Intelligent system for freeway ramp metering control

The number of techniques implemented in subsystems of the Intelligent System of infrastructure in transportation system in terms of agents for signal control, ramp metering, detecting incidents is numerous. Challenges, however, are still there for the researchers to optimize traffic operations. The aim of this paper is to prove the ability of artificial intelligence technique known as reinforcement learning implemented in intelligent system for freeway control. Intelligent agents are implemented as controllers in order to provide optimal performance on the freeway corridor via ramp metering control on a corridor. The algorithm used in the research was Q learning algorithm. The results are promising proving that the technique is capable for optimal control of entrance freeway ramps and suitable for building the intelligent system of the freeway.