{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T12:23:30Z","timestamp":1769603010129,"version":"3.49.0"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,12,10]],"date-time":"2019-12-10T00:00:00Z","timestamp":1575936000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,12,10]],"date-time":"2019-12-10T00:00:00Z","timestamp":1575936000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61966036"],"award-info":[{"award-number":["61966036"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61662086"],"award-info":[{"award-number":["61662086"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the Natural Science Foundation of Yunnan Province","award":["2016FA026"],"award-info":[{"award-number":["2016FA026"]}]},{"name":"the Project of Innovative Research Team of Yunnan Province","award":["2018HC019"],"award-info":[{"award-number":["2018HC019"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Evol. Intel."],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s12065-019-00332-4","type":"journal-article","created":{"date-parts":[[2020,2,7]],"date-time":"2020-02-07T09:04:16Z","timestamp":1581066256000},"page":"221-233","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Mining traffic congestion propagation patterns based on spatio-temporal co-location patterns"],"prefix":"10.1007","volume":"13","author":[{"given":"Lu","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2214-2299","authenticated-orcid":false,"given":"Lizhen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,12,10]]},"reference":[{"key":"332_CR1","volume-title":"The physics of traffic: empirical freeway pattern features, engineering applications, and theory","author":"BS Kerner","year":"2012","unstructured":"Kerner BS (2012) The physics of traffic: empirical freeway pattern features, engineering applications, and theory. Springer, Berlin"},{"key":"332_CR2","doi-asserted-by":"crossref","DOI":"10.1108\/9780585475301","volume-title":"Fundamentals of transportation and traffic operations","author":"C Daganzo","year":"1997","unstructured":"Daganzo C, Daganzo CF (1997) Fundamentals of transportation and traffic operations. Pergamon, Oxford"},{"key":"332_CR3","volume-title":"Traffic flow on networks","author":"M Garavello","year":"2006","unstructured":"Garavello M, Piccoli B (2006) Traffic flow on networks. American institute of mathematical sciences, Springfield"},{"issue":"3","key":"332_CR4","doi-asserted-by":"crossref","first-page":"765","DOI":"10.4310\/CMS.2008.v6.n3.a12","volume":"6","author":"A Cascone","year":"2008","unstructured":"Cascone A, D\u2019Apice C, Piccoli B, Rarit\u00e0 L (2008) Circulation of car traffic in congested urban areas. Commun Math Sci 6(3):765\u2013784","journal-title":"Commun Math Sci"},{"issue":"3","key":"332_CR5","first-page":"1","volume":"2012","author":"A Cutolo","year":"2012","unstructured":"Cutolo A, De Nicola C, Manzo R, Rarit\u00e0 L (2012) Optimal paths on urban networks using travelling times prevision. Model Simul Eng 2012(3):1\u20139","journal-title":"Model Simul Eng"},{"issue":"4","key":"332_CR6","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1017\/S0956792512000071","volume":"23","author":"R Manzo","year":"2012","unstructured":"Manzo R, Piccoli B, Rarit\u00e0 L (2012) Optimal distribution of traffic flows in emergency cases. Eur J Appl Math 23(4):515\u2013535","journal-title":"Eur J Appl Math"},{"issue":"12","key":"332_CR7","doi-asserted-by":"crossref","first-page":"3110","DOI":"10.1016\/j.jde.2010.09.006","volume":"249","author":"L Rarit\u00e0","year":"2010","unstructured":"Rarit\u00e0 L, D\u2019Apice C, Piccoli B, Helbing D (2010) Sensitivity analysis of permeability parameters for flows on Barcelona networks. J Differ Equ 249(12):3110\u20133131","journal-title":"J Differ Equ"},{"issue":"1","key":"332_CR8","first-page":"59","volume":"13","author":"A Cascone","year":"2010","unstructured":"Cascone A, Marigo A, Piccoli B, Rarit\u00e0 L (2010) Decentralized optimal routing for packets flow on data networks. Discrete Contin Dyn Syst Ser B 13(1):59\u201378","journal-title":"Discrete Contin Dyn Syst Ser B"},{"issue":"55","key":"332_CR9","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.trc.2015.03.040","volume":"2015","author":"Z Zhang","year":"2015","unstructured":"Zhang Z, Wolshon B, Dixit VV (2015) Integration of a cell transmission model and macroscopic fundamental diagram: network aggregation for dynamic traffic models. Transp Res Part C Emerg Technol 2015(55):298\u2013309","journal-title":"Transp Res Part C Emerg Technol"},{"issue":"3","key":"332_CR10","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1007\/s40864-018-0084-6","volume":"4","author":"Z Zeng","year":"2018","unstructured":"Zeng Z, Li T (2018) Analyzing congestion propagation on urban rail transit oversaturated conditions: a framework based on SIR Epidemic Model. Urban Rail Transit 4(3):130\u2013140","journal-title":"Urban Rail Transit"},{"issue":"4","key":"332_CR11","doi-asserted-by":"crossref","first-page":"1121","DOI":"10.1007\/s11276-015-1021-1","volume":"22","author":"Z Liu","year":"2016","unstructured":"Liu Z, Liu Y, Wang J, Deng W (2016) Modeling and simulating traffic congestion propagation in connected vehicles driven by temporal and spatial preference. Wirel Netw 22(4):1121\u20131131","journal-title":"Wirel Netw"},{"key":"332_CR12","doi-asserted-by":"crossref","unstructured":"Liu W, Zheng Y, Chawla S, Yuan J, Xing X (2011) Discovering spatio-temporal causal interactions in traffic data streams. In: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, pp 1010\u20131018","DOI":"10.1145\/2020408.2020571"},{"issue":"2","key":"332_CR13","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1109\/TBDATA.2016.2587669","volume":"3","author":"H Nguyen","year":"2016","unstructured":"Nguyen