Modeling of Operative Planning Solution for Transport Management Systems

Due to the dramatically increased processing capabilities today, manual work of planning and scheduling of metropolitan public transport operations should be automated using advanced optimization methods. Automation aims to reduce the tedious and time-consuming manual activities, thus increase efficiency and provide prompt opportunities of scenario planning for cost analysis purposes. This paper briefly outlines the modeling techniques of operative planning solution for transport management systems. The goal of this research is to create and implement the model in a real environment so that algorithms can be tested.