APPLICATION OF GEOINFORMATION SYSTEMS FOR ORGANIZATION TRANSPORTATION OF CARGOS
Abstract
The purpose of the article is to identify and apply modern scientific and practical approaches to geoinformation technologies in the organization of cargo transportation, for example, in the city of Kharkiv. The main task of transport is to ensure the needs of the population in meeting the needs for their movement and transportation of goods. The questions of organization of transportation were investigated, for the most part, from the approaches of minimizing expenses by the invention of optimal schemes of motion. This achieved the conditions for reducing the variable costs in the functioning of transport processes. In the given research the problem of integration of geoinformation technologies in the process of organization of cargo transportation is solved. The purpose of the geoinformation system developed by the motor transport industry is to improve the quality of transport, the timeliness of the decisions, the correctness of the formation of cargo transportation routes, reducing the number of subjective nature of errors. Along with performing the function of monitoring the transport on the map, storing the history of the traveled route and registering deviations from the fleet management schemes of the fleet of geoinformation systems allows continuous monitoring of the level of costs and distribution of fuel. If transportation requires several types of transport, then geographic information systems are the most appropriate basis in this case, since they are able to combine information across a multitude of transport networks in a single database and on one electronic map. Therefore, GIS is the optimal platform for private and integrated transport solutions, in addressing the challenges of managing transport infrastructure on the basis of a single universal criterion - a spatial component that is inherent in virtually all types of data. Compliance with driving time requirements, deviations in timetables, inventions of optimal distribution of transport work between vehicles, maximum time of delivery of products to end-users from the manufacturer and minimization of the total mileage of vehicles of the carrier's enterprise are ensured. Simultaneous consideration of the specified requirements as factors of constraints in modeling of transport routes comprehensively takes into account not only socioeconomic requirements of the present, but also reduces the ecological burden on the environment.
Keywords: freight traffic, geoinformation systems, route, transport, transport infrastructure.
References
Література
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References
Khan, Ata M. (2007). Intercity passenger transportation: energy efficiency and conservation case study. Transportation Planning and Technology, 7(1).
Seedat, Ibrahim (2007), Implementing the 2007 Public Transport Strategy and Action Plan : transportation. Civil Engineering = Siviele Ingenieurswese, 15(9).
Crozet, Yves (2009), he prospects for inter – urban travel demand. Future for interurban passenger transport : bringing citizens closer together : 18th International Symposium on Transport Economics and Policy.
Ghosh, Indrajit (2016) Determination of Passenger – Car Units on Two – Lane Intercity Highways under Heterogeneous Traffic Conditions. Journal of Transportation Engineering, 142(2)
Schwieterman, Joseph (2016) ntercity Buses: 2015 Was A Smooth Ride. New Geography
Zuse Institute Berlin,; Markus Reuther Affiliation: Zuse Institute; Kerstin Waas Affiliation (2016): Integrated Optimization of Rolling Stock Rotations for Intercity Railways, Transportation Science, 50(3).
Affiliation, Tao Li (2016), A Demand Estimator Based on a Nested Logit Model, Transportation Science.
Dolya, C., Botsman, A., & Kozhyna, V. (2017). Investigation of approaches to modeling of intercity passenger transportation system. Technology audit and production reserves, 4/2 (36), 24-28.
Grigorova, T., Davidich, Yu., Dolya, V. (2015). Transport Fatigue Simulation of Passengers in Suburban Service. International Journal of Automation, Control and Intelligent Systems. 1(2), 47–50.
Grigorova, T., Davidich, Yu., Dolya, V. (2015). Assessment of elasticity of demand for services of suburban road passenger transport. Technology audit and production reserves,3/2 (23), 13–16.
JSC «Ukrzaliznytsia». Retrieved from
Park, M., & Hahn, J. (2015). Regional Freight Demand Estimation Using Korean Commodity Flow Survey Data. Transportation Research Procedia, 11, 504 – 514.
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