Talk · International Symposium on Sensing and Instrumentation in 5G and IoT Era · August 29, 2024
Multi-Level Intelligent Control System For Inter-Vehicle Communication Between Smart Traffic Lights With Computer Vision and Autonomous Electric Vehicles
Мадина Мансурова, Baurzhan Belgibaev, Sanzhar Abdrakhim, Didar Moldakhmetov, Zhanel Baigarayeva, Talshyn Sarsembayeva
Abstract
The article presents materials, methods, and results obtained from the modernization and improvement of the Abay/Saina transport interchange in the metropolis of Almaty to the level of an IoT (Internet of Things) transport object with AI (Artificial Intelligence). This approach is an important practical and relevant task within the framework of the Smart City Almaty concept. The developed hardware and software complex (HSC) allows transforming the existing hybrid analog-digital system for monitoring and telemetric control of traffic lights on Abay Avenue into a modern digital intelligent control system. The presented software and circuit design solutions allow creating a neuro-physical digital twin of the Abay/Saina interchange. The semi-industrial prototype of the mobile PC (Personal Computer) server and traffic light objects with streaming neural video vision have significant practical importance for the widespread implementation of electric taxis with autopilots into the transport infrastructure of the Republic of Kazakhstan.
More by Assiya Boltaboyeva
- Predicting Adverse ICU Outcomes from Admission-Time Frailty and Nocturnal Sleep Fragmentation Using Explainable AIJournal of Clinical Medicine · 2026
- Frailty-Driven Prediction of Inpatient Obstructive Sleep Apnea and Related Sleep Disorder Diagnoses Using Explainable AIBiomedicines · 2026
- Benchmarking Tabular Foundation Models and AutoML Systems in Cardiovascular Disease PredictionIEEE International Conference on Smart Information Systems and Technologies · 2026
- Causal AI Framework for Treatment Effect Estimation in Cardiovascular Disease Risk AnalysisIEEE International Conference on Smart Information Systems and Technologies · 2026
