Models of functioning and resources allocation of road and transport infrastructure

International Scientific Conference "Knowledge-based technologies in development and utilization of mineral resources"

Buyvis, V.A.^1 ; Novichikhin, A.V.^1 ; Kaledin, V.O.^2

Siberian State Industrial University, 42 Kirova street, Novokuznetsk

654007, Russia^1

Novokuznetsk Institute (Branch), Kemerovo State University, 23 Tsiolkovskogo street, 654041, Russia^2

关键词: Fuzzy modeling;    Management decisions;    Quantitative and qualitative assessments;    Resources allocation;    Short term;    Strategic level;    System conditions;    Transport infrastructure;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/206/1/012036/pdf
DOI  :  10.1088/1755-1315/206/1/012036

来源: IOP

【 摘 要 】

Specific features of functioning of a modern road and transport infrastructure on the example of Kemerovo region are determined. As a tool for justifying management decisions and the formation of projects for short-term periods, a set of indicators of functioning and resources allocation of the road and transport infrastructure was proposed. Taking into account the situation in Kemerovo region, three types of scenarios for the development of projects in the road and transport infrastructure are considered, depending on the investment potential: optimistic, mild and pessimistic. To eliminate uncertainties in the planning of functioning and resources allocation of road and transport infrastructure at the strategic level, the model for the problem of functioning and resources allocation in the road and transport infrastructure within the fuzzy-set theory was formulated. The modeling of scenarios based on the developed fuzzy model of functioning and resources allocation in the road and transport infrastructure at a qualitative level was performed. The proposed models for the functioning and resources allocation in the road and transport infrastructure made it possible to obtain quantitative and qualitative assessments of the system condition for assessing the effectiveness of functioning in operational and strategic planning in the conditions of uncertainty.