Retrieved from Vol. 26, No. 3, 2022
Pages 127 -137
Received 02.03.2022
Revised 21.07.2022
Accepted 22.08.2022
Retrieved from Vol. 26, No. 3, 2022
Pages 127 -137
Abstract
To solve the problems of freight routing in large cities in conditions of non-stationary dynamics of traffic flows on sections of the urban road network (URN), a method of optimizing the route on the network in the form of a bidirectionally oriented weighted graph is proposed. The method is based on the use of a modified ant algorithm. The main element of the modification is that the possibility of asynchronous movement of ant colony agents at a certain speed is realized. In addition, it is also possible to record the results of the optimization of the partially traveled path to calculate the further route when changing the traffic conditions of these agents. This allows you to manage the process of optimizing the route taking into account the dynamic state of the URN, which is associated with significant changes in the speed of vehicles in certain sections of the network. These changes in speed may be due to increased load on the URN areas, the occurrence of congestion, emergencies, and so on. To test the proposed method, simulations of route optimization processes within the problem of a salesman on the example of the URN in Kyiv were performed using developed software. A number of effects were revealed during the simulation. These effects are associated with the restructuring of optimal routes while reducing the average vehicle speeds on the model sections of the URN to certain limit values that correspond to certain modes of traffic flow. The analysis of the identified effects allowed to formulate some methodological recommendations for making management decisions on the rational organization of cargo transportation. Based on the analysis of the results of simulation research, the possibility of using the method to solve problems of effective management of the transportation process in megacities is proved. In particular, the application of this method can be useful in the formation of optimal routes for delivery of goods online, taking into account the real state of traffic in the areas of URN.
Keywords:
traffic flow; urban road network; information technology; software; ant algorithm