The train energy model (TEM), a general train simulator developed at the Association of American Railroads, is widely used in the railroad industry. Recently, a new train controller, the general automatic train-controller (GAT), has been developed for TEM. In the GAT, the 'intelligence' or 'expertise' is a set of 'if-then' train-handling rules in an external file. The expert system for train control presented in this paper is a slightly simplified version of the GAT. The main thesis of this paper is: simple, unchained rules are adequate for complex train control. Thus, an 'inference engine' using forward chaining is not required.