{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T06:05:44Z","timestamp":1760853944083,"version":"3.41.0"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319569932"},{"type":"electronic","value":"9783319569949"}],"license":[{"start":{"date-parts":[[2017,8,20]],"date-time":"2017-08-20T00:00:00Z","timestamp":1503187200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-56994-9_44","type":"book-chapter","created":{"date-parts":[[2017,8,19]],"date-time":"2017-08-19T02:08:25Z","timestamp":1503108505000},"page":"652-662","source":"Crossref","is-referenced-by-count":9,"title":["Large-Scale Traffic Grid Signal Control Using Decentralized Fuzzy Reinforcement Learning"],"prefix":"10.1007","author":[{"given":"Tian","family":"Tan","sequence":"first","affiliation":[]},{"given":"TianShu","family":"Chu","sequence":"additional","affiliation":[]},{"given":"Bo","family":"Peng","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,20]]},"reference":[{"key":"44_CR1","unstructured":"Zhao, D., Dai, Y., Zhang, Z.: Computational intelligence in urban traffic signal control: a survey. IEEE Trans. Syst. Man Cybern. C Appl. Rev. 42(4), 485\u2013494 (2012)"},{"key":"44_CR2","unstructured":"Webster, F.V.: Traffic signal setting. Road Research Laboratory, HMSO, London, UK, Technical Paper 39, p. 144 (1958)"},{"key":"44_CR3","unstructured":"Miller, A.J.: Settings for fixed-cycle traffic signals. Oper. Res. Q. 14(4), 373\u2013386 (1963)"},{"key":"44_CR4","unstructured":"TRL Software, December 2010. http:\/\/www.trlsoftware.co.uk\/"},{"key":"44_CR5","unstructured":"Sutton, R.S., Barto, A.G.: Reinforcement learning: an introduction. IEEE Trans. Neural Netw. 9(5), 1051\u20131053 (1998)"},{"key":"44_CR6","unstructured":"Wiering, M., Van Veenen, J., Vreeken, J., Koopman, A.: Intelligent Traffic Light Control. Institute of Information and Computing Sciences, Utrecht University (2004)"},{"key":"44_CR7","unstructured":"Zhang, C., Lesser, V.: Coordinating multi-agent reinforcement learning with limited communication. In: Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013), Saint Paul, Minnesota, USA, 6\u201310 May 2013"},{"issue":"04","key":"44_CR8","doi-asserted-by":"crossref","first-page":"P04019","DOI":"10.1088\/1742-5468\/2008\/04\/P04019","volume":"2008","author":"S Lammer","year":"2008","unstructured":"Lammer, S., Helbing, D.: Self-control of traffic lights and vehicle flows in urban road networks. J. Stat. Mech. Theory Exp. 2008(04), P04019 (2008)","journal-title":"J. Stat. Mech. Theory Exp."},{"key":"44_CR9","doi-asserted-by":"crossref","unstructured":"Gershenson, C.: Self-organizing traffic lights. Complex Syst. 16, 29\u201353 (2005)","DOI":"10.25088\/ComplexSystems.16.1.29"},{"key":"44_CR10","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.engappai.2014.01.007","volume":"29","author":"M Khamis","year":"2014","unstructured":"Khamis, M., Gomaa, W.: Adaptive multi-objective reinforcement learning with hybrid exploration for traffic signal control based on cooperative multi-agent framework. Eng. Appl. Artif. Intell. 29, 134\u2013151 (2014)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"44_CR11","doi-asserted-by":"crossref","unstructured":"Watkins, C.J., Dayan, P.: Q-learning. Mach. Learn. 8(3\u20134), 279\u2013292 (1992)","DOI":"10.1007\/BF00992698"},{"key":"44_CR12","unstructured":"Le, T., Kovacs, P., Walton, N., Vu, H.: Decentralized signal control for urban road networks. Transp. Res. Part C: Emerg. Technol. 58, 431\u2013450 (2015)"},{"key":"44_CR13","doi-asserted-by":"crossref","unstructured":"Chu, T., Qu, S., Wang, J.: Large-scale traffic grid signal control with regional reinforcement learning. In: 2016 American Control Conference (ACC), Boston, MA, USA, 6\u20138 July 2016","DOI":"10.1109\/ACC.2016.7525014"},{"key":"44_CR14","unstructured":"Qiao, J., Yang, N., Gao, J.: Two-stage fuzzy logic controller for signalized intersection. IEEE Trans. Syst. 41(1), 389\u2013403 (2011)"},{"key":"44_CR15","unstructured":"Gokulan, B.P., Srinivasan, D.: Distributed geometric fuzzy multiagent urban traffic signal control. IEEE Trans. Intell. Transp. Syst. 11(3), 517\u2013523 (2010)"},{"key":"44_CR16","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1186\/1687-1499-2014-57","volume":"2014","author":"S Fan","year":"2014","unstructured":"Fan, S., Tian, H., Sengul, C.: Self-optimization of coverage and capacity based on a fuzzy neural network with cooperative reinforcement learning. EURASIP J. Wirel. Commun. Netw. 2014, 57 (2014)","journal-title":"EURASIP J. Wirel. Commun. Netw."},{"issue":"2","key":"44_CR17","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/S0377-2217(00)00123-5","volume":"131","author":"E Bingham","year":"2001","unstructured":"Bingham, E.: Reinforcement learning in neuro fuzzy traffic signal control. Eur. J. Oper. Res. 131(2), 232\u2013241 (2001)","journal-title":"Eur. J. Oper. Res."},{"key":"44_CR18","doi-asserted-by":"crossref","unstructured":"Engelbrecht, A.P.: Fuzzy sets. In: Computational Intelligence An Introduction, 2nd edn., chap. 20, pp. 453\u2013463. Wiley, Chichester (2007)","DOI":"10.1002\/9780470512517.ch20"},{"key":"44_CR19","doi-asserted-by":"crossref","unstructured":"Szepesvri, C.: Algorithms for reinforcement learning. In: Synthesis Lectures on Artificial Intelligence and Machine Learning, vol. 4, no. 1, p. 1100 (2010)","DOI":"10.2200\/S00268ED1V01Y201005AIM009"},{"key":"44_CR20","unstructured":"Simulation of Urban MObility (SUMO) traffic simulator. http:\/\/sumo.sourceforge.net"}],"container-title":["Lecture Notes in Networks and Systems","Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-56994-9_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T23:34:27Z","timestamp":1750808067000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-56994-9_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,20]]},"ISBN":["9783319569932","9783319569949"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-56994-9_44","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2017,8,20]]}}}