Abstract
The aim is to develop a methodology for determining analytically the fuel consumption in a hot climate and substantiate reliability, as well as the possibility of its application by comparison with test results. The article proposes analytical methods for calculating fuel economy and traction-speed properties when modeling the movement of cargo-carrying vehicles on real routes, based on theoretical and experimental studies in a hot and dry climate, which allows for determining the efficiency of cargo-carrying vehicles objectively in terms of traction and speed, fuel and economic indicators. Using the statistical processing of experimental, theoretical research data, the authors calculate the coefficient X2, which allows for evaluating the adequacy of the mathematical model and experimental data. The paper provides for an assessment of fuel economy and traction and speed properties. The authors presented the results in graphs for the ease of evaluating the effect of external temperature on fuel consumption and the average speed of a road train. The authors' methodology allows for determining the efficiency of cargo-carrying vehicles in a hot and dry climate.
Highlights
The most important problems of our time are the development of ways of rational use of energy resources and their economy
Cargo-carrying vehicles and road trains are parts of the main consumers of liquid fuel and, increasing the fuel economy of this type of transport is a significant reserve of its economy [1, 2]
When developing measures to increase the constructive efficiency of cargo-carrying vehicles that contribute to improving fuel economy, it is necessary to have data on the value of each of the components of resistance to vehicle movement and on the influence of structural and operational factors on them in hot climates [3,4,5]
Summary
Cite article: Zhasur, K., Ravshan, K., Alisher, S., & Yulduz, K. Training neural networks using reinforcement learning to reactive path planning. Journal of Applied Engineering Science, 19(1) 68 - 76. Online aceess of full paper is available at: www.engineeringscience.rs/browse-issues
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