Bandar Lampung, 3-4 September 2021 Page 77 | Design and Development of Intelligent Traffic Control System Rahul Vaghela 1 , Dr Kamini Solanki 2, Dr Priya Swaminarayan 3 ravaghela83@gmail.com 1 , kamini.solanki@paruluniversity.ac.in 2 , priya.swaminarayan@paruluniversity.ac.in 3 Parul University 1,2,3, Abstract. Almost all part of Gujarat where signals are situated. The observations mainly done in the various urban areas of Ahmedabad and Baroda. It seems, there is sufficient infrastructure but lack of identical way of handling traffics that result in many critical issues. The existing traffics signaling system follows fix timings in traffic signals and because of that sometime without traffic there may be long waiting time, however on other side, there may be short duration when long vehicle queues are present that will create long congestion chains in peak hours. It has observed that the people are facing many issues due to such fix timing of signal plan implemented at traffic signals without having input from existing traffic density. The main issues to be considered are that the people feel that their time is not respected which could result in disobey of traffic rules, ineffective way of handling traffic turn out be a big traffic congestion, It also create situations which require more police persons to defend and control such scenarios as it is consequences of ineffective or less prediction or rather no prediction for the timings of traffic lights. It has observed around 4, 80,652 road accidents in the year of 2016 and 4, 64,910 in 2017 in India. At the same time, the personal died in road crashes is 1, 47,913 in 2017 and 1, 50,785 in the year of 2016 in India. It is indeed to have system that will understand the traffic that our country possess and do traffic classifications. In this paper, the classifications are used to generate intelligent system that will experimentally adjust traffic timings based on kind of heterogeneity exist in the traffic. It is also to experimentally tuning the perfect traffic timing plan which precisely fit and getting accuracy level of more than 90% to the traffic scenario and also help to solve problematic situation. Key Words: Image capturing, Image Segmentation, Convolutional Neural Network, Fuzzy rules, Membership Function, Fuzzy Control System.