J.,\u00a0 Estrin, D., Hansen, M., Srivastava, M.: Using mobile phones to determine transportation modes. ACM Trans. Sens. Netw.\u00a0 6(2) (2010).\u00a0https:\/\/doi.org\/10.1145\/1689239.1689243","DOI":"10.1145\/1689239.1689243"},{"key":"48_CR12","doi-asserted-by":"publisher","unstructured":"Liciotti, D., Cenci, A., Frontoni, E., Mancini, A., Zingaretti, P.: An intelligent RGB-D video system for bus passenger counting. Adv. Intell. Syst. Comput. (2017). https:\/\/doi.org\/10.1007\/978-3-319-48036-7_34","DOI":"10.1007\/978-3-319-48036-7_34"},{"key":"48_CR13","doi-asserted-by":"publisher","unstructured":"Vieira,\u00a0D.F., Junior, H.G.:\u00a0 Public Transportation passengers accounting at university by IoT device. In: 2022\u00a0 Symposium on Internet of Things, SIoT 2022 (2022). https:\/\/doi.org\/10.1109\/SIoT56383.2022.10070138","DOI":"10.1109\/SIoT56383.2022.10070138"},{"key":"48_CR14","doi-asserted-by":"publisher","unstructured":"Reichl, P., Oh, B.,\u00a0 Ravitharan, R., Stafford, M.: Using Wifi technologies to count passengers in real-time around rail infrastructure. In: 2018 International Conference on Intelligent Rail Transportation, ICIRT 2018 (2018). https:\/\/doi.org\/10.1109\/ICIRT.2018.8641595","DOI":"10.1109\/ICIRT.2018.8641595"},{"key":"48_CR15","doi-asserted-by":"publisher","unstructured":"Stec,\u00a0M., Herrmann, V., Stabernack, B.: Multi-sensor-fusion system for people counting applications. In:\u00a0 2019 1st International Conference on Societal Automation, SA 2019, (2019). https:\/\/doi.org\/10.1109\/SA47457.2019.8938046","DOI":"10.1109\/SA47457.2019.8938046"},{"key":"48_CR16","doi-asserted-by":"publisher","unstructured":"He, T., Tan, J., Chan, S.H.G.: Self-Supervised association of Wi-Fi probe requests under mac address randomization. IEEE Trans. Mob. Comput. 22(12), 7044\u20137056 (2023). https:\/\/doi.org\/10.1109\/TMC.2022.3205924","DOI":"10.1109\/TMC.2022.3205924"}],"container-title":["Lecture Notes in Networks and Systems","Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-77571-0_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T02:09:58Z","timestamp":1734660598000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-77571-0_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031775703","9783031775710"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-77571-0_48","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"21 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"UCAmI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Ubiquitous Computing and Ambient Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Belfast","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ucami2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ucami.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}