{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T03:24:09Z","timestamp":1777433049509,"version":"3.51.4"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T00:00:00Z","timestamp":1664150400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T00:00:00Z","timestamp":1664150400000},"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":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1007\/s00521-022-07837-7","type":"journal-article","created":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T19:02:59Z","timestamp":1664218979000},"page":"1395-1408","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Multi-modal traffic event detection using shapelets"],"prefix":"10.1007","volume":"35","author":[{"given":"Ahmed","family":"AlDhanhani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ernesto","family":"Damiani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6915-3759","authenticated-orcid":false,"given":"Rabeb","family":"Mizouni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Di","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmad","family":"Al-Rubaie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,26]]},"reference":[{"issue":"2","key":"7837_CR1","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1109\/TITS.2007.894193","volume":"8","author":"BM Williams","year":"2007","unstructured":"Williams BM, Guin A (2007) Traffic management center use of incident detection algorithms: Findings of a nationwide survey. IEEE Trans Intell Trans Syst 8(2):351\u2013358","journal-title":"IEEE Trans Intell Trans Syst"},{"key":"7837_CR2","doi-asserted-by":"crossref","unstructured":"\u00a0Sakaki T, Okazaki M,\u00a0Matsuo Y (2010) Earthquake shakes Twitter users: real-time event detection by social sensors. In: Proceedings of the 19th international conference on World wide web, ACM, 851\u2013860","DOI":"10.1145\/1772690.1772777"},{"key":"7837_CR3","doi-asserted-by":"crossref","unstructured":"Sakaki T,\u00a0Matsuo Y,\u00a0Yanagihara T, Chandrasiri NP,\u00a0Nawa K (2012) Real-time event extraction for driving information from social sensors. In: IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2012, IEEE, 221\u2013226","DOI":"10.1109\/CYBER.2012.6392557"},{"issue":"1","key":"7837_CR4","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1111\/coin.12017","volume":"31","author":"F Atefeh","year":"2015","unstructured":"Atefeh F, Khreich W (2015) A survey of techniques for event detection in twitter. Computat Intell 31(1):132\u2013164","journal-title":"Computat Intell"},{"key":"7837_CR5","doi-asserted-by":"crossref","unstructured":"Wang D, Al-Rubaie A, Davies J, Clarke SS (2014) Real time road traffic monitoring alert based on incremental learning from tweets. In: (2014) IEEE Symposium on Evolving and Autonomous Learning Systems (EALS). IEEE 50\u201357","DOI":"10.1109\/EALS.2014.7009503"},{"issue":"4","key":"7837_CR6","first-page":"43","volume":"6","author":"P Anantharam","year":"2015","unstructured":"Anantharam P, Barnaghi P, Thirunarayan K, Sheth A (2015) Extracting city traffic events from social streams. ACM Trans Intell Syst Technol (TIST) 6(4):43\u201348","journal-title":"ACM Trans Intell Syst Technol (TIST)"},{"key":"7837_CR7","doi-asserted-by":"crossref","unstructured":"Guti\u00e9rrez C, Figuerias P,\u00a0Oliveira P,\u00a0Costa R,\u00a0Jardim-Goncalves R (2015) Twitter mining for traffic events detection. In: Science and Information Conference (SAI), 2015, IEEE, 371\u2013378","DOI":"10.1109\/SAI.2015.7237170"},{"key":"7837_CR8","doi-asserted-by":"crossref","unstructured":"Schulz A,\u00a0Ristoski P,\u00a0Paulheim H (2013) I see a car crash: Real-time detection of small scale incidents in microblogs. In: Extended Semantic Web Conference, Springer, 22\u201333","DOI":"10.1007\/978-3-642-41242-4_3"},{"key":"7837_CR9","doi-asserted-by":"crossref","unstructured":"Cui J,\u00a0Fu R,\u00a0Dong C, Zhang Z (2014) Extraction of traffic information from social media interactions: Methods and experiments, in: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), IEEE, 1549\u20131554","DOI":"10.1109\/ITSC.2014.6957913"},{"key":"7837_CR10","doi-asserted-by":"crossref","unstructured":"LiuM,\u00a0Fu K, Lu CT,\u00a0Chen G,\u00a0Wang H (2014) A search and summary application for traffic events detection based on twitter data. In: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, 549\u2013552","DOI":"10.1145\/2666310.2666366"},{"key":"7837_CR11","first-page":"12","volume":"9","author":"E Mai","year":"2013","unstructured":"Mai E, Hranac R (2013) Twitter interactions as a data source for transportation incidents. Tech Rep 9:12\u201335","journal-title":"Tech Rep"},{"key":"7837_CR12","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/j.trc.2016.02.011","volume":"67","author":"Y Gu","year":"2016","unstructured":"Gu