The low-speed turning maneuverability of vehicles is closely related to a well-known offtracking phenomenon which occurs when the rear wheels of a turning vehicle deviate towards the inside of a horizontal curve. Although numerous mathematical models and computer programs for vehicle swept path analysis have been developed in the past, only a few of them can calculate the maximum transient offtracking of a turning vehicle, yet with limited accuracy. The authors were motivated by this fact to find a new mathematical solution for maximum transient offtracking calculation of a single-unit vehicle when negotiating circular curves. In the first stage, a transcendental equation defining vehicle maximum transient offtracking position is derived and numerically solved by Python 3.10.12. In the second stage, the polynomial regression model predicting accurate numerical solutions of the transcendental equation with the desired level of accuracy was developed and tested. The new calculation method is simple enough to simply take the vehicle datum length, circular curve radii, and turn angle, while instantly producing the maximum transient offtracking value, without the need to draw any of the vehicle movement trajectories.

This paper presents perhaps the shortest possible algorithm for drafting a turbo block in a standard CAD environment. Though not defining the complete turbo roundabout geometry (the legs are defined by their centerlines only), turbo block construction stays at the very core of its geometrical definition. Relevant national policies elaborate turbo block construction at various levels of detail. Some policies skip certain definitions of spirals’ centers and some even allow for slight discontinuities in spiraling lanes’ geometries. But, as our computer program had to be based on precisely defined geometrical features, no question, be it a location of a particular center or relation between the interconnecting arcs, could be left unanswered. Consequently, while explaining the basics on which the program relies, all the elements of the turbo block are discussed. Even the problems not addressed in renowned national policies (such as alternatively matching marking and curb lines) had to be resolved before being incorporated into the program. After resolving and elaborating turbo block roundabout technics in detail, a new cyclic algorithm for turbo block construction is presented. The program is very short and could be easily understood and modified by the average programmer.

The lifespan of a structure encompasses its initial construction, followed by its operational phase, and ultimately, its rehabilitation. To accurately determine the optimal timing for rehabilitation, it is essential to continuously monitor the current state of the structure. Applied to road infrastructure, this monitoring process entails the systematic collection of data on pavement damage. This paper provides an analysis of existing models for detecting pavement cracks and introduces a detection method leveraging artificial intelligence techniques, specifically deep neural networks, and transfer learning. During the selection process, various deep neural network architectures, including ResNET 50 and ResNET 34, were evaluated. Comparative analysis revealed that the ResNET 50 network achieved the highest accuracy (Acc) in crack detection

Bitumen, as the main binder used for the production of asphalt layers of road constructions, is obtained by distilling crude oil, which, as a fossil fuel, will have limited availability in the future and whose exploitation has a significant negative impact on the environment. The concept of bio-binders has recently been developed and refers to binders for asphalt mixtures containing bio-renewable materials. The paper presents the types of biobinders, their application, the basic requirements so that they can be used in asphalt layers, as well as the production procedures. The basic physical and chemical characteristics of bio-oil, as well as the significant characteristics of bio-binders and their influence on the aging resistance of modified bitumens are presented. Finally, the impact of the application of bio-binder on the performance of asphalt mixtures is presented, which depends to a considerable extent on the origin of the biomass used for production of biobinder. Bio-binders generally have a favorable effect on improving the characteristics of asphalt mixtures at low temperatures, but lead to a decrease in the rutting resistance of the mixtures at high temperatures. In addition to this, a description of the application of bio-binders for the rejuvenation of aged bitumen from reclaimed asphalt pavement, which is widely used in the recycling of asphalt mixtures, is presented.