Advanced System of Planning and Optimization of Cargo Delivery and Its IoT Application
Stanislav Omelianenko, Yuriy Panteliyovych Kondratenko, Galyna Kondratenko, Ievgen V. Sidenko · 2019
This work is aimed at researching and developing a system that not only solves transportation problems with time windows and cargo capacity constraints, but will also take into account and plan real-time workflow events, adhering to which drivers and companies are more profitable and reduce transport costs. The implementation of the proposed multistage hybrid algorithm allows to quickly accomplish goals and hours of service (HOS), for each driver individually, allows to automatically assess the risks and, if necessary, dynamically change, exclude and pick up orders. In addition, an overview of methods and algorithms for transport planning and optimization is carried out. Also, the IoT application of this system of planning and optimization of cargo delivery using electronic registration devices (ELDs) is considered.