Traffic sign recognition and detection is an important part of any autonomous vehicle. However the real challenge lies in the detection and recognition of these traffic sign from the natural image in real time and with accuracy. This paper gives an overview of the traffic road sign detection and recognition system, we developed and implemented using artificial neural network which are trained using real life datasets. This paper presents the usage of convolution neural network along with GTSRB dataset as an implementation of our project to attain real time result with accuracy. The system developed based on this methodology can be implemented in public transports, personal cars and other vehicles in order to keep drivers alert and reduce human errors that lead to accidents. The project has a wide implementation in self-driving vehicles.