Smart traffic lights with video vision based on a control minicomputer in Kazakhstani megacities-Reference-Cited by-同舟云学术

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Smart traffic lights with video vision based on a control minicomputer in Kazakhstani megacities

Published:2024 Issue: Volume:231 Page:792-797
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Belgibaev Baurzhan,Mansurova Madina,Abdrakhim Sanzhar,Ormanbekova Ainur

Funder

Ministry of Education and Science of the Republic of Kazakhstan

Publisher

Elsevier BV

Reference13 articles.

1. Investigating ‘anywhere working’ as a mechanism for alleviating traffic congestion in smart cities;Hopkins;Technol. Forecast. Soc. Change,2019

2. Raspberry Pi operating system, “Operating Systems Images,” [Online]. Available: https://www.raspberrypi.org/software/operating-systems/[Accessed: May 2020]

3. SCOOT – the future //12th IEE International Conference on Road Transport Information and Control;Bretherton,2020

4. Camera with identification numbers. URL: https://profbez.pro/blog/kamera-s-opredeleniem-nomerov-avto//accessed June 22, 2023.

5. USDOT, Federal Highway Administration (2022) Traffic Control Systems Handbook.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring the Top ChatGPT Libraries for Powerful Conversational AI;Advances in Library and Information Science;2024-05-17

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

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