ARTIFICIAL INTELLIGENCE (AI) - DRIVEN INTELLIGENT TRANSPORTATION SYSTEMS FOR SUSTAINABLE TRAFFIC MANAGEMENT IN INDIAN SMART CITIES
Keywords:
Artificial Intelligence, Adaptive Traffic Signals, Computer Vision, Intelligent Transportation Systems, Smart Cities, Sustainable Traffic Management, Traffic Congestion, Road Safety.,,Abstract
India’s rapidly growing urban population and the number of vehicles have led to severe traffic congestions,
road accidents, fuel wastage, and environmental pollution in the country. Conventional methods of traffic
management, such as static traffic signals and monitoring, are no longer efficient enough to handle the
dynamic nature of traffic flow. Artificial Intelligence (AI) has been recognized as a revolutionary technology
that has the potential to improve the efficiency of traffic flow through the use of intelligent decision-making,
prediction, and monitoring systems [1], [8].
The objective of this research paper is to study the use of AI in sustainable traffic management in the country.
The study aims to assess the potential of AI-based systems, such as machine learning, computer vision, and
ITS, to improve the efficiency of traffic flow, reduce the number of road accidents, and mitigate environmental
pollution [9], [23]. The study has been conducted to assess the effectiveness of AI-based systems implemented
in the country.
The study concludes that AI-based traffic management systems have the potential to contribute to sustainable
traffic management by reducing traffic congestions, fuel consumption, and environmental pollution [18], [22].
