Decision Making Strategies for Intelligent Control system of Train Speed & Train Dispatch in Iran Railway

As railway transportation is a monoblock system, smallest changes in a train movement cause many changes at timing program. Compensation of deviation from scheduling program in earliest time will cause optimal utilization from locomotive, wagon and line. Scheduling table contains information about arrival and dispatching and duration of stop time of each train in every station. It is assumed that scheduling table is accessible and goal is to propose program that has more adaptation with scheduling table of train movement at any moment. Laws like maximum permissible speed of line or maximum permissible speed of train and amount of existence noise, produce limitation in proposed control strategy. Two fuzzy systems are proposed for designing this system. 1) Fuzzy controller about speed of train that proposes specific speed at any moment. This system causes uniformity control on train movement and efforts for compensating changes from scheduling table as soon as it possible. This controller can act as an automatic train driver for conducting transporter. 2) Fuzzy controller about controlling of dispatching trains that if fuzzy controller about speed of train could not compensate delay of train until arrive to next station, centralize fuzzy controller in station decides for dispatching. This system proposes program has more adaptability with scheduling table of train movement. It must decide which train will have the preference to occupy the distance between stations and which must stop at a siding. This centralize fuzzy controller could be replaced instead of manpower.