Research On Dual Heuristic Programming Of Train Operation Regulation

Automatic train control system is the core of the urban rail transit system. Communication based train control (CBTC) system can realize moving block, narrow tracking interval greatly, improve the operation efficiency. But in actual operation process, influenced by passengers and other interference factors, the delay phenomenon appear, reduce the operation efficiency, cause inconveniences to the train dispatching. To this end, for a long time, there are many scholars both at home and abroad have adopted various methods to solve the problem of train delays. But with the development of automatic train control technology, the research for train operation adjustment problems of CBTC system is very meaningful.Paper first introduces train operation control system according with the characteristics of urban rail transit, describes the composition and function of train automatic supervision system, which can realize the train operation adjustment, and elaborates the train diagram to reflect the effect of the train operation adjustment, and then focuses on analyzing the train delay situations, the adjust strategy and the adjust process. Then through analyzing the data source of the train adjustment to build train operation adjustment model, and the objective function and constraint conditions were determined. Due to the dual heuristic dynamic programming algorithm is suitable for processing optimal control problem of train operation adjustment complex dynamic systems, which has many characteristics, such as real-time, binding, nonlinearity, randomness, this paper details the computation procedure of using dual heuristic dynamic programming algorithm to deal with the train operation adjustment problem.Paper is set in one operation line of Shanghai subway, through programming on Visual Studio2010software platform to build train operation adjustment model, simulating the train operation process, through the man-machine interface entering the train delay information, the delay is divided into three situations:A single train delay, related delay and serious delay depending on the delay time. Through simulation, the train operation adjustment model can be adjusted to eliminate delays, restore the train plans to schedule time. Finally, analyzing the three kinds of simulation results, including the contrast of train diagram, schedules, and delay curve. Then it proves that the dual heuristic dynamic programming algorithm is suitable for processing the train operation adjustment problems.