Abstract
A synergetic approach for simulation the processes of optimizing cargo delivery routes, taking into account the non-stationary dynamics of traffic flows on sections of the urban road network is proposed. Here, route optimization is carried out using a modified ant colony self-organization algorithm. At that, the analytical dependences of the change in the speed of the traffic flow on the characteristic time and load density on sections of the road network are determined in the framework of the synergetic Lorentz model. Simulation of the building of optimal routes is carried out using the proposed approach on the example of the Kiev city. The possibility of using this approach to solve the problems of efficient control of the process of routing freight traffic in conditions of the real dynamics of traffic flows is shown. Prospects for the use of the developed approach in intelligent transportation systems are discussed, for example, in solving problems of dynamic routing of vehicles using traffic prediction information.
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Danchuk, V., Svatko, V., Kunytska, O., Kush, Y. (2021). Simulation of Processes for Optimizing the Delivery Routes of Goods on Urban Road Networks by a Synergetic Approach. In: Sierpiński, G., Macioszek, E. (eds) Decision Support Methods in Modern Transportation Systems and Networks. Lecture Notes in Networks and Systems, vol 208. Springer, Cham. https://doi.org/10.1007/978-3-030-71771-1_12
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