AIST-2024

About

Integration of artificial intelligence, big data and intelligent systems in transport is paving the way for fast, safe and comfortable transport. Smart technologies are revolutionizing transport and urban safety, enhancing life. As these technologies develop over time and the various fields of technology overlap, they create the environment of a single transport network that is adaptive to user needs as well as the environment. For instance, self-driving cars have potential in changing the way people move around and deliver goods, apart from correcting mistakes. On the other hand, big data analysis presents deep and extensive information on transportation networks and helps plan and manage routes and services more effectively at a real-time.

The International Conference on AI & Smart Transportation (AIST-2024) brings together leading professionals to discuss innovative trends in technology and transportation. This conference will act as a platform aimed at introducing novel approaches to analyzing data, employing machine learning, and implementing innovative systems for mobility that are currently changing the world. This conference will also feature issues and innovations within the large area of transport safety, efficiency, and sustainability during sessions and presentations. Participants will be privileged to come across new developments within the theme of smart transportation that are already being implemented worldwide.

Call For Papers

Important Dates
Opening Date

June 1st , 2024

Submission Deadline

Jul 15th , 2024

Notification

Aug 31st , 2024

Camera Ready

Sept 30th , 2024

Conference Date

Oct 25th-26th , 2024

Paper Publication

All papers, both invited and contributed, will be subjected to double blind review by at least 2 experts from the committees. After a careful reviewing process before the final decision and detailed presentation at the conference, all the accepted papers will be published in a proceedings, by a reputed publisher

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AIST-2024

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AIST-2024

Conference Chair Person