## 3 Requirements for Infrastructure of Service Provision for Cargo Transportation Processes  
Based on wireless networks, the vehicular communication networks can be formed spontaneously between the moving of transport means (as moving nodes) equipped with the homogeneous or heterogeneous wireless interfaces. These interfaces can use different means, for example, protocol 802.11a/b/g/n/p, World-wide interoperability for Mobile access (WiMax) influencing by newest generation mobile telephone systems (here can be mentioned 3G, 4G, 5G range protocols of mobile services), Long Term Evolution (LTE), and other service support functions [7]. Some functionality of wireless networks also is known as the Vehicular Ad-Hoc Network (VANET) are one type of the mobile ad-hoc network (MANET) applications, allowing communication between the nearby vehicles and vehicles and stationary equipment (roadside units). Following [15], the areas of vehicular communication applications can be divided into four main categories:  
* General information--multimedia services;
* Road safety and traffic monitoring services;
* Management services;
* Vehicle engine monitoring information. The class diagram of the main components of the computer-based ontology of cargo transportation process with assessing infrastructure elements is developed by using UML notation and presented in Figure 1. In this structure, we have analysed the road that can be divided into road stretches, which have different characteristics. The road stretch can be represented in more detailing style by characterising each parameter (i.e., road ID, road type, number of driving lines, connecting stationary nodes (inter-cross points, crossroads, etc. ), traffic rules, etc.). Risk is related to scenarios of accident events, influenced by types of transporting dangerous goods, and types of surroundings. The approaches of multiple complex descriptions of scenarios affect the classification them by types and can be based on the ontology of this phenomenon. The transportation network can be considered as the graph structure with a few junctions (nodes) linked one to another by several arcs (Figure 1). developing computer-based ontology. The moving nodes are used for the description of the moving transport means. However, stationary nodes will be implemented for the representation of junctions, crossroads, towns, storage areas, tool-gates, border crossing points, etc. Such stationary nodes can change the time of transportation traffics, influence delays in the network. Two junctions are connected by the arc and are characterised by the number of road stretches and the number of fatalities. The density of providing services in different regions of roads for different scenarios was analysed. There the communication between the sender and the recipient moving in the opposite directions was made. For an illustration of different parts of roads of various types, we can approximately provide the evaluation of frequency in service delivery (Table 2). Communication networks V2V and V2I have specific characteristics and properties that distinguish them from other types of networks. According to [7; 10], the following unique features were summarised:  
* High reserve of energy;
* The size of the vehicle and huge mass;
* The patterns of movement. Compared with conventional mobile devices, vehicles must have much higher energy reserves. Energy is supplied from rechargeable battery diesel, gasoline, and alternative-fuel motor. As vehicles are more massive and more extensive compared to traditional wireless devices, and therefore can support much greater and heavier computing, radio, and sensor components. \begin{table}
\begin{tabular}{c c c c c} \hline
**Conditions** & **Rural** & **Town** & **City** & **Highway** \\ \hline The average speed via nodes & Average & Low & Very-low & Very-high \\ The density of node & Low & Average & Very-high & Average or low \\ The interference & Low & Average & Very-high & Low \\ \hline \end{tabular}
\end{table}