## 4 Conflict Resolution in the Actual Scheduling Process
The values of the items of the matrix \(M_{O}\) are calculated according to Formula (5), which can be expressed as the Cartesian product:  
\[d_{o_{ij}}=\left(Ty_{j}+Exc_{j}+Z_{j}\right)m_{i}cr_{i}}{}{}{}{}{}{}{}{}{}{}{}{} {}{}{}{}{}{}{}{}{}{}{}{}{}}{}{}{}{}{}{}{}{}}{}{}{}{}{}{}{}{}{}{}}{}{}{}{}{}{}{}{} }{}{}{}{}{}{}{}{}{}{}{}{}{}{}}  
their index \(l\) expresses the values of the data of the messages (\(m_{j}\)) for the recipient entities (\(r_{i}\)) by presenting such a matrix as (7):  
\[M_{C}=\left( \begin{array}{cccc}d_{C_{11}}&d_{C_{12}}&\ldots&d_{C_{1n}}\\ d_{C_{21}}&d_{C_{22}}&\ldots&d_{C_{2n}}\\ \ldots&\ldots&\ldots&\ldots\\ d_{C_{11}}&d_{C_{22}}&\ldots&d_{C_{1n}}\end{array} \right) \tag{7}\]  
The values of the usefulness of the contextual data messages are predicted and can be expressed by the weighting function, which assigns the values to each message that is to be passed to the recipient entity. The values of this structure can be calculated according to Formula (8) expressed as the Cartesian product:  
\[d_{C_{ij}}=\left(Ty_{j}+Hx_{j}+Exc_{j}+Z_{j}\right)m_{i}c_{r_{i}}P_{r_{i}},\;i =1,\ldots,l,\;j=1,\ldots,n \tag{8}\]  
where \(Ty_{j}\) is the set of reduced parameters. \(Ty_{j}\) is assigned values from the range [1; 2], where value 1 is assigned to messages from the comfort area and value 2 is assigned to messages from the comfort and safety area. \(Hx_{j}\) is a parameter for a special non-confidential data set from which values are assigned within the range [0, 1], by indicating whether the data should be stored historically. Experimental Research Possibilities with the NCTUns Simulation Tool for Testing the Algorithms of IASDS  
The prototype of IASDS was tested in a series of experiments using simulation methods and packages for these purposes. One of these allowed the analysis of the adaptability of the data aggregation via an evaluation of the adaptability of the provided algorithms. The algorithms (described in Section 5) were simulated using the National Chiao Tung University Network Simulator (NCTUns) modelling package, following the recommendations presented in [44; 45]. The NCTUns package enables the high-precision expression of the extensible integrated network and mobility. In addition, it includes a modelling tool and an emulator. NCTUns allows the modeling of a wide variety of protocols that are used in both wired and wireless networks. A modern kernel re-entering method allows different experiments to be undertaken with NCTUns. An intuitive user interface was used that eliminated the need for complex scriptwriting. The benefit of NCTUns and its later version (Estinet) [44] is that they can support the basic patterns of a driver's behavior. In particular, ITS researchers have focused on the functions developed in NCTUns versions 4.0 and 5.0, which allow experiments with ITS automotive networks, basic road network design, RSU modelling, and the imitation of OBUs that can be equipped with wireless IEEE 802.11 (b) infrastructure mode. In addition, the ad-hoc mode, GPRS, 802.16 (e) modelling of mobile WiMAX communication technologies, and DVB-RCST satellite communication was introduced. During the experiments, a wide spectrum of possible wireless access methods were applied. Because this modelling environment is tightly integrated, it can be used to investigate sets of complex ITS situations. This is required in the simulation of changes in the car's driving behavior after receiving a certain set of messages from the network. NCTUns version 5.0 introduced important enhancements to VANET network modelling, namely, efficient node mobility management, ultra-high volume automotive communication networks, automatic road network construction, and, most importantly, the IEEE 802.11 (p)/1609 standard for automotive communication network support. According to the purposes of the experimental research, a number of scenarios of the simulation process were carried out.