PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

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• Al-Kandari, A., Al-Shaikhli, I., & Najaa, A. (2013). Comparative study between traffic control methods using simulation software. International Journal of Machine Learning and Computing, 3(5), 424-429. https://doi.org/10.7763/ijmlc.2013.v3.353

• Basri, N. S. H., Mohamed, N. A., Adnan, M. A., Mohamed, N. F., & Zainuddin, N. H. (2020). Instantaneous speed ratio of traffic flowing through a merging area at kilometer 31.6 on the highway from Shah Alam to Kuala Lumpur. Pertanika Journal of Science & Technology, 28(2), 565-578.

• Cantarella, G. E., Luca, S. D., Pace, R. D., & Memoli, S. (2015). Network signal setting design: Meta-heuristic optimisation methods. Transportation Research Part C, 55, 24-45. https://doi.org/10.1016/j.trc.2015.03.032

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• Davydov, I., Tolstykh, D., Kononova, P., & Legkih, I. (2019). Genetic based approach for novosibirsk traffic light scheduling. In 2019 15th International Asian School-Seminar Optimization Problems of Complex Systems (OPCS) (pp. 31-36). IEEE Conference Publication. https://doi.org/10.1109/opcs.2019.8880158

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• Doostali, S., Babamir, S. M., Dezfoli, M. S., & Neysiani, B. S. (2020). IoT-based model in smart urban traffic control: Graph theory and genetic algorithm. In 2020 11th International Conference on Information and Knowledge Technology (IKT) (pp. 119-121). IEEE Conference Publication. https://doi.org/10.1109/IKT51791.2020.9345623.

• Gao, K., Wu, N., & Wang, R. (2019). Meta-heuristic and MILP for solving urban traffic signal control. In 2019 International Conference on Industrial Engineering and Systems Management (IESM) (pp. 1-5). IEEE Conference Publication. https://doi.org/10.1109/iesm45758.2019.8948068.

• Grandinetti, P., Garin, F., & Canudas-de-Wit, C. (2015). Towards scalable optimal traffic control. In 2015 54th IEEE Conference on Decision and Control (CDC) (pp. 2175-2180). IEEE Conference Publication. https://doi.org/10.1109/cdc.2015.7402529

• Hajbabaie, A., Medina, J. C., & Benekohal, R. F. (2011). Traffic signal coordination and queue management in oversaturated intersections (No. 047IY02). NEXTRANS Center (US).

• Hajiahmadi, M., Haddad, J., De Schutter, B., & Geroliminis, N. (2015) Optimal hybrid perimeter and switching plans control for urban traffic networks. IEEE Transactions on Control Systems Technology, 23(2), 464-478. https://doi.org/10.1109/tcst.2014.2330997

• Lammer, S., & Helbing, D. (2008). Self-control of traffic lights and vehicle flows in urban road networks. Journal of Statistical Mechanics: Theory and Experiment, P04019, 1-34. https://doi.org/10.1088/1742-5468/2008/04/p04019

• Le, T., Kova´cs, P., & Walton, N. (2015). Decentralized signal control for urban road networks. Transportation Research Part C: Emerging Technologies, 58, 431-450. https://doi.org/10.1016/j.trc.2014.11.009

• Li, Y., Canepa, E., & Claudel, C. (2014). Optimal traffic control in highway transportation networks using linear programming. In 2014 European Control Conference (ECC) (pp. 2880-2887). IEEE Conference Publication. https://doi.org/10.1109/ecc.2014.6862338

• Li, X., & Sun, J. (2018). Signal multiobjective optimization for urban traffic network. IEEE Transactions on Intelligent Transportation Systems, 19(11), 3529-3537. https://doi.org/10.1109/tits.2017.2787103

• Ng, K. M. Reaz, M. B. I., & Ali, M. A. M. (2019). Model-based control strategy for oversaturated traffic regimes based on the LWR-IM traffic model. IET Intelligent Transportation System, 13(5), 896-904. https://doi.org/10.1049/iet-its.2018.5381

• Ng, K. M., Reaz, M. B. I., Ali, M. A. M., & Chang, T. G. (2013). A brief survey on advances of control and intelligent systems methods for traffic-responsive control of urban networks. Tehnički vjesnik, 20(3), 555-562.