Y, Qian ZS, Chen F (2016) From Twitter to detector: Real-time traffic incident detection using social media data. Trans Res Part C: Emerg Technol 67:321\u2013342","journal-title":"Trans Res Part C: Emerg Technol"},{"issue":"4","key":"7837_CR13","doi-asserted-by":"publisher","first-page":"2269","DOI":"10.1109\/TITS.2015.2404431","volume":"16","author":"E D\u2019Andrea","year":"2015","unstructured":"D\u2019Andrea E, Ducange P, Lazzerini B, Marcelloni F (2015) Real-time detection of traffic from twitter stream analysis. IEEE Trans Intell Trans Syst 16(4):2269\u20132283","journal-title":"IEEE Trans Intell Trans Syst"},{"issue":"01","key":"7837_CR14","first-page":"1","volume":"20","author":"O Deniz","year":"2011","unstructured":"Deniz O, Celikoglu HB (2011) Overview to some existing incident detection algorithms: a comparative evaluation. Proced Soc Behav Sci 20(01):1\u201313","journal-title":"Proced Soc Behav Sci"},{"issue":"1","key":"7837_CR15","first-page":"23","volume":"6","author":"E Parkany","year":"2005","unstructured":"Parkany E, Xie C (2005) A complete review of incident detection algorithms & their deployment: what works and what doesn\u2019t. Tech Rep 6(1):23\u201389","journal-title":"Tech Rep"},{"key":"7837_CR16","doi-asserted-by":"crossref","unstructured":"Adetiloye TO (2018) Predicting Short-Term Traffic Congestion on Urban Motorway Networks, Ph.D. thesis, Concordia University,","DOI":"10.1016\/B978-0-12-811318-9.00008-9"},{"issue":"1","key":"7837_CR17","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1061\/JHTRCQ.0000091","volume":"6","author":"N Zhang","year":"2012","unstructured":"Zhang N, Shi Y, Huang W (2012) Traffic Event Automatic Detection Based on OGS-DTW Algorithm. J Highway Trans Res Develop (Engl Ed) 6(1):54\u201360","journal-title":"J Highway Trans Res Develop (Engl Ed)"},{"key":"7837_CR18","unstructured":"Motamed M et\u00a0al. (2016) Developing a real-time freeway incident detection model using machine learning techniques, Ph.D. thesis"},{"key":"7837_CR19","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.engappai.2019.04.002","volume":"82","author":"A AlDhanhani","year":"2019","unstructured":"AlDhanhani A, Damiani E, Mizouni R, Wang D (2019) Framework for traffic event detection using Shapelet Transform. Eng Appl Artif Intell 82:226\u2013235","journal-title":"Eng Appl Artif Intell"},{"issue":"1","key":"7837_CR20","first-page":"33","volume":"8","author":"PH Foo","year":"2013","unstructured":"Foo PH, Ng GW (2013) High-level Information Fusion: An Overview. J Adv Inf Fusion 8(1):33\u201372","journal-title":"J Adv Inf Fusion"},{"key":"7837_CR21","doi-asserted-by":"crossref","unstructured":"Wang Y, Kankanhalli MS (2015) Tweeting cameras for event detection. In: Proceedings of the 24th International Conference on World Wide Web, ACM, 1231\u20131241","DOI":"10.1145\/2736277.2741634"},{"key":"7837_CR22","doi-asserted-by":"crossref","unstructured":"Musaev A,\u00a0Wang D, Cho CA,\u00a0Pu C (2014) Landslide detection service based on composition of physical and social information services. In: Web Services (ICWS), 2014 IEEE International Conference on, IEEE, 97\u2013104","DOI":"10.1109\/ICWS.2014.26"},{"key":"7837_CR23","unstructured":"Soni U (2019) Integration of traffic data from social media and physical sensors for near real time road traffic analysis, Master\u2019s thesis, University of Twente"},{"key":"7837_CR24","unstructured":"Moumtzidou A, Giannakeris P,\u00a0Andreadis S,\u00a0Mavropoulos A,\u00a0Meditskos G,\u00a0Gialampoukidis I,\u00a0Avgerinakis K,\u00a0Vrochidis S,\u00a0Kompatsiaris I (2018) A Multimodal Approach in Estimating Road Passability Through a Flooded Area Using Social Media and Satellite Images. In: MediaEval"},{"key":"7837_CR25","doi-asserted-by":"crossref","unstructured":"Gialampoukidis I, Andreadis S, Vrochidis S, Kompatsiaris I (2021) Fusion Multimodal Data, of Social Media and Satellite Images for Emergency Response and Decision-Making. In: (2021) IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE 228\u2013231","DOI":"10.1109\/IGARSS47720.2021.9554176"},{"key":"7837_CR26","first-page":"97","volume":"63","author":"DF Mantsis","year":"2020","unstructured":"Mantsis DF, Bakratsas M, Andreadis S, Karsisto P, Moumtzidou A, Gialampoukidis I, Karppinen A, Vrochidis S, Kompatsiaris I (2020) Multimodal fusion of sentinel 1 images and social media data for snow depth estimation. IEEE Geosci Remote Sens Lett 63:97\u2013111","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"7837_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115400","volume":"183","author":"JG Choi","year":"2021","unstructured":"Choi JG, Kong CW, Kim G, Lim S (2021) Car crash detection using ensemble deep learning and multimodal data from dashboard cameras. Expert Syst