## 2 Review of Related Works and Analysis of Unsolved Problems  
The development of new kinds of services for transportation support is related to the development of ITSs and the spread in the implementation of the advanced functions of ICT [4; 15]. New kinds of wireless sensor systems equipped at the roadside and in vehicles have been applied to the management and control of transport processes [16; 17; 18; 19; 20; 21]. However, an adaptable interaction between transport processes and the infrastructure of roadside units (RSUs) requires further research, with particular attention paid to smart and autonomously working subsystems. Vehicle ad-hoc networks (VANETs) [20] can be deployed in a number of ways, some of which are supported on methods of long-distance communication, based on mobile protocols such as 4G, 5G, or 6G networks [22; 23; 24]. Forms of short-range technology, such as Wi-Fi and/or DSRC, are also used. Various types of sensors can be integrated into vehicles for engine, human health, and environmental monitoring. Sensors have become providers of multi-dimensional monitoring data. Sensors can also be used as information gathering sources, and thus collect contextual information, which can be related to the cargo transportation and management processes. The integration of heterogeneous types of sensors can be included in the monitoring systems of the cargo transportation process. Our focus is on the following:  
* Physical sensors for environment monitoring;
* Sensors for monitoring the working regimes of vehicles;
* Human health monitoring sensors. The integration of sensors into the development of adapters for inclusion in smart service provision subsystems using the Geographical Positioning System (GPS) and geographical information system (GIS) has become popular. Sensors in the infrastructure of RSUs assist in the monitoring of transport and traffic information, provision of hazard warnings, recording interactions with other cars, e-calls for warning and information provision, etc. In the research of the development of advanced systems, the authors have offered several solutions for the development of adaptive service systems [3; 7; 8]. The problems related to gathering information from the environment and dissemination in dynamic environments are presented in [25]. Monitoring data must be linked to a higher level of representation via the level of ontology and other mechanisms of knowledge extraction. Questions regarding the understanding of the context have arisen in numerous research studies [18; 21; 26]. The definitions of context diversity and a short review of this analysis are presented in Table 1. Other authors have similarly defined the context, but with different interpretations. The concept of \"context\" is very broad. We analyzed these proposals of contextual data definitions according to the possibilities of integrating them into our system. The presentation of the broad spectrum of multi-dimensional aspects of contextual information with the intention of representing them in the smart service provision system allows the scope of recognition of this information to be extended. V2V communication service provision is subject to a number of problems, i.e., the assessment of the quality of the gathered information and flooding of wireless channels [32; 33; 34; 35]. A wide spectrum of communication protocols can be chosen in the architecture for gathering, transmitting, and dissemination of information. The requirements for IoT applications involve several aspects, such as adaptability, ingenuity, and flexibility [35]. However, we restricted our scope and did not analyze a variety of communication protocols. Regarding communication channels, our focus is on addressing the problem of flooding wireless channels caused by the provision of services. This approach concerns the evaluation of the priorities for service provision, with the purposes of ergonomics, safety for transportation, necessity, and adaptation.