PMS

The database module contains software enabling the import of fixed and variable road parameters. Fixed parameters are passport, nodal location system, road construction data, traffic census data and repairs. Variable parameters are roughness, running tracks, longitudinal unevenness, load capacity and 15 types of failures. The module serves as a basis for other software that processes the contained data and allows the user to obtain a number of other information and selections such as selections of sections with emergency parameters, selections of sections probably emergency in the future, selections of sections where there is a high probability that road capacity has been exhausted, evaluation of sections in terms of costs for routine maintenance, etc.

The expert module is a system to support the decision of the user (administrator). Provides continuous repair decisions for changing combinations of measured variable parameters and faults. The software traverses the road according to the station and reads data from the passport, variable parameters and faults, and proposes a method of repair for each of their combinations. In this way, it decides on the lane in the direction and against the direction of the station, if it was measured. Repair decisions contain a description of the individual technologies that make up the proposed repair, including areas and prices. The resulting decisions are the basis for further decisions by the user, who has the opportunity to merge decisions into larger technological units both in the direction and in the opposite direction, as well as across the entire width of the road and create their own decision on the necessary repairs.

The economic module uses the resulting decision of the user and determines the order of urgency of the sections to be repaired on the basis of the invested funds intended for continuous maintenance. The order of urgency is determined on the basis of knowledge of emergency variables, traffic load and the forecast of increasing costs for the repair of the section in the future if the repair is not performed. This module works with data of variable parameters measured in the current year and previous years, stored in the archives of the database module. From this data, it creates development curves of individual parameters for individual road sections and extrapolates them to the future. Based on the forecast data created in this way, it makes decisions about the necessary maintenance and identifies financial needs in the future in the event of non-maintenance. To the rising means of repair in case of its non-execution, the predicted costs for routine maintenance of the given section are added. The optimization procedure of the economic module then creates a sequence of sections to be repaired so that the maintenance funds invested are used where there is a risk of a large increase in costs in the future if no maintenance is performed. This ensures maximum efficiency in the use of financial resources. In addition, the forecasted data is made available to the user as another important source of information on the development of individual sections or roads. The module also enables the creation of a repair plan for specified funds, its printing and export to a higher administrative unit.