{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T16:10:08Z","timestamp":1784823008737,"version":"3.55.0"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"19","license":[{"start":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T00:00:00Z","timestamp":1619395200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T00:00:00Z","timestamp":1619395200000},"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":["Neural Comput & Applic"],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1007\/s00521-021-05940-9","type":"journal-article","created":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T05:02:25Z","timestamp":1619413345000},"page":"12905-12920","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Traffic volume prediction using intuitionistic fuzzy Grey-Markov model"],"prefix":"10.1007","volume":"33","author":[{"given":"Kuppuswami","family":"Govindan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sujatha","family":"Ramalingam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Said","family":"Broumi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,4,26]]},"reference":[{"issue":"1","key":"5940_CR1","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/S0165-0114(86)80034-3","volume":"20","author":"K Atanassov","year":"1986","unstructured":"Atanassov K (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87\u201396","journal-title":"Fuzzy Sets Syst"},{"key":"5940_CR2","volume-title":"Short-term freeway traffic flow prediction using genetically-optimized time-delay-based neural networks","author":"B Abdulhai","year":"1999","unstructured":"Abdulhai B, Porwal H, Recker W (1999) Short-term freeway traffic flow prediction using genetically-optimized time-delay-based neural networks. University of California, Berkeley, Institute of Transportation Studies"},{"key":"5940_CR3","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1016\/j.eswa.2016.06.032","volume":"62","author":"B Anton","year":"2016","unstructured":"Anton B, Gurcan C (2016) Short-term freeway traffic parameters prediction: applications of grey system theory models. Expert Syst Appl 62:284\u2013292","journal-title":"Expert Syst Appl"},{"key":"5940_CR4","first-page":"228","volume":"3","author":"A Asrari","year":"2012","unstructured":"Asrari A, Javan DS, Javidi MH, Monfared M (2012) Application of grey-fuzzy-Markov chain method for day-ahead electric load forecasting. Przeglad Elektrotechniczny 3:228\u2013237","journal-title":"Przeglad Elektrotechniczny"},{"key":"5940_CR5","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1002\/atr.1368","volume":"50","author":"M Badhrudeen","year":"2016","unstructured":"Badhrudeen M, Raj J, Vanajakshi L (2016) Short-term prediction of traffic parameters-performance comparison of a data-driven and less-data-required approaches. J Adv Transp 50:647\u2013666","journal-title":"J Adv Transp"},{"issue":"6","key":"5940_CR6","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1061\/(ASCE)0733-947X(2003)129:6(608)","volume":"129","author":"S Chein","year":"2003","unstructured":"Chein S, Kuchipudi CM (2003) Dynamic travel time prediction with real time and historic data. J Transp Eng 129(6):608\u2013616","journal-title":"J Transp Eng"},{"key":"5940_CR7","doi-asserted-by":"crossref","unstructured":"Chen M, Chien S (2001) Dynamic freeway travel time prediction using probe vehicle data:link based versus path-based. Transportation Research Board,80th Annual meeting, Washington","DOI":"10.3141\/1768-19"},{"key":"5940_CR8","first-page":"1","volume":"1","author":"J Deng","year":"1989","unstructured":"Deng J (1989) Introduction to Grey system theory. J Grey Syst 1:1\u201324","journal-title":"J Grey Syst"},{"key":"5940_CR9","doi-asserted-by":"crossref","unstructured":"Gong Y, Zhang Y (2013) Research of short term traffic volume prediction based on Kalman filtering. In: 6th international conference on intelligent networks and intelligent systems(ICINIS), China, pp 99-102","DOI":"10.1109\/ICINIS.2013.32"},{"issue":"9","key":"5940_CR10","first-page":"1680","volume":"6","author":"S Gao","year":"2011","unstructured":"Gao S, Zhang Z, Cao C (2011) Road traffic freight