{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T01:13:56Z","timestamp":1782868436371,"version":"3.54.5"},"reference-count":147,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["552077"],"award-info":[{"award-number":["552077"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/tits.2017.2771746","type":"journal-article","created":{"date-parts":[[2017,12,13]],"date-time":"2017-12-13T19:19:44Z","timestamp":1513192784000},"page":"3092-3112","source":"Crossref","is-referenced-by-count":87,"title":["Advances in Crowd Analysis for Urban Applications Through Urban Event Detection"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4604-5461","authenticated-orcid":false,"given":"Mohammed Shamim","family":"Kaiser","sequence":"first","affiliation":[{"name":"Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8991-3890","authenticated-orcid":false,"given":"Khin T.","family":"Lwin","sequence":"additional","affiliation":[{"name":"Anglia Ruskin IT Research Institute, Anglia Ruskin University, Chelmsford, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2037-8348","authenticated-orcid":false,"given":"Mufti","family":"Mahmud","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, NeuroChip Laboratory, University of Padova, Padua, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5315-3065","authenticated-orcid":false,"given":"Donya","family":"Hajializadeh","sequence":"additional","affiliation":[{"name":"Department of Engineering and the Built Environment, Anglia Ruskin University, Chelmsford, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8285-4701","authenticated-orcid":false,"given":"Tawee","family":"Chaipimonplin","sequence":"additional","affiliation":[{"name":"Department of Geography, Chiang Mai University, Chiang Mai, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmed","family":"Sarhan","sequence":"additional","affiliation":[{"name":"Faculty of Science and Technology, Anglia Ruskin University, Chelmsford, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammed Alamgir","family":"Hossain","sequence":"additional","affiliation":[{"name":"Anglia Ruskin IT Research Institute, Anglia Ruskin University, Chelmsford, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"crossref","DOI":"10.46298\/jdmdh.5","article-title":"A survey of data mining techniques for social media analysis","volume":"2014","author":"adedoyin-olowe","year":"2014","journal-title":"Journal of Data Mining and Digital Humanities"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s00146-014-0549-4"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.4108\/icst.mobiquitous.2014.257870"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2413215"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/nature06958"},{"key":"ref30","first-page":"13-1","article-title":"Estimation of traffic flow using passive cell-phone data","author":"frias-martinez","year":"2014","journal-title":"Proceedings of the International Workshop on Data Science for Macro-Modeling"},{"key":"ref37","first-page":"9","article-title":"Evaluation datasets for twitter sentiment analysis: A survey and a new dataset, the STS-gold","author":"saif","year":"2013","journal-title":"Proc ESS"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2015.01.007"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-008-0132-4"},{"key":"ref34","first-page":"66","article-title":"Crowd analysis using computer vision techniques","volume":"27","author":"jacques","year":"2010","journal-title":"IEEE Signal Process Mag"},{"key":"ref28","first-page":"2-1","article-title":"A review of urban computing for mobile phone traces: Current methods, challenges and opportunities","author":"jiang","year":"2013","journal-title":"Proc UrbComp"},{"key":"ref27","year":"2008","journal-title":"Number of mobile phone users worldwide from 2013 to 2019 (in billions)"},{"key":"ref29","first-page":"361","article-title":"Cellular data meet vehicular traffic theory: Location area updates and cell transitions for travel time estimation","author":"janecek","year":"2012","journal-title":"Proc ACM Conf Ubiquitous Comput"},{"key":"ref20","first-page":"106","article-title":"Detecting events and sentiment on Twitter for improving urban mobility","author":"candelieri","year":"2015","journal-title":"Proc ESS"},{"key":"ref22","first-page":"644","article-title":"Extracting topical information of tweets using hashtags","author":"alp","year":"2015","journal-title":"Proc ICMLA"},{"key":"ref21","first-page":"1","article-title":"Quantifying crowd size with mobile phone and Twitter data","volume":"2","author":"botta","year":"2015","journal-title":"Roy Soc Open Sci"},{"key":"ref24","first-page":"1","article-title":"Individual-level trip detection using sparse call detail record data based on supervised statistical learning","author":"zhao","year":"2016","journal-title":"Proc Annu Meeting Transp Res