{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:26:16Z","timestamp":1754155576631,"version":"3.41.2"},"reference-count":47,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2015,1,12]],"date-time":"2015-01-12T00:00:00Z","timestamp":1421020800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,1,12]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 Traffic congestion is becoming a serious problem that has adverse consequences on the socio-economy, environment, and public health of various cities worldwide. The purpose of this paper is to contribute to the continuous search for new alternative solutions to prevent or alleviate these concerns. It particularly deals with the development of decision support system based on a data fusion for the management and control of traffic at signalized intersections. The role of such systems is to manage the existing infrastructure to ease congestion and respond to crises. The proposed system is based on multi-detector data fusion, a data processing function that combines imperfect information collected from systems involving several detectors. The developed system is then tested on a virtual junction, and the results obtained are reported and discussed. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 This paper presents a new traffic light control based on multi-detectors data fusion theory. The system uses a new multi-detectors data fusion method for traffic data analysis. Moreover, the system integrates a method for the estimation of the reliability degree of different detectors taking into account their imperfection and the conflict between them. These estimated reliability degrees are combined using Dempster\u2019s rule of combination. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 The paper provides a decision support system for traffic regulation at intersection based on multi-sensors. It suggests the fusion of captured data by many sensors for measuring information. The system use the Belief Functions Theory for information fusion and decision making using combination and decision rules. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 The paper proposes a new Adaptive Traffic Control System based on a new data fusion approach that include a method for the estimation of the reliability degree of different detectors taking into account their imperfection and the conflict between them. These estimated reliability degrees are combined using Dempster\u2019s rule of combination.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/k-08-2013-0185","type":"journal-article","created":{"date-parts":[[2015,1,13]],"date-time":"2015-01-13T05:41:38Z","timestamp":1421127698000},"page":"57-76","source":"Crossref","is-referenced-by-count":2,"title":["Decision fusion for signalized intersection control"],"prefix":"10.1108","volume":"44","author":[{"given":"Sabeur","family":"Elkosantini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed","family":"Frikha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020122701093423300_b1","doi-asserted-by":"crossref","unstructured":"Adler, J.L.\n and \n Blue, V.J.\n (1998), \u201cToward the design of intelligent traveler information systems\u201d, \n Transportation Research Part C: Emerging Technologies\n , Vol. 6 No. 3, pp. 157-172.","DOI":"10.1016\/S0968-090X(98)00012-6"},{"key":"key2020122701093423300_b2","unstructured":"Arel, I.\n , \n Liu, C.\n , \n Urbanik, T.\n and \n Kohls, A.G.\n (2010), \u201cReinforcement learning-based multi-agent system for network traffic signal control, intelligent transport systems\u201d, \n IET\n , Vol. 4 No. 2, pp. 128-135."},{"key":"key2020122701093423300_b3","unstructured":"Askerzade, I.N.\n and \n Mahmood, M.\n (2010), \u201cControl the extension time of traffic light in single junction by using fuzzy logic\u201d, \n International Journal of Electrical & Computer Sciences IJECS-IJENS\n , Vol. 10 No. 2, pp. 52-59"},{"key":"key2020122701093423300_b4","unstructured":"Behrisch, M.\n , \n Bieker, L.\n , \n Erdmann, J.\n and \n Krajzewicz, D.\n (2011), \u201cSUMO \u2013 simulation of Urban Mobility: an overview\u201d, SIMUL 2011, The Third International Conference on Advances in System Simulation, Barcelona, pp. 63-68."},{"key":"key2020122701093423300_b5","unstructured":"Boillot, F.\n , \n Blosseville, J.M.\n , \n Lesort, J.B.