Department of Computers, Electronics and Automation, Faculty of Electrical Engineering and Computer Science, "Stefan cel Mare" University, No.13. Str. Universitatii, 720229 Suceava, Romania.
Department of Computer Science, Technical University of Cluj-Napoca, Gh. Baritiu St. 26-28, 400027 Cluj-Napoca, Romania.
Sensors (Basel). 2022 Nov 28;22(23):9255. doi: 10.3390/s22239255.
A real problem of today's society is the loss of human lives due to road accidents and the pollution caused by freight transport through metropolitan areas. The restrictions imposed in the near future for freight transport could reduce its efficiency and create many more problems. Using data centralization and developing applications or algorithms dedicated to the freight transportation sectors, routes and emissions can be managed much more efficiently. In this work, general aspects are presented, as well as a route optimization model for freight transport, taking into account the environmental impact, based on a heuristic algorithm, that of the ant colony (ACO). A multitude of studies has focused on what represents the benefits created by the applicability of solutions rather than on generalities and perspectives. The paper aims to highlight the usefulness of an optimization model of freight transport routes and the minimization of time and social costs. The study will show us that an optimized route for freight transport has a huge impact on costs, but also on time efficiency and polluting emissions.
当今社会的一个现实问题是，由于交通事故和货运穿越大都市地区造成的污染，导致人类生命的丧失。在不久的将来对货运施加的限制可能会降低其效率并造成更多的问题。通过数据集中化以及开发专门用于货运行业的应用程序或算法，可以更有效地管理路线和排放。在这项工作中，介绍了一般方面，以及基于启发式算法（即蚁群算法）的考虑环境影响的货运路线优化模型。大量研究都集中在解决应用方案所带来的收益方面，而不是一般性和前瞻性问题上。本文旨在强调货运路线优化模型和最小化时间和社会成本的实用性。研究表明，货运优化路线对成本有巨大影响，同时对时间效率和污染排放也有影响。
