Application of Artificial Intelligence in Intelligent Transportation Systems of Indian Smart Cities

Abstract

India’s rapid urbanization, with an urban population projected to reach 600 million by 2031, has intensified challenges such as traffic congestion, road safety concerns, and environmental degradation in cities like Delhi, Mumbai, and Bengaluru. The Smart Cities Mission, launched in 2015, seeks to address these issues through technology-driven solutions, with intelligent transportation systems (ITS) playing a pivotal role. Artificial intelligence (AI), encompassing machine learning, computer vision, and internet of things (IoT) integration, is transforming ITS by enabling real-time traffic management, public transportation optimization, road safety enhancements, and sustainable mobility solutions. This paper explores AI applications in Indian smart cities, analyzing their implementation, impact, and challenges through case studies and data-driven insights. Three tables present current data on AI-driven ITS deployments, performance metrics, and environmental outcomes. Key findings highlight reductions in traffic delays (up to 20%), increased public transport ridership (8–15%), and lowered emissions (8–12%). Challenges include infrastructure limitations, data quality issues, and policy gaps. The study proposes strategies for scalable, equitable ITS solutions, positioning India as a global leader in AI-driven urban mobility.