###### Abstract
The aspects of data-transfer capabilities for supporting heterogeneous services within vehicular networks [3, 8, 17], and different vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communication links with the implementation of different kinds of standardised protocols and not standardised prototype systems are analysed here. The third layer of the methodology is dedicated to the processes and the application of e-documents in freight transportation. The analysis of the performance of the Dedicated Short Range Communication (DSRC) is described by [PERSON], [PERSON], [PERSON], and [PERSON] (2011) [18]. DSRC is based on wireless network infrastructure provided for vehicle networks so named as DSRC-VANETs and devoted for delivering of messages in Cooperative Vehicle Safety Systems (CVSS), which are giving message transferring mechanism [18]. Here a network performance measure is defined, which can be used as the indicator for the success of CVSS tracking application. Such research study provides an approach and shows the possibilities of how controllable parameters (such as rate and range of transmission) affect these performance measures. Authors revealed some interesting properties of Inter-Domain Routing (IDR). It is shown that robust control of rate or range of transmission based on the relationship between IDR and channel occupancy is possible. Based on these concepts, a robust range control method is analysed and evaluated. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**The Layer of Assessment Methodology** & **Evaluation of Functionality** & **Applied Methods** & **Results under Usability for Users (Drivers, Managers) and Validation Results** & **Assessment of Horizontal Compliance with the Requirement of Sustainable Development** \\ \hline \hline \multirow{8}{*}{\begin{tabular}{c} Ill layer (cargo transportation processes) \\ \end{tabular} } & \multirow{3}{*}{\begin{tabular}{c} Assessment and the \\ evaluation of needs for \\ supporting the \\ functionality of \\ complex cargo \\ transportation \\ \end{tabular} } & \multirow{3}{*}{\begin{tabular}{c} Evaluation of data flows, between \\ supporting IS, DW, monitoring of \\ processes, transportation traffics and \\ technology during the cargo \\ transportation process. Statistical data \\ analysis for the evaluation of \\ \end{tabular} } & \
\begin{tabular}{c} Supporting the functionality of \\ optimisation of traffic, \\ selection of optimal routes, \\ information on on-going \\ processes, contingencies on \\ the roads, advance \\ information flows of \\ required documents and the \\ implementation of Doords by Road (CMR) \\ and others. \\ \end{tabular} &
\begin{tabular}{c} Implementation of \\ innovative ICT \\ conditions for the \\ provision of \\ heterogeneous service \\ for drivers and \\ information flows of \\ required documents and the \\ implementation of paperless \\ procedures. \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Cont. Another performance evaluation of information propagation in a vehicular ad-hoc network was described by [PERSON], [PERSON], and [PERSON] in 2012 [19; 20]. The authors' studies packet loss rate expected transmission distance and an adequate coverage range of a roadside station. They state that communication performances are similar under three distributions in most cases where negative-exponential distribution shows the worst performance. It can be assumed that under negative-exponential distribution, the randomness of space headway is secure; this will break down the connectivity of the communication chain. One part of our approach is related to the classification of provided services for cargo drivers by trying to provide methods for more adaptable service provision, and results are presented in the next sections.