Board"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2655691"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1145\/1456403.1456409"},{"key":"ref26","year":"2012","journal-title":"WorldOMeters"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbspro.2014.01.143"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2644725"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2368119"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2013.06.005"},{"key":"ref146","article-title":"Predicting citywide crowd flows using deep spatio-temporal residual networks","volume":"abs 1701 2543","author":"zhang","year":"2017","journal-title":"CoRR"},{"key":"ref147","article-title":"Using a deep reinforcement learning agent for traffic signal control","volume":"abs 1611 1142","author":"genders","year":"2016","journal-title":"CoRR"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.12.070"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.11.021"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.10.003"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.1040.0102"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/S0191-2615(03)00007-9"},{"key":"ref54","first-page":"3","article-title":"A speed-concentration relation for bi-directional crowd movements with strong interaction","author":"algadhi","year":"2002","journal-title":"Pedestrian and Evacuation Dynamics"},{"key":"ref53","first-page":"1200","article-title":"A trajectory clustering approach to crowd flow segmentation in videos","author":"sharma","year":"2016","journal-title":"Proc ICIP"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2013.0246"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2013.6588663"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"126","DOI":"10.3141\/2526-14","article-title":"Analyzing cell phone location data for urban travel current methods, limitations, and opportunities","volume":"2526","author":"\u00e7olak","year":"2014","journal-title":"J Transp Res Board"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2008.2006638"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/PerCom.2013.6526732"},{"key":"ref5","first-page":"474","article-title":"Inferring unusual crowd events from mobile phone call detail records","author":"dong","year":"2015","journal-title":"Proc PKDD"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-013-0652-4"},{"key":"ref49","first-page":"157","article-title":"Tracking human mobility at mass gathering events using WISP","author":"mowafi","year":"2013","journal-title":"Proc FGCT"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-005-0046-3"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.apgeog.2011.05.011"},{"key":"ref46","first-page":"21","article-title":"Quantifying the invisible audience in social networks","author":"bernstein","year":"2013","journal-title":"Proc CHI"},{"key":"ref45","first-page":"1","article-title":"Estimating crowd sizes through social media","author":"sinnott","year":"2016","journal-title":"Proceedings of IEEE PERCOM Workshops"},{"key":"ref48","first-page":"625","article-title":"Social event detection in massive mobile phone data using probabilistic location inference","author":"traag","year":"2011","journal-title":"Proc SocialCom\/PASSAT"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2656387"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbspro.2012.06.1055"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbspro.2014.01.128"},{"key":"ref44","first-page":"99","article-title":"How big is the crowd?: Event and location based population modeling in social media","author":"liang","year":"2013","journal-title":"Proceedings of HT"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2013.0214"},{"key":"ref127","year":"2014","journal-title":"Open big data"},{"key":"ref126","year":"2015","journal-title":"Transport for london unified API"},{"key":"ref125","year":"2006","journal-title":"Google Trends"},{"key":"ref124","year":"2007","journal-title":"Travel Tracker Survey&#x2014;CMAP"},{"key":"ref73","article-title":"Automatic data for applied railway management: Passenger demand, service quality measurement, and tactical planning on the London overground network","author":"frumin","year":"2010"},{"key":"ref72","first-page":"1795","article-title":"Wireless detection of end-to-end passenger trips on public transport buses","author":"kostakos","year":"2010","journal-title":"Proc ITSC"},{"key":"ref129","year":"2004","journal-title":"Flickr API"},{"key":"ref71","first-page":"1","article-title":"Understanding human mobility due to large-scale events","author":"xavier","year":"2013","journal-title":"Proc Netmob"},{"key":"ref128","year":"2014","journal-title":"REST APIs"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2013.6691626"},{"key":"ref76","article-title":"Crowdsourcing based description of urban emergency events using social media big data","author":"xu","year":"0","journal-title":"IEEE Trans Cloud Comput"},{"key":"ref130","year":"2016","journal-title":"Transport API"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-016-0411-x"},{"key":"ref74","first-page":"146","article-title":"Understanding city dynamics based on public bicycle data: A case study in Hangzhou","author":"shi","year":"2016","journal-title":"Proc