The purpose of research is to develop new mathematical models and new algorithms for intelligent devices to control in electric transport system taking in account dynamic parameter of city transport system. Models and algorithms are proposed for multi-criteria optimization. Main goal of research is energy saving for public electric transport. Mathematical model and scheduling theory algorithm is developed and proposed in the paper to solve multi-criteria optimization task minimizing idle time and electric energy used by public electric transport and maximize average speed of the flow in traffic jam. Mathematical model of public electric transport system has a set of dynamic parameters. All these variables are changing continuously. That is why scheduling theory algorithm is necessary to adopt optimal solution to current input dynamic parameters. Scheduling theory algorithm with dynamic input parameters can be very useful to create schedule for traffic lights according to transport flows and public electric transport schedule to avoid idle time, directive term infringements and to provide faster service to passengers. Paper presents a practical example to test proposed mathematical model and workability of developed algorithm.