This research is focused on the test of the Electronic Parking Brake (EPB) and the hand brake at several Ministry of Transport (MOT) facilities to see if there are differences between data obtained. The parking brake force have been measured on three different brands of roller bed testers from MOT facilities such as: Maha, Ryme and Vteq. The rejection threshold is the same for all testers, 16% Efficency. Efficiency measured with all testers used were compared and also the MOT brake tester characteristics were compared to study correlations.

In the article, the multi-agent platform for convergent sensor data processing in a monitoring system for Smart Road Infrastructure are considered. The platform works with a network of spatially distributed photo-radar complexes, which in real time record road accidents. The paper discusses tools for collection of road accident’s photo and video data fixation, data mining and forecasting of transport incidents, depending on various factors (meteorological, social, operational, etc.). The results of monitoring and analysis of traffic accidents, fixed by an intelligent monitoring system with photo-radar complexes are considered. The connection between the complexes and the data processing center using a heterogeneous wireless network is established. A multi-agent approach developed to address the tasks of sensor data collecting and processing.  Convergent approach is the convergence of cloud, fog and mobile data processing technologies. The structure of the neural network is adapted to the diagnosing problems and forecasting. The tasks of intellectual analysis and forecasting traffic accidents solved. The hybrid fuzzy neural network synthesized. Because the comparison of time series of traffic accidents and time series of meteorological factors, it established that the presence of factors to become determinants for an abnormal change in the traffic situation in controlled areas. The monitoring system is a part of Smart Road Infrastructure within the framework of the Smart & Safe City concept.

An octaband micro strip antenna is designed that integrates the current wireless technologies with some of the older and upcoming technologies of the mobile communication. It provides backward compatibility to the technologies like 2G, 3G. It operates in all the three Wi-Fi bands, the proposed 5G band at 3.3 to 3.4 GHz (lower 5G bands) and the Wi-Max band. It is designed with copper as the conductive material and FR-4 as the substrate. Defective ground structure (DGS) has been implemented to improve the return losses. This antenna radiates at 8 different frequencies which are: 2G (1.8 GHz), 3G (2.1 GHz), 4G (2.3 GHz), 5G (3.3GHz), Wi-Fi (2.4 GHz,5.0GHz,5.9 GHz), and Wi-Max (4.2 GHz).

New Wireless Sensor Networks (WSN), is the new generation of real-time embedded systems with limited computation, energy and storage which have variety usage, especially when that is not possible using traditional networks. Given that, in this networks energy problem is important major challenge, using Clustering model can be considered as a solution to overcome this problem. In this instruction, sensor nodes grouped in a set of cluster and pick out a central node for Cluster Head (CH) node. Choose the appropriate cluster, reduce energy consumption in these networks, as a result increase networks lifetime. Hence, in this study, unlike previous studies, used Gravitational Emulation Local Search Algorithm (GELS), for clustering and select appropriate CH. This method is based on three descriptors of energy, dispersion and centrality of nodes, and simulations indicate, where the CH only selected based on local data set, significantly increase network lifetime.