Road traffic accidents are a significant public health issue, accounting for almost 1.3 million deaths worldwide annually, with millions more experiencing non-fatal injuries. A variety of subjective and objective factors contribute to the occurrence of traffic accidents, making it difficult to predict and prevent them on new road sections. Artificial neural networks (ANN) have demonstrated their effectiveness in predicting traffic accidents using limited data sets. This study presents two ANN models to predict traffic accidents on common roads in the Republic of Serbia and the Republic of Srpska (Bosnia and Herzegovina) using objective factors that can be easily determined, such as road length, terrain type, road width, average daily traffic volume, and speed limit. The models predict the number of traffic accidents, as well as the severity of their consequences, including fatalities, injuries and property damage. The developed optimal neural network models showed good generalization capabilities for the collected data foresee, and could be used to accurately predict the observed outputs, based on the input parameters. The highest values of r² for developed models ANN1 and ANN2 were 0.986, 0.988, and 0.977, and 0.990, 0.969, and 0.990, accordingly, for training, testing and validation cycles. Identifying the most influential factors can assist in improving road safety and reducing the number of accidents. Overall, this research highlights the potential of ANN in predicting traffic accidents and supporting decision-making in transportation planning.

The negative external effects caused by traffic growth have been recognized as the main factors that degrade city quality of life. Therefore, research around the world is being conducted to understand the impact of traffic better and find adequate measures to reduce the negative impact of traffic growth. The central part of this research consists of mathematical models for simulating the negative consequences of congestion and noise pollution. Four non-linear models for determining noise levels as a function of traffic flow parameters (intensity and structure) in the urban environment were developed. The non-linear models, including two artificial neural networks and two random forest models, were developed according to the experimental measurements in Novi Sad, Serbia, in 2019. These non-linear models showed high anticipation accuracy of the equivalent continuous sound level (Laeq), with R² values of 0.697, 0.703, 0.959 and 0.882, respectively. According to the developed ANN models, global sensitivity analysis was performed, according to which the number of buses at crossings was the most positively signed influential parameter in Laeq evaluation, while the lowest Laeq value was reached during nighttime. The locations occupied by frequent traffic such as Futoska and Temerinska positively influenced the Laeq value.

Vehicle acceleration is an important parameter used in planning various road elements, traffic signalization, geometric elements of an intersection, signal plans of traffic lights, etc. The knowledge of vehicle acceleration values is also necessary in using simulation softwares for more accurate analysis of the total situation at an intersection, on a road section or in a traffic network. In a lot of earlier studies, acceleration values were analysed and defined, mostly in optimal conditions for traffic functioning. However, values of almost all traffic flow parameters have been changed over time, due to changes in driving-dynamic vehicle characteristics, pneumatic tyres, material used for building road surface, etc. Besides, local environment influence and changes in drivers’ behaviour also significantly affect values of this parameter. According to HCM, it is advisable to perform local research for all values of the parameters recommended within the framework of this handbook, and to adapt their values to local conditions as well. The results of measuring the values of vehicles acceleration at signalized intersections in Novi Sad, Serbia, have been shown in this paper, using the procedure based on video recording processing.

In this paper we will present results of the project “Study of the establishment of the regional cycling route Srem”. The overall objective is the improvement of the socio-economic situation of the Srem region within the Danube-Serbia region, by means of building a sustainable cycle tourism infrastructure as a prediction for the development of the tourism sector. The planned route of the main regional cycling routes through Srem area was identified in the Regional Spatial Plan of AP Vojvodina, as a national bicycle corridor. The total route length of 142km and through Fruska Gora mountain is 104km. In addition to this basic route area take into account the other routes that are logical and functional solution for the route Srem. The use of the existing road is mainly for tourism purposes but largely used as a forest road, which affects his rapid deterioration. The area through which the main trail passes is very important but under-utilized tourism potential, given the almost the entire length stretches through the National Park. There are large number of lakes, wine trails, monasteries and other tourist attractions. However, on the primary bicycle route no cycling signs or objects that would provide the necessary services to cyclists exists. Also, there are no maps and other materials that would inform cyclists on the route and to provide the necessary service information and data on tourist facilities. By implementing the results of these Study will significantly increase the attractiveness of the route and will create conditions for the development of the cycle tourism in Serbia.The final project outputs include:1.Analysis of traffic flow- supply and demand on the relevant route, analysis of traffic safety with a focus on the cyclists,2.Defined bicycle route Srem and measures to improve the current situation (the existing infrastructure, critical sections, potential locations for rest areas, services, accommodation facilities, measures to improve bicycle safety along the route trails, guiding the route from the border with the Republic of Croatia, Euro Velo 6 connection with the Srem bicycle route).3.De-tour routes along the main route linked with the important cultural, historical, natural and religious facilities.4.Project signalization and information boards along the proposed bicycle network (unified guiding principles of the presented maps, situational plans of bicycle signals with defined directions in which to set up in GPS coordinates, Detailed drawings of each of the planned panel, Project for signposts installation, Standard solutions for the placement of signs5.Design of the bicycle stations and rest areas (Defined the conditions, the optimal number and distribution of rest areas, locating them only in public land,6.Regional cycling map of the route7.A simple Cost-Benefit analysis