Control of autonomous cars for intelligent transportation system

This work concentrates on establishing a technology to develop a unique approach for the integration of intelligent system control into transportation systems. We have implemented an algorithm [1] that controls a car to track a predefined track which integrates a human driver with computer control to increase human performance while reducing reliance on detailed driver attention. Knowledge obtained from the optical tracking system about vehicle position and orientation provides the automatic decision making intelligence needed to follow a virtual vehicle moving on track. The result shows good performance of this model independent algorithm with fairly cheap RC cars.