Future framework for Maglev train traffic control system utilizing autonomous decentralized architecture

A future framework for the traffic control system of an ultra high speed and huge transportation capacity Maglev (magnetically levitated) linear motor line is presented. This Maglev system must have the ability to recover from disrupted traffic scheduling situations and to provide electrical energy savings. The proposed system consists of the CSS (Central Commander Support System), RPCCs (Regional Power Control Centers), TPCSs (Traffic and Power Control Substations) on the wayside, TSS (Train Supervisor Support System) on board, and IFN (Information Field Network) joining all the facilities. The delay recovery control function has three layers. The top is a strategic rescheduling layer. The CSS helps to plan recovering strategy. The middle layer is a headway minimizing layer including the TPCSs which direct the Maglev train toward a 3D target so as to minimize the train headway. The bottom layer is a temporal speed control layer. The energy saving function has a two layered structure. The top is a total load control layer coordinating the powering/braking schedule of each train and the bottom is the same as in the traffic control function. The proposed architecture is expected to present quite controllable circumstances to the central commander, and also to realize the desirable overall power dissipation characteristic