of SKIMA"},{"key":"ref75","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.ins.2016.01.014","article-title":"User-driven geo-temporal density-based exploration of periodic and not periodic events reported in social networks","volume":"340","author":"arcaini","year":"2016","journal-title":"Inf Sci"},{"key":"ref133","year":"2016","journal-title":"Crowd Rest APIs"},{"key":"ref134","year":"2005","journal-title":"Processing and Analyzing Streams of CDRs in Real Time"},{"key":"ref131","year":"2010","journal-title":"Bing Maps"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-015-0258-0"},{"key":"ref132","year":"2009","journal-title":"Google Map API for Every Platform"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-8483-7_14"},{"key":"ref136","author":"agneeswaran","year":"2014","journal-title":"Big Data Analytics Beyond Hadoop Real-Time Applications with Storm Spark and More Hadoop Alternatives"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.3390\/computers3040117"},{"key":"ref138","doi-asserted-by":"crossref","first-page":"1376","DOI":"10.1038\/srep01376","article-title":"Unique in the crowd: The privacy bounds of human mobility","volume":"3","author":"de montjoye","year":"2013","journal-title":"Sci Rep"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1007\/s11265-008-0336-x"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7091-6874-5_3"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-008-0212-5"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-015-2904-2"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.4135\/9781483326061"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.04.022"},{"key":"ref64","first-page":"19","article-title":"A tale of two cities","author":"isaacman","year":"2010","journal-title":"Proc Workshop Mobile Comput Syst Appl"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2007.1062"},{"key":"ref65","first-page":"1","article-title":"Exploration and analysis of massive mobile phone data: A layered visual analytics approach","author":"van den elzen","year":"2013","journal-title":"Proc Netmob"},{"key":"ref141","first-page":"170","article-title":"Practical differentially private modeling of human movement data","author":"roy","year":"2016","journal-title":"Proc DBSec"},{"key":"ref66","doi-asserted-by":"crossref","first-page":"5276","DOI":"10.1038\/srep05276","article-title":"From mobile phone data to the spatial structure of cities","volume":"4","author":"louail","year":"2014","journal-title":"Sci Rep"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2012.01.001"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21726-5_9"},{"key":"ref143","first-page":"865","article-title":"Traffic flow prediction with big data: A deep learning approach","volume":"16","author":"lv","year":"2015","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2015.2440259"},{"key":"ref144","first-page":"1299","article-title":"Deep people counting in extremely dense crowds","author":"wang","year":"2015","journal-title":"Proc MM"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11116-015-9601-6"},{"key":"ref69","first-page":"175","article-title":"Quantifying urban attractiveness from the distribution and density of digital footprints","volume":"4","author":"girardin","year":"2009","journal-title":"Int J Spatial Data Infrastuct Res"},{"key":"ref145","first-page":"2618","article-title":"Deeptransport: Prediction and simulation of human mobility and transportation mode at a citywide level","author":"song","year":"2016","journal-title":"Proc IJCAI"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2010.12.003"},{"key":"ref109","first-page":"1","article-title":"Performance analysis of cognitive cooperative communications for WBAN","author":"mahbub","year":"2015","journal-title":"Proceedings of ICT"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2639320"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/704504"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2013.2259692"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1145\/1267070.1267073"},{"key":"ref93","first-page":"721","article-title":"A Pedestrian flow analysis system using Wi-Fi packet sensors to a real environment","author":"fukuzaki","year":"2014","journal-title":"Proc UbiComp"},{"key":"ref106","first-page":"594","article-title":"Unsupervised Bayesian detection of independent motion in crowds","author":"brostow","year":"2006","journal-title":"Proc CVPR"},{"key":"ref92","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1145\/2461381.2461394","article-title":"SCPL: Indoor device-free multi-subject counting and localization using radio signal strength","author":"xu","year":"2013","journal-title":"Proc IPSN"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0120-6"},{"key":"ref91","first-page":"219","article-title":"Visualisation of spectator activity at stadium events","author":"morrison","year":"2009","journal-title":"Proc 13th Int Conf Inf Vis"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.70770"},{"key":"ref90","first-page":"352","article-title":"Wisdom