\n , \n Motyka, V.\n , \n Papageorgiou, M.\n and \n Sellam, S.\n (1992), \u201cOptimal signal control of urban traffic networks\u201d, 6th IEE International Conference on Road Traffic Monitoring and Control, pp. 75-79."},{"key":"key2020122701093423300_b6","unstructured":"Bomarius, F.A.\n (1992), \u201cMulti-agents approach towards modeling urban traffic scenario\u201d, Technical Report No. RR-92-47, DFKI-GmbH."},{"key":"key2020122701093423300_b7","unstructured":"Chang, E.C.P.\n , \n Lei, J.C.K.\n and \n Messer, C.J.\n (1988), \u201cArterial signal timing optimization using PASSER-II\u201d, Texas Transportation Institute, Alexandria, VA."},{"key":"key2020122701093423300_b8","unstructured":"Chen, S.W.\n (2007), \u201cAlgorithms for the traffic light setting problem on the graph model\u201d, thesis, National Sun Yat-Sen University, Taiwan."},{"key":"key2020122701093423300_b9","unstructured":"Clymer, J.R.\n (2003), \n Simulation of a Vehicle Traffic Control Network Using a Fuzzy Classifier System\n , California State University, Fullerton, CA."},{"key":"key2020122701093423300_b31","doi-asserted-by":"crossref","unstructured":"Davidsson, P.\n , \n Henesey, L.\n , \n Ramstedt, L.\n , \n Tornquist, J.\n and \n Wernstedt, F.\n (2005), \u201cAn analysis of agent-based approaches to transport logistics\u201d, \n Transportation Research Part C\n , Vol. 13 No. 4, pp. 255-271.","DOI":"10.1016\/j.trc.2005.07.002"},{"key":"key2020122701093423300_b10","doi-asserted-by":"crossref","unstructured":"Dempster, A.P.\n (1967), \u201cUpper and lower probabilities induced by multiple-valued mapping\u201d, \n Annals of Mathematical Statistics\n , Vol. 38 No. 2, pp. 325-339.","DOI":"10.1214\/aoms\/1177698950"},{"key":"key2020122701093423300_b11","unstructured":"Destercke, S.\n (2008), \u201cUncertainty representation and combination: new results with application to nuclear safety issues\u201d, PhD thesis, University Paul Sabatier, Toulouse."},{"key":"key2020122701093423300_b12","unstructured":"Dhar,A.\n (2008), \u201cTraffic and road condition monitoring system\u201d, technical report, Indian Institute of Technology, Bombay."},{"key":"key2020122701093423300_b13","unstructured":"Farges, J.L.\n , \n Henry, J.J.\n and \n Tufal, J.\n (1983), \u201cThe PRODYN real-time traffic algorithm\u201d, 4th IFAC Symposium on Transportation Systems, pp. 307-312."},{"key":"key2020122701093423300_b14","unstructured":"Federal Highway Administration\n (2005), \n Traffic Control Systems Handbook\n , Federal Highway Administration, Washington, DC."},{"key":"key2020122701093423300_b15","unstructured":"FHWA-SA-13-027\n (2003), \n Signalized Intersections Informational Guide\n , 2nd ed., FHWA, McLean, VA."},{"key":"key2020122701093423300_b16","doi-asserted-by":"crossref","unstructured":"Harmanec, D.\n and \n Klir, G.J.\n (1994), \u201cMeasuring total uncertainty in Dempster \u2013 Shafer theory: a novel approach\u201d, \n International Journal of General Systems\n , Vol. 22 No. 4, pp. 405-419.","DOI":"10.1080\/03081079408935225"},{"key":"key2020122701093423300_b17","doi-asserted-by":"crossref","unstructured":"Hawas, Y.\n (2007), \u201cA fuzzy-based system for incident detection in urban street networks\u201d, \n Transportation Research Part C\n , Vol. 15 No. 2, pp. 69-95.","DOI":"10.1016\/j.trc.2007.02.001"},{"key":"key2020122701093423300_b18","unstructured":"Hu, H.\n and \n Gao, J.\n (2003), \u201cA new method of determining the basic belief assignment in D-S evidence theory\u201d, Proceedings of 2nd International Conference on Machine Learning and Cybernetics, pp. 3208-3211."},{"key":"key2020122701093423300_b19","doi-asserted-by":"crossref","unstructured":"Jiang, W.\n and \n Deng, Y.J.P.\n (2011), \u201cA new method to determine BPA in evidence theory\u201d, \n Journal of Computers\n , Vol. 6 No. 6, pp. 1162-1167.","DOI":"10.4304\/jcp.6.6.1162-1167"},{"key":"key2020122701093423300_b20","doi-asserted-by":"crossref","unstructured":"Jousselme, A.-L.\n , \n Grenier, D.\n and \n Boss\u00e9, E.\n (2001), \u201cA new distance between two bodies of evidence\u201d, \n Information Fusion\n , Vol. 2 No. 2, pp. 91-101.","DOI":"10.1016\/S1566-2535(01)00026-4"},{"key":"key2020122701093423300_b21","unstructured":"Klein, L.A.\n , \n Mills, M.K.\n and \n Gibso, D.R.P.\n (2006), \n Traffic Detector Handbook\n , 3rd ed. \u2013 vol I, The Federal Highway Administration, McLean, VA."