Appl 183:115400","journal-title":"Expert Syst Appl"},{"issue":"1","key":"7837_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12544-021-00519-w","volume":"13","author":"S Cerqueira","year":"2021","unstructured":"Cerqueira S, Arsenio E, Henriques R (2021) On how to incorporate public sources of situational context in descriptive and predictive models of traffic data. Europ Trans Res Rev 13(1):1\u201322","journal-title":"Europ Trans Res Rev"},{"issue":"1","key":"7837_CR29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12544-020-00457-z","volume":"13","author":"C Lemonde","year":"2021","unstructured":"Lemonde C, Arsenio E, Henriques R (2021) Integrative analysis of multimodal traffic data: addressing open challenges using big data analytics in the city of Lisbon. Europ Transt Res Rev 13(1):1\u201322","journal-title":"Europ Transt Res Rev"},{"key":"7837_CR30","unstructured":"Tan H,\u00a0Bansal M, Lxmert: Learning cross-modality encoder representations from transformers. arXiv preprintarXiv:1908.07490"},{"key":"7837_CR31","first-page":"13","volume":"64","author":"J Lu","year":"2019","unstructured":"Lu J, Batra D, Parikh D, Lee S (2019) Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks. Adv Neul Informat Process Syst 64:13\u201323","journal-title":"Adv Neul Informat Process Syst"},{"key":"7837_CR32","unstructured":"Li LH,\u00a0Yatskar M,\u00a0Yin D, Hsieh CJ, Chang KW, Visualbert: A simple and performant baseline for vision and language, arXiv preprint arXiv:1908.03557"},{"issue":"4","key":"7837_CR33","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1007\/s10618-013-0322-1","volume":"28","author":"J Hills","year":"2014","unstructured":"Hills J, Lines J, Baranauskas E, Mapp J, Bagnall A (2014) Classification of time series by shapelet transformation. Data Min Knowled Disc 28(4):851\u2013881","journal-title":"Data Min Knowled Disc"},{"key":"7837_CR34","doi-asserted-by":"crossref","unstructured":"AlDhanhani A,\u00a0Damiani E,\u00a0Mizouni R,\u00a0Wang D (2018) Analysis of Shapelet Transform Usage in Traffic Event Detection. In: 2018 IEEE International Conference on Cognitive Computing (ICCC), IEEE, 41\u201348","DOI":"10.1109\/ICCC.2018.00013"},{"key":"7837_CR35","unstructured":"Bostrom A,\u00a0Bagnall A,\u00a0Lines J, Evaluating Improvements to the Shapelet Transform, www-bcf. usc. edu"},{"key":"7837_CR36","unstructured":"Bostrom A (2018) Shapelet Transforms for Univariate and Multivariate Time Series Classification, Ph.D. thesis, University of East Anglia"},{"key":"7837_CR37","doi-asserted-by":"crossref","unstructured":"Speer R, Chin J,\u00a0Havasi C (2017) ConceptNet 5.5: an Open Multilingual Graph of General Knowledge, http:\/\/aaai.org\/ocs\/index.php\/AAAI\/AAAI17\/paper\/view\/14972","DOI":"10.1609\/aaai.v31i1.11164"},{"key":"7837_CR38","doi-asserted-by":"publisher","first-page":"722","DOI":"10.1007\/978-3-540-76298-0_52","volume-title":"The semantic web","author":"S Auer","year":"2007","unstructured":"Auer S, Bizer C, Kobilarov G, Lehmann J, Cyganiak R, Ives Z (2007) Dbpedia: A nucleus for a web of open data. The semantic web. Springer, London, pp 722\u2013735"},{"key":"7837_CR39","unstructured":"P.\u00a0University About WordNet. (2019) https:\/\/wordnet.princeton.edu,"},{"key":"7837_CR40","doi-asserted-by":"crossref","unstructured":"Suliman AT,\u00a0Al\u00a0Kaabi K,\u00a0Wang D,\u00a0Al-Rubaie A,\u00a0Al\u00a0Dhanhani A,\u00a0Ruta D,\u00a0Davies J, Clarke SS (2016) Event identification and assertion from social media using auto-extendable knowledge base, in: International Joint Conference on Neural Networks (IJCNN), 2016, IEEE. pp 4443\u20134450","DOI":"10.1109\/IJCNN.2016.7727781"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07837-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-07837-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07837-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T17:14:14Z","timestamp":1673284454000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-07837-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,26]]},"references-count":40,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,1]]}},"alternative-id":["7837"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-07837-7","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,26]]},"assertion":[{"value":"22 May 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 September 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 September 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no conflicts of interest to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}},{"value":"The datasets generated and analysed during the current study are available in the multi-modal traffic event detection repository, .","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Data Access"}}]}}