• Ng, K. M., & Reaz, M. B. I. (2015). An integrated approach for platoon-based simulation and its feasibility assessment. PLoS ONE, 10(3), 1-25. https://doi.org/10.1371/journal.pone.0114406

• Ng, K. M., & Reaz, M. B. I. (2016). Platoon interactions and real-world traffic simulation and validation based on the LWR-IM. PLoS ONE, 11(1), 1-17. https://doi.org/10.1371/journal.pone.0144798

• Ng, K. M., & Reaz, M. I. (2017). Development and validation of the LWR-IM traffic simulator. In 2017 7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) (pp. 40-44). IEEE Conference Publication. https://doi.org/10.1109/iccsce.2017.8284376

• Ng, K. M., Reaz, M. B. I., & Rahiman, M. H. F. (2018). UTNSim: A new traffic simulator based on the LWR-IM mesoscopic traffic model. Journal of Engineering Science and Technology, 13(3), 589-608.

• Saha, P., Sarkar, A. K., & Pal, M. (2015). Evaluation of performance measures of two-lane highways under heterogeneous traffic. Pertanika Journal of Science & Technology, 23(2), 223-239.

• Schutter, B. D., Hellendoorn, H., Hegyi, A., Van den Berg, M., & Zegeye, S. K. (2010). Model-based control of intelligent traffic networks. Intelligent Systems, Control and Automation: Science and Engineering, 40(1), 277-310.

• Shaikh, P. W., El-Abd, M., Khanafer, M., & Gao, K. (2020). A review on swarm intelligence and evolutionary algorithms for solving the traffic signal control problem. In IEEE Transactions on Intelligent Transportation Systems (pp. 1-16). IEEE Conference Publication. https://doi.org/10.1109/TITS.2020.3014296.

• Stevanovic, A., Dakic, I., & Zlatkovic, M. (2017). Comparison of adaptive traffic control benefits for recurring and non-recurring traffic conditions.  IET Intelligent Transport Systems, 11(3), 142-151. https://doi.org/10.1049/iet-its.2016.0032

• Tan, M. K., Chuo, H. S. E., Yeo, K. B., Chin, R. K. Y., Huang, S., & Teo, K. T. K. (2019). Decentralized traffic signal control for grid traffic network using genetic algorithm. In 2019 IEEE 6th International Conference on Engineering Technologies and Applied Sciences (ICETAS) (pp. 1-6). IEEE Conference Publication. https://doi.org/10.1109/icetas48360.2019.9117490

• Tan, M. K., Chuo, H. S. E., Chin, R. K. Y., Yeo, K. B., & Teo, K. T. K. (2017). Optimization of traffic network signal timing using decentralized genetic algorithm. In 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS) (pp. 62-67). IEEE Conference Publication. https://doi.org/10.1109/i2cacis.2017.8239034

• Toivio, T., Kosonen, I., & Roncoli, C. (2020). A multilayer optimisation framework for policy-based traffic signal control. In 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS) (pp. 347-352). IEEE Conference Publication. https://doi.org/10.1109/FISTS46898.2020.9264870.

• Wey, W. M. (2000). Model formulation and solution algorithm of traffic signal control in an urban network. Computers, Environment and Urban Systems, 24, 355-377.

• Zhang, Y., Su, R., & Gao, K. (2015). Urban road traffic light real-time scheduling. In 2015 54th IEEE conference on decision and control (CDC) (pp. 2810-2815). IEEE Conference Publication. https://doi.org/10.1109/cdc.2015.7402642

• Zhou, Z., Lin, S., & Xi, Y. (2016). A hierarchical urban network control with integration of demand balance and traffic signal coordination. IFAC-PapersOnLine, 49(3), 31-36. https://doi.org/10.1061/41177(415)122