The Signal Control Optimization of Road Intersections with Slow Traffic Based on Improved PSO

Zhao, Hongxia; Han, Guoyong; Niu, Xiaofei

doi:10.1007/s11036-019-01225-7

Cited by 14 publications

(11 citation statements)

References 2 publications

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“…Дуже поширеною в плануванні роботи СО стало застосування нечіткої логіки для налаштування їхньої роботи, наприклад у вигляді Q-навчання та нейронних мереж [2,3], які привели авторів до отримання позитивних результатів в конкретних випадках. Але нажаль автори досліджень не наводять переконливих аргументів щодо доцільності поширеного використання розроблених підходів у загальній практиці ОДР.…”

Section: вступunclassified

Justification of effective direction to develop control systems of traffic lights with fixed cycles

Шевченко¹

2023

JMET

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The study aims to determine priorities in the development of networks of fixed time traffic lights, the presence of which is feature of most Ukraine cities. A large number of studies on the problem of traffic light control in cities rely on the use of modern decision-making mechanisms based on the heuristics chosen by the authors or the processing of large data sets using artificial intelligence. The methods created as a result of such studies usually demonstrate some improvement in the performance of traffic control compared to its existing state or basic alternatives, but cannot claim generality and widespread application, and look more like another attempt to find an acceptable solution in the control of road traffic through the application of methods that have proven themselves well in other areas of knowledge. The main part of the work in the field of traffic light control is devoted to the issues of adaptive management of isolated traffic lights or their groups in cities and demonstrates limited effectiveness, which does not exceed the performances of the methods of traffic light coordination. At the same time, the combined application of the methods of coordinated and adapted traffic light management leads to significantly higher results, which can testify in favor of coordination as a priority direction for the development of isolated traffic light systems.The results of comparing the efficiency of isolated and coordinated fragments of the street-road network, where existing software tools for simple or adapted coordination were not used, as well as the results of manual adjustment of coordination plans, lead to the same preliminary conclusion. But for the final solution to the issue of the priority of adaptive or coordinated control directions in the development of isolated traffic light systems, it is necessary to create and implement a new method of coordination, which will allow convincing evidence in its favor as a more effective first step on the way from isolated traffic lights to a smart city.

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Section: вступunclassified

Justification of effective direction to develop control systems of traffic lights with fixed cycles

Шевченко¹

2023

JMET

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“…Due to conflict among different objectives of TST optimization, some of the research in the literature considered multi-objective models to optimize the TST problem. References [76][77][78] refer to the problem of TST optimization with multi-objective models. Optimization of traffic capacity was the common objective among the above-mentioned studies.…”

Section: Multi-objective Based Approachesmentioning

confidence: 99%

“…These weights could be different depending on the states of the traffic flow ratio. After assigning the weights, the multi-objective function was converted to a single objective which was solved through GA. Zhao et al [77] and Jia et al [78] used PSO with some improvement for their multi-objective TST models.…”

Section: Multi-objective Based Approachesmentioning

confidence: 99%

State-of-art review of traffic signal control methods: challenges and opportunities

Qadri

Gökçe

Öner

2020

Eur. Transp. Res. Rev.

107

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Introduction Due to the menacing increase in the number of vehicles on a daily basis, abating road congestion is becoming a key challenge these years. To cope-up with the prevailing traffic scenarios and to meet the ever-increasing demand for traffic, the urban transportation system needs effective solution methodologies. Changes made in the urban infrastructure will take years, sometimes may not even be feasible. For this reason, traffic signal timing (TST) optimization is one of the fastest and most economical ways to curtail congestion at the intersections and improve traffic flow in the urban network. Purpose Researchers have been working on using a variety of approaches along with the exploitation of technology to improve TST. This article is intended to analyze the recent literature published between January 2015 and January 2020 for the computational intelligence (CI) based simulation approaches and CI-based approaches for optimizing TST and Traffic Signal Control (TSC) systems, provide insights, research gaps and possible directions for future work for researchers interested in the field. Methods In analyzing the complex dynamic behavior of traffic streams, simulation tools have a prominent place. Nowadays, microsimulation tools are frequently used in TST related researches. For this reason, a critical review of some of the widely used microsimulation packages is provided in this paper. Conclusion Our review also shows that approximately 77% of the papers included, utilizes a microsimulation tool in some form. Therefore, it seems useful to include a review, categorization, and comparison of the most commonly used microsimulation tools for future work. We conclude by providing insights into the future of research in these areas.

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“…The best optimization strategy to address their consolidation challenges is by hosting them on the nearest available physical machine [32,33]. Interestingly, network topology and data center design has a major impact on the selection of placement for traffic optimization targets [34]. Similar dependencies often occur for VMs and storage resources with different user requirements.…”

Section: Related Workmentioning

confidence: 99%

Phantom: Towards Vendor-Agnostic Resource Consolidation in Cloud Environments

et al. 2019

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Mobile-oriented internet technologies such as mobile cloud computing are gaining wider popularity in the IT industry. These technologies are aimed at improving the user internet usage experience by employing state-of-the-art technologies or their combination. One of the most important parts of modern mobile-oriented future internet is cloud computing. Modern mobile devices use cloud computing technology to host, share and store data on the network. This helps mobile users to avail different internet services in a simple, cost-effective and easy way. In this paper, we shall discuss the issues in mobile cloud resource management followed by a vendor-agnostic resource consolidation approach named Phantom, to improve the resource allocation challenges in mobile cloud environments. The proposed scheme exploits software-defined networks (SDNs) to introduce vendor-agnostic concept and utilizes a graph-theoretic approach to achieve its objectives. Simulation results demonstrate the efficiency of our proposed approach in improving application service response time.

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The Signal Control Optimization of Road Intersections with Slow Traffic Based on Improved PSO

Cited by 14 publications

References 2 publications

Justification of effective direction to develop control systems of traffic lights with fixed cycles

Justification of effective direction to develop control systems of traffic lights with fixed cycles

State-of-art review of traffic signal control methods: challenges and opportunities

Phantom: Towards Vendor-Agnostic Resource Consolidation in Cloud Environments

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