Artifical intelligence integrated simulation environments and design of an intelligent simulation environment for the analysis of the traffic lights in an intersection

There is a strong methodological similarity between simulation and artificial intelligence techniques. In fact, the study done in both techniques is to build a computer based model that is aimed to make a decision. Simulation technique is sucessfully utilized in solving a numerous number of problems. Techniques of artificial intelligence and expert systems are also used in all activities that are required for making a simulation study. Therefore, a simulation study is performed in a shorter time. Meanwhile, it is allowed to make a simulation study for the users having no simulation techniques backgrounds. In this thesis, the works performed to connect artificial intelligence and simulation techniques are examined and a simulation system integrated with artificial intelligence is proposed, using techniques mentioned above to optimize the simulation of traffic lights on the crossroads having different structures. Then a prototype model is built. PASCAL 7.0 is used as a programming language. The system developed will acquire all data from the user via a dialog interface and then will give a solution to the user's problem. The system will automatically generate various scenarios and it will attempt to get the optimum solution by analyzing and comparing these scenarios. xu