of the local crowd: Detecting local events using social media data","author":"ranneries","year":"2016","journal-title":"Proceedings of WebScience"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1016\/j.firesaf.2007.12.005"},{"key":"ref102","article-title":"Crowd dynamics","author":"still","year":"2000"},{"key":"ref111","author":"mcdiarmid","year":"2011","journal-title":"Nodobo Data"},{"key":"ref112","author":"idrees","year":"2016","journal-title":"Multi-Source Multi-Scale Counting in Extremely Dense Crowd Images"},{"key":"ref110","article-title":"Data for development: The D4D challenge on mobile phone data","volume":"abs 1210 137","author":"blondel","year":"2012","journal-title":"CoRR"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1117\/12.832599"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.5565\/rev\/elcvia.582"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1057\/palgrave.jors.2602298"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1002\/qre.2073"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2642304"},{"key":"ref11","first-page":"1363","article-title":"Monitoring crowd condition in public spaces by tracking mobile consumer devices with WiFi interface","author":"weppner","year":"2016","journal-title":"Proc ACM Int Jt Conf Pervasive Ubiquitous Comput"},{"key":"ref12","first-page":"517","article-title":"Tracking the evolution of social emotions: A time-aware topic modeling perspective","author":"zhu","year":"2015","journal-title":"Proc IEEE Int Conf Data Mining"},{"key":"ref13","first-page":"361","article-title":"Electronic frog eye: Counting crowd using WiFi","author":"xi","year":"2014","journal-title":"Proc IEEE InfoCom"},{"key":"ref14","first-page":"1","article-title":"Analyzing pedestrian movement in Mataf using GPS and GIS to support space redesign","author":"koshak","year":"2008","journal-title":"Proc 9th Int Conf Des Decision Support Syst Archit Urban Planning"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2010.2074196"},{"key":"ref118","year":"2013","journal-title":"Irish Transport Data"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3141\/2264-02"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1049\/ecej:19950106"},{"key":"ref117","year":"2016","journal-title":"U S Gov Open Traffic Data"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126374"},{"key":"ref81","first-page":"640","article-title":"CrowdNet: A deep convolutional network for dense crowd counting","author":"boominathan","year":"2016","journal-title":"Proc ACM Multimedia Conf"},{"key":"ref18","first-page":"372","article-title":"Crowd density estimation based on local binary pattern co-occurrence matrix","author":"wang","year":"2012","journal-title":"Proc IEEE Int Conf Multimedia Expo Workshops"},{"key":"ref84","first-page":"170","article-title":"On pixel count based crowd density estimation for visual surveillance","author":"ma","year":"2004","journal-title":"Proc ICCIS"},{"key":"ref119","year":"2014","journal-title":"Transport for London (TfL)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2014.2358029"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018781301409"},{"key":"ref114","year":"2005","journal-title":"Traffic Analysis Tools Program"},{"key":"ref113","author":"ryan","year":"2012","journal-title":"Crowd Counting Database"},{"key":"ref116","author":"jiang","year":"2014","journal-title":"Eyecrowd Dataset"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2560807"},{"key":"ref115","author":"shao","year":"2014","journal-title":"CUHK Crowd Dataset"},{"key":"ref120","author":"mueller","year":"2016","journal-title":"UAV 123"},{"key":"ref89","first-page":"17","article-title":"Towards an online detection of pedestrian flocks in urban canyons by smoothed spatio-temporal clustering of GPS trajectories","author":"wirz","year":"2011","journal-title":"Proc of LBSN"},{"key":"ref121","year":"2015","journal-title":"A Multi-Source Dataset of Urban Life in the City of Milan and the Province of Trentino"},{"key":"ref122","author":"botta","year":"2015","journal-title":"Datasets for Quantifying Crowd Size for Mobile Phone and Twitter Data"},{"key":"ref123","year":"2015","journal-title":"Cambridge MA Open Data"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2011.01.005"},{"key":"ref86","first-page":"31","article-title":"Video analysis using corner motion statistics","author":"albiol","year":"2009","journal-title":"Proc CVPR"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.5194\/isprsarchives-XXXVIII-3-W22-221-2011"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.3390\/rs8060470"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/8478838\/08194870.pdf?arnumber=8194870","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T20:46:23Z","timestamp":1743799583000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8194870\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":147,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tits.2017.2771746","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10]]}}}