SiliconTech, the engineering institute of Silicon University organized a talk on ‘AI for Mobility: Building Smart Cities’ on 9 November 2024.
The objective of the session was to provide participants with a comprehensive understanding of AI’s role in urban mobility, highlighting its potential to transform transportation systems. It aimed to explore the concept of smart transportation systems, focusing on how they can enhance sustainability and reduce environmental impact. Participants learned how AI contributes to improving safety and reducing accidents on the roads, as well as the importance of data-driven decision-making in effective urban planning.
The esteemed speaker of the event was Mr. Ankit R Patel, a researcher at the University of Minho, Portugal. He delivered an insightful talk on the pivotal role of AI in urban mobility, emphasizing how it is revolutionizing transportation systems. The session delved into the impact of smart transportation technologies, such as autonomous vehicles, traffic management systems, and connected infrastructure, showcasing their ability to improve efficiency and reduce congestion in urban areas. The speaker also highlighted how AI-driven innovations can enhance sustainability by optimizing energy consumption and reducing carbon emissions, thus contributing to greener cities. A key focus of the session was on how AI can significantly improve safety by analyzing traffic patterns, predicting potential hazards, and reducing accidents. Furthermore, the session explored the importance of data-driven decision-making in urban planning, demonstrating how AI can harness vast amounts of data to optimize routes, manage traffic flow, and plan for future urban development in a more informed and efficient manner.
The talk was a resounding success, providing valuable insights into the transformative role of AI in urban mobility and smart transportation. A total of sixty students and faculty members participated in the event to better understand how AI can enhance sustainability, safety, and urban planning.