[1] Rustem, S., Regina, N., “Traffic safety system management”, Transportat. Res. Procedia. 36, 676–681 (2018)
[2] Mohan, D., “Traffic safety: Rights and obligations”, Accidents Analysis and Prevent. 128, 159–163 (2019)
[3] Li, Z.H., Cao, Q., Zhao, Y.H., Tao, P.F., Zhou, R., “Krill herd algorithm for signal optimization of cooperative control with traffic supply and demand”, IEEE Access. 7, 10776–10786 (2019)
[4] Dotoli, M., Fanti, M.P., Meloni, C., "A signal timing plan formulation for urban traffic control", Control. Eng. Pract. 42(3), 1297–1311 (2016)
[5] Akcelik, R., “Traffic signals: capacity and timing analysis”, Transportat. Res. 5(6), 505–505 (2011)
[6] Webster, F.V., “Traffic signal settings”, Technical Report. HM, Stationery Office (2018)
[7] Pappis, C.P., Mamdani, E.H., “A fuzzy logic controller for a traffic junction”, IEEE. Transact. Syst. Man. Cybernet. 7(10), 707–717 (2017)
[8] Chen, H., Chen, S.F., “A method for real-time traffic fuzzy control of a single intersection”, Informat. Control. 36(3), 227–233 (2017)
[9] Nakatsuyama, M., Nagahashi, H., Nishizuka, N., “Fuzzy logic phase controller for traffic junctions in the one-way arterial road”, In IFAC proceedings series. 2865C2870 (2015)
[10] Chiu, S., Chand, S., “Self-organizing traffic control via fuzzy logic”, In: Proceedings of the 32nd IEEE conference on decision and control. 2, 1897C1902 (2013)
[11] Zhang, W.B., Wu, B.Z., Liu, W.J., “Anti-congestion fuzzy algorithm for traffic control of a class of traffic networks”, In IEEE international conference on granular computing. 124 (2007)
[12] Rahman, S.M., Ratrout, N.T., “Review of the fuzzy logic-based approach in traffic signal control: prospects in Saudi Arabia”, J. Transportat. Syst. Eng. In format. Technol. 9, 5870 (2009)
[13] Odeh, S.M., Mora, A.M., Moreno, M.N., Merelo, J.J., “A hybrid fuzzy genetic algorithm for an adaptive traffic signal system”, Adv. Fuzzy. Syst., (2015).
[14] Sun, W., Wu, Y.Q., Sun, ZY, “Command filter-based finite-time adaptive fuzzy control for uncertain nonlinear systems with prescribed performance”, IEEE. Transact. Fuzzy. Syst. 10(1109), 2967295 (2020)
[15] Sun, W., Su, S.F., Wu, Y.Q., Xia, J.W., “A novel adaptive fuzzy control for output constrained stochastic non-strict feedback nonlinear systems”, IEEE. Transact. Fuzzy. Syst. 10(1109), 2969909 (2020).
[16] Khooban, M.H., Vafamand, N., Liaghat, A., Dragicevic, T., “An optimal general type-2 fuzzy controller for Urban Traffic Network”, ISA. Transact. 66, 335–343 (2017).
[17] Bi, Y.R., Lu, X.B., Sun, Z., Srinivasan, D., Sun, ZX, “Optimal type-2 fuzzy system for arterial traffic signal control”, IEEE. Transact. Intell. Transportat. Syst. 19(9), 3009–3027 (2018)
[18] Li, R.M., Jiang, C.Y., Zhu, F.H., Chen, X.L., “Traffic flow data forecasting based on interval type-2 fuzzy sets theory”, IEEE/CAA J. Autom. Sinica. 3(2), 141–148 (2016)
[19] Cao, X.L., Mo, H., Zhu, F.H., “Fuzzy control of timing for traffic lights based on the time-varying universe”, Measure. Control. Technol. 38(11), 115–120 (2019).
[20] Mo, H., Hao, X.X., Zheng, H.B., Liu, Z.Z., Wen, D., “Linguistic dynamic analysis of traffic flow based on social media case study”, IEEE Transact. Intell. Transport. Syst. 17(9), 2668–2676 (2016).
[21] Henrique, D., Norian, M., Furio, D., “Genetic algorithm-based traffic lights timing optimization and routes definition using Petri net model of urban traffic flow”, IFAC. Proceed. Vol. 47(3), 11326–11331 (2014).
[22] Talab, H.S., Mohammadkhani, H., Haddadnia, J., “Controlling multi variable traffic light timing in an isolated intersection using a novel fuzzy algorithm”, Journal of Intelligent Fuzzy Systems 25(1), 103–116 (2013).
[23] Maythem, K.A., Mohd, N.K., Madzlan, N., Brahim, BS, Marwan, A., “High accuracy traffic light controller for increasing the given green time utilization”, Comput. Electri. Eng. 41, 40–51 (2015).
[24] Shahhoseini, H. S., Saleh Kandzi, E., Mollajafari, M. “Nonflat surface level pyramid: a high connectivity multidimensional interconnection network,” The Journal of Supercomputing, 67(1), 31-46, (2014).
[25] Araghi, S., Khosravi, A., Creighton, D., “A review on computational intelligence methods for controlling traffic signal timing”, Exp. Syst. Appl. 42(3), 1538–1550 (2015).
[26] Cang Zhou, “Fuzzy Control under Time-Varying Universe and Phase Optimization in Traffic Lights (ICSSE 2020)”, Int. J. Fuzzy Syst. (2021).
[26] Mollajafari, M., Shojaeefard, M. H. “TC3PoP: a time-cost compromised workflow scheduling heuristic customized for cloud environments,” Cluster Computing, 24(3), 2639-2656, (2021).
[27] Mollajafari, M., Shahhoseini, H.S. “A repair-less genetic algorithm for scheduling tasks onto dynamically reconfigurable hardware.” International Review on Computers and Software 6.2, 206-212, (2011).
[28] Shojaeefard, M., Mollajafari, M., Mousavitabar, S., Khordehbinan, M., Hosseinalibeiki, H., "A TSP-based nested clustering approach to solve multi-depot heterogeneous fleet routing problem," Rev. int. métodos numér. cálc. diseño ing, 38 (1), pp. 1-14, (2022).
[29] Jafari, S., Shahbazi, Z., & Byun, Y. C. “Improving the Performance of Single-Intersection Urban Traffic Networks Based on a Model Predictive Controller,” Sustainability, 13(10), 5630, (2021).
[30] Jafari, S., Shahbazi, Z., & Byun, Y. C.. “Traffic Control Prediction Design Based on Fuzzy Logic and Lyapunov Approaches to Improve the Performance of Road Intersection. Processes," 9(12), 2205, (2021).
[31] Shepelev, V. D., Glushkov, A. I., Makarova, I. V., & Boyko, A. “Clustering Urban Transport Network Junctions Using Convolutional Neural Networks and Fuzzy Logic Methods,” Transportation Research Procedia, 62, 581-588, (2022).