Design and Development of Computational Intelligence for Enhanced Adaptive Cruise Control Using Arduino

In today’s fast paced world, transportation plays a very important role. Of all the different types of transportation available, cars are one of the most common and most preferred means of transportation for the majority of people. The classical Cruise control System maintains the pre-set speed and will also adapt itself to the change in acceleration of the preceding vehicle. But it is not sophisticated enough and reduces its speed to zero in case of critical conditions. In the proposed system, in addition to obstacle detection, a new feature is added which enables the vehicle to switchover to an empty lane when the preceding vehicle is too near or whenever there is a possibility of crash. This paper discusses about the implementation of the same. The main input to the system is the data collected by the ultrasonic sensors fixed to the four sides of the vehicle. The main processing unit analyses the data collected and sends out a control signal to the motor driver in accordance with the algorithm. H-Bridge in this system controls the speed and the direction of the vehicle by giving the appropriate control signal to the motor connected to the wheels. This paper deals with the design of the prototype model of the proposed system. The main control part of our system is realised by the Arduino microcontroller.