<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The main purpose of the study is to develop a method based on the modified ant algorithm and demonstrate the applicability of its use for building of optimal cargo delivery routes, taking into account the real (non-stationary) dynamics of highdensity traffic on the urban road network in megacities. Within the framework of the proposed method the simulation of building optimal routes, by the example of Kiev, was carried out. The results of study indicate the possibility of using the method for the solution to the problems of efficient management of the freight transportation routing process in the conditions of real dynamics of traffic flows (dense traffic, traffic jam, emergency situations, etc.).</p></abstract>

The main purpose of the study is to develop a method based on the modified ant algorithm and demonstrate the applicability of its use for building of optimal cargo delivery routes, taking into account the real (non-stationary) dynamics of highdensity traffic on the urban road network in megacities. Within the framework of the proposed method the simulation of building optimal routes, by the example of Kiev, was carried out. The results of study indicate the possibility of using the method for the solution to the problems of efficient management of the freight transportation routing process in the conditions of real dynamics of traffic flows (dense traffic, traffic jam, emergency situations, etc.).

Building Optimal Routes for Cargo Delivery in Megacities

Faculty of Transport and Information Technologies

Faculty of Management, Logistics and Tourism

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Building Optimal Routes for Cargo Delivery in Megacities"}

The main purpose of the study is to develop a method based on the modified ant algorithm and demonstrate the applicability of its use for building of optimal...

Building Optimal Routes for Cargo Delivery in Megacities

Online veröffentlicht: 02. Mai 2019

Seitenbereich: 142 - 152

DOI: https://doi.org/10.2478/ttj-2019-0013

Schlüsselwörter
optimal route, traffic flows, methods of optimization of transport routes, ant algorithm

© 2019 Transport and Telecommunication Institute, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Building Optimal Routes for Cargo Delivery in Megacities

Online veröffentlicht: 02. Mai 2019

Seitenbereich: 142 - 152

DOI: https://doi.org/10.2478/ttj-2019-0013

Schlüsselwörteroptimal route, traffic flows, methods of optimization of transport routes, ant algorithm

© 2019 Transport and Telecommunication Institute, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
optimal route, traffic flows, methods of optimization of transport routes, ant algorithm