## 2 Review of Related Works and Analysis of Unsolved Problems
The concept of \"Context Quality\" (QoC) was established by [33] and can be interpreted as \"_a set of parameters that reflects the quality requirements and properties of context data_\" [34]. We are concerned with interdisciplinary concepts, and the interpretation of these concepts for the construction of AI systems, which have special abilities to combine the methods from behavioral science, operating and embedded systems, communication networks, and other fields. This creates a large gap between the high requirements for the creation of such systems, due to the complexity of working mobile systems, services, and operations, and the context that is derived from the environment. Due to the conditions of the heterogeneity of devices, a high level of mobility and changing topology requires the high quality of management of contextual information. Achieving this is extremely complex, and the errors and issues related to partial information can be significant. Applications can take the contextual information from the context-aware modules and adapt their actions by following the changing context needs [36]. The management of contextual data, which are specified by the usage of a fast-changing topology under the conditions of the dynamically changing environment of transportation processes, and implementing the data from sensors that work under the background of vehicular communication networks, is challenging due to several factors [37]: \begin{table}
\begin{tabular}{c c c} \hline \hline
**The Domain of Analysis of the Context** & \begin{tabular}{c} **Definition and Analyzed Aspects of the** \\ **Context in Transportation** \\ \end{tabular} & **Works of Authors** \\ \hline Surroundings and people factors & \begin{tabular}{c} Location and identity of surroundings, people, \\ and objects, and changing objects \\ \end{tabular} & [26] \\ \hline Localization and meteorological & \begin{tabular}{c} Location and identity of people around the \\ user, time of day, time of year, temperature, etc. \\ \end{tabular} & [27] \\ \hline Conceptual definition & \begin{tabular}{c} Set of entities that interact physically with \\ conceptual states \\ \end{tabular} & [28] \\ \hline Application factors & Application settings & [29] \\ \hline Environmental surroundings & \begin{tabular}{c} Environment reification, or anything that \\ describes the surrounding environment in \\ which the system performs \\ \end{tabular} & [30] \\ \hline Environmental factors & \
\begin{tabular}{c} Time, environment, product, and company \\ information \\ \end{tabular} & [31] \\ \hline Circumstantial factors &
\begin{tabular}{c} A set of circumstances or facts that surround a \\ particular event or situation \\ \end{tabular} & [32] \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Review of the analyzed aspects of the contextual information related to transportation. * _\"Context becomes important due to the high mobility of nodes._
* _Some kinds of context information are intricately linked with physical locations. But it may be challenging to update this information due to the repeating disconnection of nodes from the source of context._
* _Relevance of temporary context is caused by dynamic changes and context gets temporary importance due to specifics of the dynamic transportation situations.\"_  
In services of V2V communication (in which ad-hoc networks can be created), the context may be ambiguous and redundant because, during the service provision process in ad-hoc networks, it is difficult to regulate the flow of contextual information. These problems were described in [38], in which the context state is analyzed as the collection of current sensor readings. The methods used to recognize contextual information have multi-attribute and multi-dimensionality properties. The multi-attribute utility theory (MAUT) was proposed by [39] for integration of heuristics rules and experts' experience. Decision support systems commonly use the implementation of methods of weighting the parameters when it is possible to describe dynamic situations.