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Name - Bharat Pahadiya (21ENG7CSE0001)

Branch - Computer Science & Engineering

Faculty - Faculty of Engineering & Technology

Date of Registration - 15th November 2021

Supervisor - Dr. Rekha Ranawat, Associate Professor.

Date of Ph.D. Viva - 28th January 2025 (Tuesday)

Title - A Smart Traffic Operation System for Traffic Control Using Internet of effects & Reinforcement Learning


1. Bharat Pahadiya and Dr. Rekha Ranawat, “A Review of Smart Traffic Operation System for Traffic Control Using Internet of effects & Reinforcement Learning”, 3rd IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2023. (Scopus Indexed IEEE ICTBIG-2023: 979-8-3503-4327-4/23/$31.00 ©2023 IEEE) 

 

2. Bharat Pahadiya and Dr. Rekha Ranawat, “Analysing the Smart Loaded Traffic Square System for Emergency Vehicles via the Use of a Deep Learning Model”, International Journal of Intelligent Systems and Applications in Engineering, IJISAE, 2024, 12(19s), 210–232.Feb 2024.(Scopus Indexed Journal ISSN:2147-6799) 

 

3. Bharat Pahadiya and Dr. Rekha Ranawat, “Optimizing Emergency Vehicle Navigation in Smart Traffic Grids Using Reinforcement Learning and Precision Traffic Sensing”, Journal of Computational Analysis and Applications, VOL. 33, NO. 7, 2024.(Scopus Indexed Journal ISSN:1572- 9206 ) 

 

4. Bharat Pahadiya and Dr. Rekha Ranawat, “Enhancing Emergency Vehicle Navigation in Smart Traffic Squares with Reinforcement Learning and Accurate Traffic Sense Recommendations” under review after revisions in International Journal of Intelligent Transportation Systems Research. Springer Q2 journal. 



Click on the link for the uploaded Ph.D. Thesis - http://hdl.handle.net/10603/621614