Статья

Intelligent Traffic Management System: AI-Enabled IoT Traffic Lights to Mitigate Accidents and Minimize Environmental Pollution

Sirojiddin UsmonovNew Uzbekistan University,Software Engineering,Tashkent,UzbekistanAneesh PradeepNew Uzbekistan University,Software Engineering,Tashkent,UzbekistanZukhriddin FakhriddinovNew Uzbekistan University,Software Engineering,Tashkent,UzbekistanTotliboyev SanjarNew Uzbekistan University,Software Engineering,Tashkent,UzbekistanAbdugofurov AbdurakhimNew Uzbekistan University,Mechanical Engineering,Tashkent,UzbekistanMukaddas KhusniddinovaNew Uzbekistan University,Software Engineering,Tashkent,Uzbekistan

2023en

ABI

Аннотация

Reducing traffic and pollution is crucial for the well-being of both people and the planet. These issues mainly affect developing nations due to rapid urbanization and limited infrastructure. This paper emphasizes the development of smart traffic management systems that monitor and control traffic flow, lessen congestion, and shorten travel times using IoT and LoRa. Lowering the number of vehicles on the road can lower fuel use and emissions. IoT can also gather real-time data on air quality, which can help pollution reduction efforts and inform air quality policies.

Темы

Air Quality Monitoring and Forecasting Traffic Prediction and Management Techniques Smart Parking Systems Research

Идентификаторы

DOI: 10.1109/conit59222.2023.10205868

Цитирования и источники

Цитирований: 0Использованных источников: 18

Показатели — AkademScholar · Скоро