Adaptive City Traffic Lights As Collective IoT Devices

Author:

Mansurova MadinaORCID,Belgibaev BaurzhanORCID,Zhamangarin DusmatORCID,Zholdas NurassylORCID

Publisher

Springer International Publishing

Reference22 articles.

1. Strategy of sustainable transport of Almaty for 2013–2023, http://www.almatyinvestkz. 2020/06/18. (in Russian)

2. Kuraksin, A.A.: Improvement of methods for assessing the effectiveness of traffic management based on the use of mesoscopic modeling of traffic flows. Thesis for the degree of candidate of technical sciences, p. 192, RATU, Ryazan (2020). (in Russian)

3. Akhmediyarova, A.T.: Mathematical modeling of transport systems of a metropolis using the theory of S-hypernetworks. Thesis for the degree of Doctor of Philosophy, p. 114 p. KazNITU, Almaty (2018) (in Russian).

4. Zaporozhtseva, O.V.: The beginning of the dynamic theory of traffic flow. Modern technologies in mechanical engineering and transport: scientific journal, Lutsk National Technical University; [edited by: Pustylga S.I. (chief editor) and others]. 2(11), 63–67. Lutsk (2018). (in Ukrainian)

5. Bratsas, C., Koupidis, K., Salanova, J.M., Giannakopoulos, K., Kaloudis, A.: A comparison of machine learning methods for the prediction of traffic speed in urban places. Sustainability 12(1), 142 (2020)

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1. Smart traffic lights with video vision based on a control minicomputer in Kazakhstani megacities;Procedia Computer Science;2024

2. M2M Interface for IoT Traffic Light with Computer Vision and AnyLogic PLE;Communications in Computer and Information Science;2024

3. Detection of Abnormal Traffic Flow with the Hurst Parameter for Traffic Management;2023 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED);2023-11-15

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