Research

Computer Sciences and Information Technology

Title :

Development of real-time traffic control algorithms for unconventional intersection designs using artificial intelligence methods

Area of research :

Computer Sciences and Information Technology

Focus area :

Artificial Intelligence, Digital Technologies

Principal Investigator :

Dr. Ketan Kotecha, Symbiosis Institute of Technology, Pune, Maharashtra (412115)

Contact info :

Details

Executive Summary :

This project aims to develop artificial intelligence-based algorithms for real-time traffic control in urban areas, particularly unconventional intersection designs like Median U-turn and Displaced Left Turn intersections. The goal is to develop algorithms for automated guided vehicles and test them with alternative geometrical structures like Diverging Diamond Interchange. The project's main contribution is the use of AI in guided vehicles, which has proven useful in various fields. The project's main outcomes include analyzing problems not yet solved, developing new models and techniques, understanding traffic control in cities, and suggesting potential locations for unconventional intersection designs in India and Serbia. The project also aims to reduce environmental impacts of transport. The authors are collaborating on traffic engineering problems using artificial intelligence. They aim to exchange knowledge and experiences in traffic engineering, focusing on pollution and different methods used in Serbia and India. The project, financed by the Serbian Ministry of Science and Technological Development, involves researchers from Serbia and India.

Co-PI:

Dr. Likhesh Kolhe, Terna Engineering College, Mumbai, Maharashtra (400706), Dr. Rahee Amit Walambe, Symbiosis Institute of Technology, Pune, Maharashtra (412115), Dr. Vaishali Khairnar, Terna Engineering College, Mumbai, Maharashtra (400706)

Total Budget (INR):

12,15,000

Organizations involved