volume forecasting using support vector machine combining forecasting. J Softw 6(9):1680\u20131687","journal-title":"J Softw"},{"issue":"10","key":"5940_CR11","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1061\/(ASCE)0733-947X(2005)131:10(771)","volume":"131","author":"X Jiang","year":"2005","unstructured":"Jiang X, Adeli H (2005) Dynamic wavelet neural network model for traffic flow forecasting. ASCE J Transp Eng 131(10):771\u2013779","journal-title":"ASCE J Transp Eng"},{"key":"5940_CR12","doi-asserted-by":"crossref","unstructured":"Jianwen X, Yuanbiao Z, Weigang J (2008) An improved Grey-Markov chain method with an application to predict the number of Chinese international airlines. International Symposium on Information Science and Engineering, pp 716\u2013720","DOI":"10.1109\/ISISE.2008.326"},{"key":"5940_CR13","unstructured":"Jinlin M, Zhiqian C, Ken T (2013) Forecast of civil aviation freight volume using Unbiased-Grey-Fuzzy-Markov Chain Method. 6th International conference on information management, innovation management and industrial engineering, Xi\u2019an, China, pp 23\u201324"},{"issue":"1","key":"5940_CR14","first-page":"15","volume":"46","author":"L Kisgyorgy","year":"2002","unstructured":"Kisgyorgy L, Rilett LR (2002) Travel time prediction by advanced neural network. Period Polytech Serv Civ Eng 46(1):15\u201332","journal-title":"Period Polytech Serv Civ Eng"},{"issue":"2","key":"5940_CR15","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1002\/atr.5670340205","volume":"34","author":"WHK Lam","year":"2000","unstructured":"Lam WHK, Xu J (2000) Estimation of AADT from short period counts in Hong Kong-A comparison between neural network method and regression analysis. J Adv Transp 34(2):249\u2013268","journal-title":"J Adv Transp"},{"key":"5940_CR16","unstructured":"Lee Y (2009) Freeway travel time forecast using artificial neural networks with cluster method. 12th International Conference on Information Fusion, Seattle, WA, USA, pp 1331\u20131338"},{"key":"5940_CR17","doi-asserted-by":"crossref","unstructured":"Li Q, Xia Q, Wang H (2012) Demand forecasting of port logistics based on GM(1,1)-Fuzzy Markov model. 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, Nanjing, China","DOI":"10.1109\/RSETE.2012.6260525"},{"issue":"10","key":"5940_CR18","doi-asserted-by":"publisher","first-page":"12080","DOI":"10.3390\/en81012080","volume":"8","author":"G Nana","year":"2015","unstructured":"Nana G, Yeng Z, Yixiang S, Yunjian J, Dandan C (2015) Forecasting China\u2019s annual biofuel production using an improved Grey model. Energies 8(10):12080\u201312099","journal-title":"Energies"},{"issue":"1","key":"5940_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/0191-2615(84)90002-X","volume":"18","author":"I Okutani","year":"1984","unstructured":"Okutani I, Stephanedes YJ (1984) Dynamic prediction of traffic volume through Kalman filtering theory. Transp Res Part B Methodol 18(1):1\u201311","journal-title":"Transp Res Part B Methodol"},{"issue":"3","key":"5940_CR20","first-page":"160","volume":"1","author":"OT Olaleye","year":"2009","unstructured":"Olaleye OT, Sowunmi FA, Abiola OS, Salako MO, Eleyoowo IO (2009) A Markov Chain approach to the dynamics of vehicular traffic characteristics in abeokuta metropolic. Res J Appl Sci Eng Technol 1(3):160\u2013166","journal-title":"Res J Appl Sci Eng Technol"},{"issue":"1","key":"5940_CR21","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.trc.2014.02.007","volume":"43","author":"Y Qi","year":"2014","unstructured":"Qi Y, Ishak S (2014) A Hidden Markov model for short term predicition of traffic conditions on freeways. Transp Res Part-C Emerg Technol 43(1):95\u2013111","journal-title":"Transp Res Part-C Emerg Technol"},{"key":"5940_CR22","first-page":"98","volume":"1453","author":"BL Smith","year":"1994","unstructured":"Smith BL, Demetsky MJ (1994) Short-term traffic flow prediction: neural network approach. Transp Res Rec J Transp Res Board 1453:98\u2013104","journal-title":"Transp Res Rec J Transp Res Board"},{"key":"5940_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05115-y","author":"A Sharaf","year":"2020","unstructured":"Sharaf A, Wasan A, Rayouf A, Mohammad A (2020) Bayesian combined neural network for traffic volume short-term forecasting at adjacent intersections. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05115-y","journal-title":"Neural Comput Appl"},{"key":"5940_CR24","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1016\/j.trc.2005.03.001","volume":"13","author":"JWC VanLint","year":"2005","unstructured":"VanLint JWC, Hoogendoorn SP, VanZuylen HJ (2005) Accurate freeway travel time prediction with state-space neural networks under missing data. Transp Res Part-C Emerg Technol 13:347\u2013369","journal-title":"Transp Res Part-C Emerg Technol"},{"issue":"2","key":"5940_CR25","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.trb.2004.03.003","volume":"39","author":"Y Wang","year":"2005","unstructured":"Wang Y, Papageorgiou M (2005) Real-time freeway traffic state estimation based on extended Kalman filter: A general approach. Transp Res Part B Methodol 39(2):141\u2013167","journal-title":"Transp Res Part B Methodol"},{"key":"5940_CR26","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1111\/j.1467-8667.2007.00489.x","volume":"22","author":"Y Xie","year":"2007","unstructured":"Xie Y, Zhang Y, Zhirui Y (2007) Short-Term traffic volume forecasting using Kalman filter with discrete wavelet decomposition. Comput Aided Civ Infrastruct Eng 22:326\u2013334","journal-title":"Comput Aided Civ Infrastruct Eng"},{"key":"5940_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3141\/1879-01","volume":"1878","author":"F Yang","year":"2004","unstructured":"Yang F, Yin Z, Liu HX, Ran B (2004) Online recursive algorithm for short-term prediction. Transp Res Rec J Transp Res Board 1878:1\u20138","journal-title":"Transp Res Rec J Transp Res Board"},{"key":"5940_CR28","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/S0968-090X(01)00004-3","volume":"28","author":"H Yin","year":"2002","unstructured":"Yin H, Wong SC, Xu CK (2002) Urban traffic flow prediction using a fuzzy-neural approach. Transp Res Part C Emerg Technol 28:85\u201398","journal-title":"Transp Res Part C Emerg Technol"},{"issue":"5","key":"5940_CR29","first-page":"235","volume":"6","author":"A Yisheng","year":"2012","unstructured":"Yisheng A, Hua C, Xiangmo Z (2012) Exploring grey system in traffic volume prediction based on tall database. Int J Digit Content Technol Appl 6(5):235\u2013241","journal-title":"Int J Digit Content Technol Appl"},{"key":"5940_CR30","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh LA (1965) Fuzzy sets. Inf Control 8:338\u2013353","journal-title":"Inf Control"},{"issue":"3","key":"5940_CR31","first-page":"46","volume":"4","author":"Y Zhang","year":"2010","unstructured":"Zhang Y (2010) Predicting model of traffic volume based on Grey-Markov. Modern Appl Sci 4(3):46\u201350","journal-title":"Modern Appl Sci"},{"key":"5940_CR32","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/201686","author":"Y Zhiheng","year":"2015","unstructured":"Zhiheng Y, Tieli S, Hongguang S, Fengqin Y (2015) Research on combinational forecast models for the traffic flow. Math Prob Eng. https:\/\/doi.org\/10.1155\/2015\/201686","journal-title":"Math Prob Eng"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-05940-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-021-05940-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-05940-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,19]],"date-time":"2021-10-19T00:46:28Z","timestamp":1634604388000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-021-05940-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,26]]},"references-count":32,"journal-issue":{"issue":"19","published-print":{"date-parts":[[2021,10]]}},"alternative-id":["5940"],"URL":"https:\/\/doi.org\/10.1007\/s00521-021-05940-9","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,26]]},"assertion":[{"value":"4 November 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 March 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 April 2021","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 declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}