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Over time, the pavement structure deteriorates. Factors that contribute to the deterioration of the pavement structure are traffic load, material properties and climate influences. Low temperatures lead to freezing of water and the appearance of ice lenses, which raises pavement structure. It is necessary to check the resistance of the pavement structure to the harmful effects of frost. This paper presents the calculation of the frost index value for six meteorological stations in Serbia for the period from 2014 to 2020. Relevant frost index value for the 20-year and 10-year project period are also given.

Ovim radom obuhvaćen je proces terenskog i laboratorijskog ispitivanja, sa analizom rezultata na osnovu koga je sproveden kompletan tok projektovanja saobraćajnica i pratećih površina u ulici Laze Nančića, delu Bulevara Evrope, i novoplaniranoj ulici sa vezom do Bulevara Evrope u Novom Sadu- sa dimenzionisanjem i usvajanjem kolovozne konstrukcije prema standardu SRPS U C4.015

The demands of the society led to the development of large infrastructure facilities that have great material value. At the same time, the development of an infrastructure management began. The world’s most developed systems are traffic infrastructure management systems as well as bridge management systems. When managing an infrastructure, we tend to have minimal costs. This paper describes the assessment of the condition of the road objects in Beocin. The study included 37 objects, which are divided into three groups by their importance. Culverts were assessed according to the German methodology.The method of evaluation according to the German methodology, which is based on the catalog with ratings according to the load, safety and durability parameter, is presented. On the basis of the assessment of the objects condition, a decision on possible works is made.

The quality of road infrastructure largely depends on the quality of road construction and adequate construction machinery. In order to reduce uncertainties and improve the performance of road infrastructure, it is necessary to apply modern and appropriate construction machinery. The aim of this study was to create a novel integrated multi-criteria decision-making (MCDM) model for the selection of pavers for the middle category of roads. A total of 16 criteria were defined and then divided into four main groups, on the basis of which the performance of 12 pavers was evaluated. Improved Fuzzy Stepwise Weight Assessment Ratio Analysis (IMF SWARA) with D numbers (IMF D-SWARA) was extended to determine the significance of the criteria for the selection of construction machinery based on two groups of experts. Rough measurement of choices and their ranking as a compromise solution (R-MARCOS) was used to evaluate and rank the performance of construction machinery. The results show that three alternatives out of the set considered can satisfy defined requirements. After that, we performed a multi-phase validity test in which different values of criterion weights were simulated. A comparative analysis with seven other Rough MCDM methods was also created, and the Spearman’s correlation coefficient (SCC) and WS coefficient were calculated to determine the correlation of ranks for sensitivity analysis and comparative analysis. Thus, the obtained results were verified.

Supply chain management (SCM) has a dynamic structure involving the constant flow of information, product, and funds among different participants. SCM is a complex process and most often characterized by uncertainty. Many values are stochastic and cannot be precisely determined and described by classical mathematical methods. Therefore, in solving real and complex problems individual methods of artificial intelligence are increasingly used, or their combination in the form of hybrid methods. This paper has proposed the decision support system for determining economic order quantity and order implementation based on Adaptive neuro-fuzzy inference systems - ANFIS. A combination of two concepts of artificial intelligence in the form of hybrid neuro-fuzzy method has been applied into the decision support system in order to exploit the individual advantages of both methods. This method can deal with complexity and uncertainty in SCM better than classical methods because they it stems from experts’ opinions. The proposed decision support system showed good results for determining the amount of economic order and it is presented as a successful tool for planning in SCM. Sensitivity analysis has been applied, which indicates that the decision sup- port system gives valid results. The proposed system is flexible and can be applied to various types of goods in SCM

The construction industry, as one of the most complex sectors, depends on using wasted and recycled materials, timely decision-making, and adequate execution of all activities in supply chains. This paper presents tests of mixtures for cold in-place recycling where existing material is used. In this research, we used cement and bitumen emulsion as well as fly ash, zeolite, slag, and Bakelite. A total of seven mixtures were tested in order to increase sustainability. It was tested the indirect tensile strength and dynamic modulus of elasticity after seven and 28 days for dry specimens, after 28 days for water-saturated specimens and for specimens exposed to frost. After completing the tests using the MEREC (MEthod based on the Removal Effects of Criteria) and CoCoSo (Combined Compromise Solution) multi-criteria model, mixtures were evaluated and ranked in terms of mechanical properties, price, and environmental protection. Considering the ranking of mixtures using the CoCoSo method, the highest quality mixtures, for most combinations of weight factors, are mixtures with slag, mixtures with fly ash, and mixtures with 2% of cement and 2% of bitumen emulsion. Sensitivity analysis was also performed with new simulated values of the criteria in order to determine the individual influence of the criteria on the ranking of mixtures. The conclusions are as follows: the use of bitumen emulsion, cement, waste materials, and other materials in cold recycling would reduce the cost of recycling pavement structures, increase environmental protection, while the mechanical properties of the pavement structures are within acceptable limits.

The paper studies the transportation of hazardous materials with a focus on the delivery of hazardous material packages using courier services. The managerial approach to solving the problem of package shipment is the basic characteristics and the essence of modern management in courier services, without which it is impossible to imagine a more efficient operation, work and development. Transportation of hazardous materials has to be organized according to certain regulations, which are defined for each means of transportation, in order to minimize the risk of accidents. Hazardous materials shipments using courier services with transport reliefs are possible with 'limited quantities' and 'exclusion under transport category'.

Regression analysis is used to develop models for minimal daily pavement surface temperature, using minimal daily air temperature, day of the year, wind speed and solar radiation as predictors, based on data from Awbari, Lybia,. Results were compared with existing SHRP and LTPP models. This paper also presents the models to predict surface pavement temperature depending on the days of the year using neural networks. Four annual periods are defined and new models are formulated for each period. Models using neural networks are formed on the basis of data gathered on the territory of the Republic of Serbia and are valid for that territory. [Projekat Ministarstva nauke Republike Srbije, br. TR 36017]

The modern approach to area management in recent times implies an efficient, reliable and qualitative acquisition of spatial data. Modern surveying equipment provides more flexible and effective procedures for data collection that provide increasing opportunities for qualitative decision-making of end users. Simultaneously, these data represent the spatial basis for the implementation of GIS systems, whose successful utilisation in business systems within local government paves the way for the establishment of “e-government”. This paper presents the results of the comparative advantages of data acquisition using the mobile mapping system (MMS) and the method for realization of the idea of effective area management, based on the example of the Directorate for Construction of the Municipality of Bačka Palanka, Serbia.

Prethodna istraživanja su utvrdila da je mjerenje uzdužne hrapavosti kolnika izraženo kroz međunarodni indeks hrapavosti (International Roughness Index - IRI) jedan od najvažnijih pokazatelja za ukupnu ocjenu stanja cestovne mreže. U isto vrijeme IRI predstavlja ključni okidač za planiranje i primjenu različitih radova održavanja cesta kao što su sanacije ili rekonstrukcije kolnika. U radu se razmatraju postojeće metode za mjerenje hrapavosti kolnika i ocjenu stanja cestovne mreže u Republici Srbiji u ukupnoj dužini od 13 191,34 km., Earlier researches have established that the measurement of pavement longitudinal roughness expressed through International Roughness Index (IRI) is one of the most important indicators for overall evaluation of road network condition. At the same time IRI presents the key trigger for planning and applying the different road maintenance works like pavement rehabilitation or reconstruction. This paper examines the existing methods for measurement of pavement roughness and evaluation of the road network condition in the Republic of Serbia in total length of 13 191,34 km.