{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T06:07:51Z","timestamp":1760854071973,"version":"3.28.0"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1109\/codit.2019.8820434","type":"proceedings-article","created":{"date-parts":[[2019,9,3]],"date-time":"2019-09-03T01:09:32Z","timestamp":1567472972000},"page":"512-517","source":"Crossref","is-referenced-by-count":2,"title":["Traffic Flow Multi-model with Machine Learning Method based on Floating Car Data"],"prefix":"10.1109","author":[{"given":"Jinjian","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacques","family":"Boonaert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arnaud","family":"Doniec","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guillaume","family":"Lozenguez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/SERA.2016.7516129"},{"key":"ref31","article-title":"K-means clustering","author":"burkardt","year":"2009","journal-title":"Virginia Tech Advanced Research Computing Interdisciplinary Center for Applied Mathematics"},{"key":"ref30","first-page":"100","article-title":"Algorithm as 136: A k-means clustering algorithm","volume":"28","author":"hartigan","year":"1979","journal-title":"Journal of the Royal Statistical Society Series C (Applied Statistics)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2008.4732534"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2005.1520133"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.05.521"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1177\/0361198105191700119"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/S0968-090X(98)00019-9"},{"key":"ref15","article-title":"Toward reliable estimations of urban traffic flows from machine learning and floating car data","author":"li","year":"0","journal-title":"15th World Conference on Transport Research"},{"year":"0","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1080\/18128600608685656"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/0191-2615(92)90039-Y"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-28650-9_4"},{"key":"ref28","article-title":"Principal component analysis","author":"richardson","year":"2009","journal-title":"Special Topic Essay"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1049\/cp:20000103","article-title":"the various uses of floating car data","author":"turksma","year":"2000","journal-title":"Tenth International Conference on Road Transport Information and Control"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-62703-059-5_22"},{"journal-title":"En-route updating methodology of travel time predictionusing accumulated probe-car data","year":"2018","author":"miwa","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3141\/1855-06"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/I4CT.2014.6914169"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1247660.1247686"},{"key":"ref8","first-page":"475","article-title":"A simulation evaluation of a real-time traffic information system using probe vehicles","volume":"1","author":"dai","year":"0","journal-title":"Intelligent Transportation Systems 2003 Proceedings 2003 IEEE"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.trpro.2015.03.003"},{"key":"ref2","first-page":"1","article-title":"Floating car data from smartphones: What google and waze know about you and how hackers can control traffic","author":"jeske","year":"0","journal-title":"Proc of the BlackHat Europe"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2007.4290287"},{"key":"ref1","article-title":"Validation of google floating car data for applications in traffic management","author":"van den haak","year":"0","journal-title":"Transportation Research Board 97th Annual Meeting"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3141\/2165-08"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2015.10.041"},{"key":"ref21","article-title":"Fast forward selection to speed up sparse gaussian process regression","author":"seeger","year":"0","journal-title":"Artificial Intelligence and Statistics 9 no EPFL-CONF-161318"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICARCV.2014.7064462"},{"key":"ref23","first-page":"1185","article-title":"Travel-time prediction using gaussian process regression: A trajectory-based approach","author":"id\u00e9","year":"0","journal-title":"Proceedings of the 2009 SIAM International Conference on Data Mining"},{"key":"ref26","first-page":"4","volume":"2","author":"williams","year":"2006","journal-title":"Gaussian Processes for Machine Learning"},{"journal-title":"Gaussian processes - a replacement for supervised neural networks","year":"1997","author":"mackay","key":"ref25"}],"event":{"name":"2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)","start":{"date-parts":[[2019,4,23]]},"location":"Paris, France","end":{"date-parts":[[2019,4,26]]}},"container-title":["2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8806019\/8820291\/08820434.pdf?arnumber=8820434","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T20:24:48Z","timestamp":1658262288000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8820434\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/codit.2019.8820434","relation":{},"subject":[],"published":{"date-parts":[[2019,4]]}}}