Enhanced-GA supports traffic signal optimizations and protects the urban environment
Email:
hoctq@utc.edu.vn
Từ khóa:
Traffic control, single- multiple objective genetic algorithms, vehicle exhausted emission, traffic optimization
Tóm tắt
Much current research on traffic signal optimization often neglects the impact of environmental factors in urban areas. This can result in suboptimal solutions that do not consider the effects of traffic on air pollution and the overall urban environment. To address this issue, this article proposes a solution that combines Enhanced GA with a comprehensive framework for considering environmental factors in traffic signal optimization. By optimizing traffic signal timings and minimizing emissions, the proposed solution aims to reduce congestion and improve urban transportation networks' efficiency while protecting the environment. The proposed approach uses a set of optimization algorithms and assumptions to generate a comprehensive framework for traffic signal optimization. These algorithms and assumptions consider environmental factors such as air quality and the impact of traffic on the local ecosystem. Moreover, this article provided the enhanced genetic algorithm operators and suggested model formulation that could be applied in other research on traffic signal optimization directly to reduce calculation times and increase the efficiency of the novel suggested modelsTài liệu tham khảo
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[2]. P.W. Shaikh et al., A review on swarm intelligence and evolutionary algorithms for solving the traffic signal control problem, IEEE transactions on intelligent transportation systems, 23 (2020) 48-63. https://doi.org/10.1109/TITS.2020.3014296
[3]. X.Yang et al., An information fusion approach to intelligent traffic signal control using the joint methods of multiagent reinforcement learning and artificial intelligence of things, IEEE Transactions on Intelligent Transportation Systems, 23 (2021) 9335-9345. https://doi.org/10.1109/TITS.2021.3105426
[4]. L.T. Lin, P. Liu, D.T. Hai, Multiple objective genetic algorithms for solving traffic signal optimization issue at a complex intersection: a case study in Taichung City, Taiwan, The Open Civil Engineering Journal, 14 (2020). http://dx.doi.org/10.2174/1874149502014010126
[5]. Q.H. Tran, V.M. Do, T.H. Dinh, Traffic signal timing optimization for isolated urban intersections considering environmental problems and non-motorized vehicles by using constrained optimization solutions, Innovative Infrastructure Solutions, 7 (2022) 299. https://doi.org/10.1007/s41062-022-00895-9
[6]. D.T. Hai, D.V. Manh, N.M. Nhat, Genetic algorithm application for optimizing traffic signal timing reflecting vehicle emission intensity, Transport Problems, 17 (2022). http://dx.doi.org/10.20858/tp.2022.17.1.01
[7]. P. Reyad, T. Sayed, Real-Time multi-objective optimization of safety and mobility at signalized intersections, Transportmetrica B: Transport Dynamics, 11 (2023) 847-868. https://doi.org/10.1080/21680566.2022.2141911
[8]. W. Ma et al., Multi-objective optimization of traffic signals based on vehicle trajectory data at isolated intersections, Transportation research part C: emerging technologies, 120 (2020) 102821. https://doi.org/10.1016/j.trc.2020.102821
[9]. A.Y. Zakariya, S.I. Rabia, Estimating the minimum delay optimal cycle length based on a time-dependent delay formula, Alexandria Engineering Journal, 55 (2016) 2509-2514. https://doi.org/10.1016/j.aej.2016.07.029
[10]. K. Bai et al., Dynamic Crosswalk Signal Timing Optimization Model Considering Vehicle and Pedestrian Delays and Fuel Consumption Cost, Sustainability, 12 (2020) 689. https://doi.org/10.3390/su12020689
[11]. H. Liu et al., Evaluating impacts of intelligent transit priority on intersection energy and emissions, Transportation Research Part D: Transport and Environment, 86 (2020) 102416. https://doi.org/10.1016/j.trd.2020.102416
[12]. X. Li et al., Signal timing of intersections using integrated optimization of traffic quality, emissions and fuel consumption: a note, Transportation Research Part D: Transport and Environment, 9 (2004) 401-407. https://doi.org/10.1016/j.trd.2004.05.001
[13]. D. Yu et al., Signal Timing Optimization Based on Fuzzy Compromise Programming for Isolated Signalized Intersection, Mathematical Problems in Engineering, (2016) 1-12. https://doi.org/10.1155/2016/1682394
[14]. R. Qian et al., A Traffic Emission-saving Signal Timing Model for Urban Isolated Intersections, Procedia - Social and Behavioral Sciences, 96 (2013) 2404-2413. https://doi.org/10.1016/j.sbspro.2013.08.269
[15]. H. Jia et al., Multi-objective optimization of urban road intersection signal timing based on particle swarm optimization algorithm, Advances in Mechanical Engineering, (2019). https://doi.org/10.1177/1687814019842498
[16]. Y. Shen, An optimization model of signal timing plan and traffic emission at intersection based on Synchro, IOP Conference Series: Earth and Environmental Science, (2018). https://doi.org/10.1088/1755-1315/189/6/062002
[17]. N. Rouphail et al., Capacity analysis of pedestrian and bicycle facilities: Recommended procedures for the" pedestrians" chapter of the highway capacity manual. 1998.
[18]. F. Qiao et al., NSQGA-based optimization of traffic signal in isolated intersection with multiple objectives, in Innovative Techniques and Applications of Modelling, Identification and Control, (2018) 291-305. https://doi.org/10.1007/978-981-10-7212-3_18
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[20]. L.G. Zhang et al., PSO-based optimization for isolated intersections signal timings and simulation. in 2008 IEEE International Conference on Machine Learning and Cybernetics, (2008). https://doi.org/10.1109/ICMLC.2008.4620549
[21]. Z.P. Li, Schonfeld, Hybrid simulated annealing and genetic algorithm for optimizing arterial signal timings under oversaturated traffic conditions, Journal of advanced transportation, 49 (2015) 153-170. https://doi.org/10.1002/atr.1274
[22]. Roger P. Roess, Elena S. Prassas, William R. McShane, Traffic Engineering (3rd Edition), Pearson Education International (2004)
[23]. F. L. Mannering, S.S.Washburn., Principles of highway engineering and traffic analysis, John Wiley & Sons, Inc. (2013)
[24]. B. Park, C.J. Messer, T. Urbanik, Enhanced genetic algorithm for signal-timing optimization of oversaturated intersections, Transportation Research Record, 1727 (2000) 32-41. https://doi.org/10.3141/1727-05
[25]. X. Zhang et al., Intersection Signal Timing Optimization: A Multi-Objective Evolutionary Algorithm, Sustainability, 14 (2022) 1506. https://doi.org/10.3390/su14031506
[26]. H. Jia et al., Multi-objective optimization of urban road intersection signal timing based on particle swarm optimization algorithm, Advances in Mechanical Engineering, (2019). https://doi.org/10.1177/1687814019842498
[27]. H.A. Abdul Aziz, F. Zhu, S.V. Ukkusuri, Learning-based traffic signal control algorithms with neighborhood information sharing: An application for sustainable mobility, Journal of Intelligent Transportation Systems, 22 (2018) 40-52. https://doi.org/10.1080/15472450.2017.1387546
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07/06/2023
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28/10/2023
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27/12/2023
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15/05/2024
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Kiểu trích dẫn
Do Van, M., Tran Quang, H., Le Khanh, G., Tran Duc, C., & Vu Ngoc, P. (1715706000). Enhanced-GA supports traffic signal optimizations and protects the urban environment. Tạp Chí Khoa Học Giao Thông Vận Tải, 75(4), 1604-1616. https://doi.org/10.47869/tcsj.75.4.11
