Automation of the Solution to the Problem of Optimizing Traffic in a Multimodal Logistics System

Abstract

The development of methods for automating the distribution of finished products is possible using mathematical methods. Algorithms based on these methods will improve the efficiency of the transport industry and the logistics component in the network. Transportation costs account for a large part of the total logistics costs, so optimizing a multimodal logistics system increases the productivity of vehicles. The use of a mathematical model for optimizing the multimodal logistics chain allows controlling the functioning of transportation processes and combining incoming cargo information into a single data collection and processing system, which will improve the quality and efficiency of all links in the transport and logistics chain as a whole. The simulation results showed that in order to optimize a multi-modal logistics network in an urban agglomeration, many conditions, such as cost reduction, delivery time limits and the introduction of fines for exceeding exhaust gas emissions should be taken into account. The influence of the above factors on the optimal solution of the problem is studied. To solve it, the use of a heuristic algorithm for automating the design of new logistics systems was proposed taking into account changing demand and changes in transportation tariffs.