This paper aims to simulate an autonomous car which is rewarded according to the actions it takes. The car learns from the actions it does and the rewards it receives for them. The project consists of an Artificial Intelligence system, i.e. an agent acts upon the environment in a virtually simulated environment. A simulator is designed which consists of multiple roads and their intersections. At each intersection, there is a traffic light. Random traffic is also generated on random roads. The agent, i.e. the car, responds to the environment (Traffic lights, Traffic). The agent is rewarded accordingly to whatever decision it makes. Using the results discussed in this paper, any vehicle will be able to cruise through traffic based on real-time environment. Furthermore, thanks to the multiple research papers, studies, and forum that helped us complete this.