{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T17:43:24Z","timestamp":1742924604525,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030623647"},{"type":"electronic","value":"9783030623654"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/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":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-62365-4_57","type":"book-chapter","created":{"date-parts":[[2020,10,29]],"date-time":"2020-10-29T06:02:51Z","timestamp":1603951371000},"page":"584-593","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Road Patterns Identification and Risk Analysis Based on Machine Learning Framework: Powered Two-Wheelers Case"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8006-5522","authenticated-orcid":false,"given":"Milad","family":"Leyli-abadi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3967-1242","authenticated-orcid":false,"given":"Abderrahmane","family":"Boubezoul","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3449-8279","authenticated-orcid":false,"given":"St\u00e9phane","family":"Espi\u00e9","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,27]]},"reference":[{"issue":"12","key":"57_CR1","doi-asserted-by":"publisher","first-page":"4011","DOI":"10.1109\/TITS.2018.2797065","volume":"19","author":"F Attal","year":"2018","unstructured":"Attal, F., Boubezoul, A., Sam\u00e9, A., Oukhellou, L., Espi\u00e9, S.: Powered two-wheelers critical events detection and recognition using data-driven approaches. IEEE Trans. Intell. Transp. Syst. 19(12), 4011\u20134022 (2018)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"510","key":"57_CR2","first-page":"126","volume":"4","author":"JA Bilmes","year":"1998","unstructured":"Bilmes, J.A., et al.: A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models. Int. Comput. Sci. Inst. 4(510), 126 (1998)","journal-title":"Int. Comput. Sci. Inst."},{"issue":"3","key":"57_CR3","doi-asserted-by":"publisher","first-page":"966","DOI":"10.1287\/trsc.2015.0653","volume":"50","author":"HB Celikoglu","year":"2016","unstructured":"Celikoglu, H.B., Silgu, M.A.: Extension of traffic flow pattern dynamic classification by a macroscopic model using multivariate clustering. Transp. Sci. 50(3), 966\u2013981 (2016)","journal-title":"Transp. Sci."},{"key":"57_CR4","unstructured":"Espi\u00e9, S.: Archisim, multi-actor parallel architecture for traffic simulation. In: Proceedings of the Second World Congress on Intelligent Transport Systems, vol. 4 (1995)"},{"key":"57_CR5","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1016\/j.aap.2013.03.012","volume":"58","author":"S Espi\u00e9","year":"2013","unstructured":"Espi\u00e9, S., Boubezoul, A., Aupetit, S., Bouaziz, S.: Data collection and processing tools for naturalistic study of powered two-wheelers users\u2019 behaviours. Accident Anal. Prevent. 58, 330\u2013339 (2013)","journal-title":"Accident Anal. Prevent."},{"issue":"1","key":"57_CR6","first-page":"1","volume":"7","author":"C Feliciani","year":"2020","unstructured":"Feliciani, C., Gorrini, A., Crociani, L., Vizzari, G., Nishinari, K., Bandini, S.: Calibration and validation of a simulation model for predicting pedestrian fatalities at unsignalized crosswalks by means of statistical traffic data. J. Traff. Transp. Eng. (English Edn.) 7(1), 1\u201318 (2020)","journal-title":"J. Traff. Transp. Eng. (English Edn.)"},{"key":"57_CR7","unstructured":"Krakiwsky, E.J., Harris, C.B., Wong, R.V.: A Kalman filter for integrating dead reckoning, map matching and gps positioning. In: IEEE PLANS 1988, Position Location and Navigation Symposium, Record. \u2018Navigation into the 21st Century\u2019, pp. 39\u201346. IEEE (1988)"},{"issue":"5","key":"57_CR8","doi-asserted-by":"publisher","first-page":"821","DOI":"10.1007\/s10458-014-9269-x","volume":"29","author":"F Ksontini","year":"2014","unstructured":"Ksontini, F., Mandiau, R., Guessoum, Z., Espi\u00e9, S.: Affordance-based agent model for road traffic simulation. Auton. Agent. Multi-Agent Syst. 29(5), 821\u2013849 (2014). https:\/\/doi.org\/10.1007\/s10458-014-9269-x","journal-title":"Auton. Agent. Multi-Agent Syst."},{"issue":"2","key":"57_CR9","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.automatica.2006.08.023","volume":"43","author":"L Mihaylova","year":"2007","unstructured":"Mihaylova, L., Boel, R., Hegyi, A.: Freeway traffic estimation within particle filtering framework. Automatica 43(2), 290\u2013300 (2007)","journal-title":"Automatica"},{"issue":"2","key":"57_CR10","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1109\/5.18626","volume":"77","author":"LR Rabiner","year":"1989","unstructured":"Rabiner, L.R.: A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 77(2), 257\u2013286 (1989)","journal-title":"Proc. IEEE"},{"key":"57_CR11","unstructured":"Saad, F., Espi\u00e9, S., Djemame, N., Schnetzler, B., Bourlier, F.: Microscopic traffic simulation and driver behaviour modelling: the archisim project. Road Safety In Europe and Strategic Highway Research Program (SHRP), Lille, France, 26\u201328 September 1994 (VTI Konferenz), vol. 2A: 3 (1995)"},{"issue":"1","key":"57_CR12","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1559\/152304099782424901","volume":"26","author":"A Saalfeld","year":"1999","unstructured":"Saalfeld, A.: Topologically consistent line simplification with the Douglas-Peucker algorithm. Cartogr. Geogr. Inf. Sci. 26(1), 7\u201318 (1999)","journal-title":"Cartogr. Geogr. Inf. Sci."},{"issue":"2","key":"57_CR13","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1287\/trsc.1070.0194","volume":"41","author":"Y Wang","year":"2007","unstructured":"Wang, Y., Papageorgiou, M., Messmer, A.: Real-time freeway traffic state estimation based on extended Kalman filter: a case study. Transp. Sci. 41(2), 167\u2013181 (2007)","journal-title":"Transp. Sci."}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-62365-4_57","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:09:31Z","timestamp":1710266971000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-62365-4_57"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030623647","9783030623654"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-62365-4_57","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":"27 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDEAL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Data Engineering and Automated Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guimaraes","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ideal2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/islab.di.uminho.pt\/ideal2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Open","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":"134","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":"93","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":"0","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":"69% - 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":"2.8","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}