H, Liu W, Chen F (2016) Discovering congestion propagation patterns in spatio-temporal traffic data. IEEE Trans Big Data 3(2):169\u2013180","journal-title":"IEEE Trans Big Data"},{"issue":"5","key":"332_CR14","doi-asserted-by":"crossref","first-page":"934","DOI":"10.1049\/cje.2018.04.011","volume":"27","author":"Z Shan","year":"2018","unstructured":"Shan Z, Pan Z, Li F, Xu H, Li J (2018) Visual analytics of traffic congestion propagation path with large scale camera data. Chin J Electron 27(5):934\u2013941","journal-title":"Chin J Electron"},{"key":"332_CR15","doi-asserted-by":"crossref","first-page":"962","DOI":"10.1016\/j.trpro.2017.05.053","volume":"23","author":"M Saeedmanesh","year":"2017","unstructured":"Saeedmanesh M, Geroliminis N (2017) Dynamic clustering and propagation of congestion in heterogeneously congested urban traffic networks. Transp Res Proc 23:962\u2013979","journal-title":"Transp Res Proc"},{"key":"332_CR16","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1016\/j.trpro.2016.06.043","volume":"15","author":"F Rempe","year":"2016","unstructured":"Rempe F, Huber G, Bogenberger K (2016) Spatio-temporal congestion patterns in urban traffic networks. Transp Res Proc 15:513\u2013524","journal-title":"Transp Res Proc"},{"issue":"1","key":"332_CR17","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1109\/TKDE.2017.2759110","volume":"30","author":"L Wang","year":"2017","unstructured":"Wang L, Bao X, Zhou L (2017) Redundancy reduction for prevalent co-location patterns. IEEE Trans Knowl Data Eng 30(1):142\u2013155","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"332_CR18","first-page":"46","volume-title":"Web and Big Data","author":"Ying He","year":"2018","unstructured":"He Y, Wang L, Fang Y, Li Y (2018) Discovering congestion propagation patterns by co-location pattern mining. In: Asia-Pacific web (APWeb) and web-age information management (WAIM) joint international conference on web and big data. Springer, Cham, pp 46\u201355"},{"issue":"10","key":"332_CR19","doi-asserted-by":"crossref","first-page":"1322","DOI":"10.1109\/TKDE.2008.97","volume":"20","author":"M Celik","year":"2008","unstructured":"Celik M, Shekhar S, Rogers JP, Shine JA (2008) Mixed-drove spatiotemporal co-occurrence pattern mining. IEEE Trans Knowl Data Eng 20(10):1322\u20131335","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"1","key":"332_CR20","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/s10115-014-0750-2","volume":"44","author":"M Celik","year":"2015","unstructured":"Celik M (2015) Partial spatio-temporal co-occurrence pattern mining. Knowl Inf Syst 44(1):27\u201349","journal-title":"Knowl Inf Syst"},{"key":"332_CR21","doi-asserted-by":"crossref","unstructured":"Qian F, Yin L, He Q, He J (2009) Mining spatio-temporal co-location patterns with weighted sliding window. In: 2009 IEEE international conference on intelligent computing and intelligent systems, vol 3. IEEE, pp 181\u2013185","DOI":"10.1109\/ICICISYS.2009.5358192"},{"issue":"3","key":"332_CR22","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s10109-015-0216-4","volume":"17","author":"M Akbari","year":"2015","unstructured":"Akbari M, Samadzadegan F, Weibel R (2015) A generic regional spatio-temporal co-occurrence pattern mining model: a case study for air pollution. J Geogr Syst 17(3):249\u2013274","journal-title":"J Geogr Syst"},{"key":"332_CR23","doi-asserted-by":"crossref","unstructured":"Pillai KG, Angryk RA, Banda JM, Schuh MA, Wylie T (2012) Spatio-temporal co-occurrence pattern mining in data sets with evolving regions. In: 2012 IEEE 12th international conference on data mining workshops. IEEE, pp 805\u2013812","DOI":"10.1109\/ICDMW.2012.130"},{"issue":"436\u2013437","key":"332_CR24","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.ins.2018.01.011","volume":"2018","author":"L Wang","year":"2018","unstructured":"Wang L, Bao X, Chen H, Cao L (2018) Effective lossless condensed representation and discovery of spatial co-location patterns. Inf Sci 2018(436\u2013437):197\u2013213","journal-title":"Inf Sci"},{"issue":"490","key":"332_CR25","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.ins.2019.03.072","volume":"2019","author":"X Bao","year":"2019","unstructured":"Bao X, Wang L (2019) A clique-based approach for co-location pattern mining. Inf Sci 2019(490):244\u2013264","journal-title":"Inf Sci"},{"issue":"5","key":"332_CR26","doi-asserted-by":"crossref","first-page":"1971","DOI":"10.1007\/s11280-018-0646-2","volume":"22","author":"L Wang","year":"2019","unstructured":"Wang L, Bao X, Zhou L, Chen H (2019) Mining maximal sub-prevalent co-location patterns. World Wide Web 22(5):1971\u20131997","journal-title":"World Wide Web"}],"container-title":["Evolutionary Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-019-00332-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12065-019-00332-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-019-00332-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,9]],"date-time":"2020-12-09T01:56:56Z","timestamp":1607479016000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12065-019-00332-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,10]]},"references-count":26,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["332"],"URL":"https:\/\/doi.org\/10.1007\/s12065-019-00332-4","relation":{},"ISSN":["1864-5909","1864-5917"],"issn-type":[{"value":"1864-5909","type":"print"},{"value":"1864-5917","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12,10]]},"assertion":[{"value":"25 July 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 November 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 November 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 December 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}