Placing-In and Taking-Out Method for Working Wagons Under the Random Environment

The placing-in and taking-out operation technology for wagons on railway sidings is one of the important works in the technic station. Determining the reasonable timing and sequence of the wagons can not only ensure the train plan is completed but also effectively shorten the time of placing-in and taking-out and save the shunting locomotive hour cost. The travel time of locomotive in private sidings is the problem of input parameters. In the actual process of operation placing-in and taking-out, the cost of each section of the sidings varies with locomotive traction weight and the driver's manipulation levels, which will inevitably affect the placing-in and taking-out time and the order of working wagons. Based on reviewing the traditional model of the existing literature, the paper constructs the optimization model of wagon placing-in and taking-out under the condition of the fluctuant travel time. Then, the hybrid intelligent algorithm is presented based on stochastic simulation, neural network, and genetic theory. The example proves the feasibility of the random model and the effectiveness of hybrid intelligence algorithm.