http://iaeme.com/Home/journal/IJEET 1 editor@iaeme.com International Journal of Electrical Engineering and Technology (IJEET) Volume 11, Issue 6, August 2020, pp. 1-9, Article ID: IJEET_11_06_001 Available online at http://iaeme.com/Home/issue/IJEET?Volume=11&Issue=6 ISSN Print: 0976-6545 and ISSN Online: 0976-6553 DOI: 10.34218/IJEET.11.6.2020.001 © IAEME Scopus Publication Indexed REVIEW ON SMART TRAFFIC MANAGEMENT SYSTEM FOR AMBULANCE Deepika Sarpal Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India Yatharth Asthana Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India Dr Malaya Kumar Hota Professor, Department of Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology, Vellore, India ABSTRACT Rising traffic clog is an unpreventable condition in enormous and developing metropolitan zones all over India. An increased volume of vehicles not only increases the chances for them being involved in accidents. According to a report published in Times of India, 146,133 people were killed in road accidents in India in the year 2016. Unfortunately, about 30% of deaths are caused due to delayed ambulance. Another data shows that more than 50% of heart attack cases reach hospital late. Everybody detests traffic clog, and it continues deteriorating, despite endeavoured cures. In this manner, emergency vehicles stuck in a road turned parking lot and deferred in arriving at their goal can cause loss of property and significant lives. This paper provides the knowledge of all kind of techniques used till now to make traffic management system for emergency vehicle better and make it easier for people to reach on time to the hospital. Explain ways to get the best route while maintaining a cloud using IoT based system and various algorithms to various ways to detect ambulance using image processing and fuzzy logic. Key words: IoT, Embedded Systems, Machine Learning, Artificial Intelligence, Image Processing, Neural Networks. Cite this Article: Deepika Sarpal, Yatharth Asthana and Dr Malaya Kumar Hota, Review on Smart Traffic Management System for Ambulance. International Journal of Electrical Engineering and Technology, 11(6), 2020, pp. 1-9. http://iaeme.com/Home/issue/IJEET?Volume=11&Issue=6