},{"key":"key2020122701093423300_b22","doi-asserted-by":"crossref","unstructured":"Kong, Q.J.\n , \n Li, Z.\n , \n Chen, Y.\n and \n Liu, Y.\n (2009), \u201cAn approach to urban traffic state estimation by fusing multisource information\u201d, \n IEEE Transactions on Intelligent Transportation Systems\n , Vol. 10 No. 3, pp. 499-511.","DOI":"10.1109\/TITS.2009.2026308"},{"key":"key2020122701093423300_b152","doi-asserted-by":"crossref","unstructured":"Kosmatopoulos, E.B.\n , \n Papageorgiou, M.\n , \n Vakouli, A.\n and \n Kouvelas, A.\n (2007), \u201cAdaptive fine-tuning of nonlinear control systems with application to the urban traffic control strategy TUC\u201d, \n IEEE Transactions on Control Systems Technology\n , Vol. 15 No. 6, pp. 991-1002.","DOI":"10.1109\/TCST.2007.899645"},{"key":"key2020122701093423300_b24","unstructured":"Little, J.\n , \n Kelson, M.\n and \n Gartner, N.\n (1981), \u201cMAXBAND: a program for setting signals on arteries and triangular networks\u201d, Transportation Research Record 795, National Research Council, Washington, DC, pp. 40-46."},{"key":"key2020122701093423300_b25","doi-asserted-by":"crossref","unstructured":"Liu, Z.G.\n , \n Dezert, J.\n , \n Pana, Q.\n and \n Mercier, G.\n (2011), \u201cCombination of sources of evidence with different discounting factors based on a new dissimilarity measure\u201d, \n Decision Support Systems\n , Vol. 52 No. 1, pp. 133-141.","DOI":"10.1016\/j.dss.2011.06.002"},{"key":"key2020122701093423300_b28","unstructured":"Martin, A.\n , \n Jousselme, A.-L.\n and \n Osswald, C.\n (2008), \u201cConflict measure for the discounting operation on belief functions\u201d, International Conference on Information Fusion, Brest, pp. 1003-1010."},{"key":"key2020122701093423300_b27","unstructured":"Martin, A.\n , \n Jousselme, L.\n and \n Osswald, C.\n (2008), \u201cConflict measure for the discounting operation on belief functions\u201d, International Conference on Information Fusion, Cologne, pp. 1003-1010."},{"key":"key2020122701093423300_b29","doi-asserted-by":"crossref","unstructured":"Messai, N.\n , \n Thomas, P.\n , \n Lefebvre, D.\n and \n El Moudni, A.\n (2004), \u201cNeural networks for local monitoring of traffic magnetic detectors\u201d, \n Control Engineering Practice\n , Vol. 13 No. 1, pp. 67-80.","DOI":"10.1016\/j.conengprac.2004.02.005"},{"key":"key2020122701093423300_b30","unstructured":"Moalla, D.\n , \n Elkosantini, S.\n and \n Darmoul, S.\n (2013), \u201cAn artificial immune network to control traffic at a single intersection\u201d, International Conference on Industrial Engineering and Systems Management, pp. 842-848."},{"key":"key2020122701093423300_b26","doi-asserted-by":"crossref","unstructured":"Nair, M.B.\n and \n Cai, J.\n (2007), \u201cA fuzzy logic controller for isolated signalized intersection with traffic abnormality considered\u201d, IEEE Intelligent Vehicles Symposium, Istanbul, June 13-15.","DOI":"10.1109\/IVS.2007.4290286"},{"key":"key2020122701093423300_b32","doi-asserted-by":"crossref","unstructured":"Perrin, S.\n , \n Duflos, E.\n , \n Vanheeghe, P.\n and \n Bibaut, A.\n (2004), \u201cMultidetector fusion in the frame of evidence theory for landmines detection\u201d, \n IEEE Transactions on Systems, Man And Cybernetics Part C, Applications And Reviews\n , Vol. 34 No. 4, pp. 485-498.","DOI":"10.1109\/TSMCC.2004.829266"},{"key":"key2020122701093423300_b33","doi-asserted-by":"crossref","unstructured":"Quek, C.\n , \n Pasquier, M.\n and \n Lim, B.\n (2009), \u201cA novel self-organizing fuzzy rule-based system for modelling traffic flow behaviour\u201d, \n Expert Syst Appl.\n , Vol. 36 No. 10, pp. 12167-12178.","DOI":"10.1016\/j.eswa.2009.03.048"},{"key":"key2020122701093423300_b34","doi-asserted-by":"crossref","unstructured":"Robert, K.\n (2010), \u201cBringing richer information with reliability to automated traffic monitoring from the fusion of multiple cameras, inductive loops and road maps\u201d, Proceedings of the 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS \u201910, Washington, DC, pp. 9-16.","DOI":"10.1109\/AVSS.2010.67"},{"key":"key2020122701093423300_b36","unstructured":"Robertson, D.I.\n (1969), \u201cTRANSYT method for area traffic control\u201d, \n Traffic Eng Control\n , Vol. 10, pp. 276-281."