Intelligent Control of Marshalling Yards at Transportation of Dangerous Goods Based on Multiobjective Optimization

Abstract

Purpose. The scientific paper involves formalizing the process of building a plan for the operational work of the marshalling yard in the conditions of processing carloads with dangerous goods. The developed mathematical model is implemented in the form of an intelligent planning system that will minimize both operational costs and technological risks during the work of the marshalling yard. Methodology. Based on the analysis of modern approaches to the management of transport systems under risk conditions, a mathematical model has been formed that includes the objective function of technological costs associated with all the main technological operations that are performed at the marshalling yard: reception, disbanding, form and departure of trains, accumulation of cars, processing of trains containing cars with dangerous goods, operations with local cars. In addition, the model also contains an objective function of the risk exposure, which also requires minimization in order to minimize the risk of accidents and their consequences when operating cars with dangerous goods. The model should be optimized under certain conditions that correspond to the technological features of the marshalling yard and which were formalized as a system of constraints. Optimization of the model is proposed to be carried out using methods of multiobjective optimization based on a genetic algorithm of a special type. Findings. A mathematical model is created that allows in an automated mode to build an operational plan for a marshalling yard operation with simultaneous consideration of two criteria: operational costs and risk exposure. The model was implemented as part of the created software product with the use of which the simulation was carried out. Originality. An intelligent planning technology has been developed that uses multiobjective optimization methods and allows finding a compromise solution while taking into account both the criterion of operational expenses and the risk exposure one in the conditions of handling carloads with dangerous goods. Practical value. During the simulation it was revealed that the effectiveness of the proposed technology of intelligent planning based on the developed model in comparison with the traditional planning technology is about 6.5% by the criterion of operating costs and about 8% by the criterion of the risk exposure.

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“…One of the methods that is not affected by the stated paradox is the method of marginal utility (Zhao et al, 2006), according to which the optimal final solution is obtained based on the determination of the smallest value of affinity between the nearest vectors in the space of values of the objective vectors of the solutions. In the task of determining the optimal level of economic sustainability of business entities, which contains two partial criteria, it is necessary to analyse all vectors in terms of their affinity with the two nearest neighbouring solution vectors (Butko et al, 2018). It should also be noted that solving the multi-criteria optimisation problem of determining the optimal values of indicators of economic entities' sustainability using a genetic algorithm is expedient in the MatLab software environment.…”

“…Figure 3 shows the results of the calculations described above. The idea of the method of analysis of all vectors regarding their relationship with the two nearest neighboring solution vectors in the marginal utility method (Butko et al, 2018) is as follows: consider an arbitrary vector V 0 belonging to the set of Pareto-optimal non-dominated solution vectors and whose coordinates are the values of the target functions (f 1 0 , f 2 0…”

Development of an approach for operative control over railway transport technological safety based on the identification of risks in the indicators of its operation

“…Authors present formalization of the technology for management of operative operation of a classification yard under conditions of transportation of dangerous cargo taking into account tasks of risk management in papers [29,30]. There is a function of current risk and a criterion for the exposure of danger risk formed.…”