Air pollution is a cause for serious concerns in urban areas in Republic of North Macedonia. Intensive development of road transport increases the main air pollutants’ concentrations - particulate matter and nitrogen dioxide, whose monitored values are continuously exceeding the limit. The main disadvantage of the national plans and annual reports is the absence of comprehensive and categorized list of reduction/mitigation measures for road transport impacts on air quality. Analyzing the current air pollution problem and road transport contribution this paper provides the needed and detailed categorization of short-to-long term reduction/mitigation measures consisting of five subcategories. Based on measure categorization, a guiding frame for urban air quality is designed, intended for further support and assistance for local authorities in the process of air pollution control. Designed with integrated activities, the air quality guidance enables them to select suitable measures to manage road transport pollution and to evaluate their effects estimating the changes in air pollution levels. Hence, the guidance can be used for thorough planning of air quality issues caused by road transport and for policy making. Contributing for urban air quality improvement the guidance is a first step towards the implementation of air pollution management in urban areas. Doi: 10.28991/cej-2021-03091651 Full Text: PDF

The main objective of this research is to develop a model and to calibrate it in order to apply it to transport forecasting for Anamorava region. The synthetic model has been developed, and it is composed of a transport network model and a demand model, which is enabled using PTV Visum software as well as using the following variables as input: number of residents, number of people employed, working places available as well as the volume of vehicles entering and leaving certain locations surrounding the Anamorava region at "peak hour". Required coefficients are used for converting the traffic volumes from 12 hours to 24 hours expressed, such as AADT. As a criterion, for initial verification R 2 , RMSPE, Percentage Deviation and Regression parameters are used. Then, a calibration of the demand model is conducted using the TFlowFuzzy algorithm by employed GEH test, comparing it with the observed data of traffic volumes accomplished simultaneously at some locations inside and in the vicinity of this region for time intervals of 12 hours on two different days in one week in May 2016. In order to fulfil all the criterions, it has been found out that the final model may be used for transport demand forecasting in the future in this region.

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Today, pollution is a worldwide problem. Pollution is a result due to the rapid growth of civilization and the number of motor vehicles. It causes deterioration and poisoning of the environment, including air, water and soil, and poses a serious threat to the human health. With the process of urbanization, the need for mobility over short and long distances with use of motored vehicles also grows. In addition to the forecast of transport demand for a certain period of time, there are also software tools that allow the calculation and forecast of the percentage of harmful emissions and noise caused by traffic. In this paper, the module that contains the software tool Visum for the environment for the city of Prilep, North Macedonia will be presented.

The development of information and computer technology finds application and becomes an integral part of traffic engineering. Modern traffic engineering can not be imagined without the use of modern software tools that facilitate and verify the work of traffic engineers. In developed European and world countries, traffic forecasts are made with modern software tools without which traffic engineering can not be imagined. The PTV Visum Macroscopic Traffic Model is the world's leading software for traffic analysis, forecasting and data management, transport demand modeling, and forecasting for neighborhoods in urban areas, cities, regions, and even countries. The aim of the paper is to use the PTV VISUM software to forecast the transport demand at the regional level, for example in the Pelagonija region.