The accuracy and efficiency of soil stabilization works are key to ensuring the durability of roads. During the conducted research, a GPS-based (global positioning system) tracking system was developed that can monitor the movement of soil stabilization vehicles in real time, recording the exact location and working width of the stabilized road sections. The system’s software solutions enable the conversion of location coordinates from the WGS84 (World Geodetic System) system to EOV (EOV as Uniform National Projection system) format and visualization of the results in AutoCAD. The developed tool can significantly contribute to the improvement of the quality control of soil stabilization works, as the development of road defects resulting from stabilization errors can be reduced with the help of documentation and visualization. During the testing of this system, the development proved to be successful and provides an opportunity to perform soil stabilization processes more efficiently and reliably, thereby improving the service life of road surfaces and traffic safety.
Environmental protection and the reduction of greenhouse gas (GHG) emissions are becoming top priorities in the mobility sector especially in heavy-duty truck (HDT) sector. In recent years, numerous regulations, targets, and initiatives have been introduced, all of which strongly promote the reduction of carbon-dioxide (CO2) emissions, the adoption of eco-friendly alternatives, and the use of renewable energy sources. The study compares CO2 emissions and fuel consumption between conventional diesel and liquefied natural gas (LNG) heavy-duty vehicles (HDVs) from the same original equipment manufacturer (OEM). The research was conducted on multiple levels, with a primary focus on control based on test track measurements. This was preceded by a simulation phase and followed by public road measurement-based validation process. In this study, we used the onboard monitoring (OBM) emission analysis method, a cost-effective and accurate process where data was recorded from the fleet management system (FMS) using controller area network (CAN) messages. The results are presented in several stages from simulation to data validation. Our research represents a unique study in the field of HDVs, as the measurements were conducted on a test track, supported by simulations and public road tests. The results of the project clearly demonstrate that gas technology can contribute to reducing GHG emissions in HDVs, and LNG provides a reliable alternative for long-distance transportation.
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