},{"key":"key2020122701093423300_b35","doi-asserted-by":"crossref","unstructured":"Robertson, D.I.\n and \n Bretherton, R.D.\n (1991), \u201cOptimizing networks of traffic signals in real time-the SCOOT method\u201d, \n IEEE Trans Veh Technol.\n , Vol. 40 No. 1, pp. 11-15.","DOI":"10.1109\/25.69966"},{"key":"key2020122701093423300_b37","doi-asserted-by":"crossref","unstructured":"Salkham, A.\n , \n Cunningham, R.\n , \n Garg, A.\n and \n Cahill, V.\n (2008), \u201cA collaborative reinforcement learning approach to urban traffic control optimization\u201d, IEEE\/WIC\/ACM International Conference on Web Intelligence and Intelligent Agent Technology, pp. 560-566.","DOI":"10.1109\/WIIAT.2008.88"},{"key":"key2020122701093423300_b38","doi-asserted-by":"crossref","unstructured":"Samet, A.\n , \n Hammami, I.\n , \n Lef\u00e8vre, E.\n and \n Hamoudaa, A.\n (2013), \u201cGeneric discounting evaluation approach for urban image classification, integrated uncertainty in knowledge modelling and decision making\u201d, \n Lecture Notes in Computer Science\n , Vol. 8032, pp. 79-90.","DOI":"10.1007\/978-3-642-39515-4_7"},{"key":"key2020122701093423300_b39","doi-asserted-by":"crossref","unstructured":"Sen, S.\n and \n Head, L.\n (1997), \u201cControlled optimization of phases at an intersection\u201d, \n Transportation Science\n , Vol. 31 No. 1, pp. 5-17.","DOI":"10.1287\/trsc.31.1.5"},{"key":"key2020122701093423300_b40","unstructured":"Shafer, G.\n (1976), \n A Mathematical Theory of Evidence\n , Princeton University Press, Princeton, NJ."},{"key":"key2020122701093423300_b42","doi-asserted-by":"crossref","unstructured":"Smets, P.\n and \n Kennes, R.\n (1994), \u201cThe transferable belief model\u201d, \n Artificial Intelligence\n , Vol. 66, pp. 191-234.","DOI":"10.1016\/0004-3702(94)90026-4"},{"key":"key2020122701093423300_b151","unstructured":"Soares, M.G.F.\n (2013), \u201cSimulating drivers\u2019 decision-making under information dissemination\u201d, master thesis, University of Porto, Porto."},{"key":"key2020122701093423300_b44","doi-asserted-by":"crossref","unstructured":"Srinivasan, D.\n , \n Cheu, R.L.\n , \n Poh, Y.P.\n and \n Ng, A.K.C.\n (2000), \u201cDevelopment of an intelligent technique for traffic network incident detection\u201d, \n Engineering Applications of Artificial Intelligence\n , Vol. 13 No. 3, pp. 311-322.","DOI":"10.1016\/S0952-1976(00)00011-7"},{"key":"key2020122701093423300_b45","unstructured":"Wallace, E.\n , \n Courage, K.\n , \n Reaves, P.\n , \n Schoene, W.\n and \n Euker, G.\n (1988), \n TRANSYT-7F User\u2019s Manual\n , Transportation, Research Center, University of Florida, Gainesville, FL."},{"key":"key2020122701093423300_b46","doi-asserted-by":"crossref","unstructured":"Wen, W.A.\n (2008), \u201cDynamic and automatic light control system for solving the road congestion problem\u201d, \n Expert Systems With Applications\n , Vol. 34, pp. 2370-2381.","DOI":"10.1016\/j.eswa.2007.03.007"},{"key":"key2020122701093423300_b47","doi-asserted-by":"crossref","unstructured":"Wunderlich, R.\n , \n Liu, C.\n , \n Elhanany, I.\n and \n Urbanik, T.\n (2008), \u201cA novel signal scheduling algorithm with quality of service provisioning for an isolated intersection\u201d, \n IEEE Transactions on Intelligent Transportation Systems\n , Vol. 9 No. 3, pp. 536-547.","DOI":"10.1109\/TITS.2008.928266"},{"key":"key2020122701093423300_b48","unstructured":"Zadeh, L.\n (1979), \n On the Validity of Dempsters Rule of Combination of Evidence. Erl Memorandum M79\/24\n , University of California, Berkeley, CA."}],"container-title":["Kybernetes"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/K-08-2013-0185","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/K-08-2013-0185\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/K-08-2013-0185\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T21:49:37Z","timestamp":1753393777000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/k\/article\/44\/1\/57-76\/272966"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,1,12]]},"references-count":47,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,1,12]]}},"alternative-id":["10.1108\/K-08-2013-0185"],"URL":"https:\/\/doi.org\/10.1108\/k-08-2013-0185","relation":{},"ISSN":["0368-492X"],"issn-type":[{"type":"print","value":"0368-492X"}],"subject":[],"published":{"date-parts":[[2015,1,12]]}}}