The problems of developing intelligent service provision systems face difficulties in the representation of dynamic aspects of cargo transportation processes and integration of different and heterogeneous ICT components to support the systems’ necessary functionality. This research aims to develop the architecture of the e-service provision system that can help in traffic management, coordination of works at trans-shipment terminals, and provide intellectual service support during intermodal transportation cycles. The objectives concern the secure application of the Internet of Things (IoT) technology and wireless sensor networks (WSNs) to monitor transport objects and context data recognition. The means for safety recognition of moving objects by integrating them with the infrastructure of IoT and WSNs are proposed. The architecture of the construction of the e-service provision system is proposed. The algorithms of identification, authentication, and safety connection of moving objects into an IoT platform are developed. The solution of application of blockchain mechanisms for the identification of stages of identification of moving objects is described by analysing ground transport. The methodology combines a multi-layered analysis of intermodal transportation with extensional mechanisms of identification of objects and methods of synchronization of interactions between various components. Adaptable e-service provision system architecture properties are validated during the experiments with NetSIM network modelling laboratory equipment and show their usability.

Smart service provision systems can assist in the management of cargo transportation. The development of these systems faces a number of issues that relate to the analysis of numerous factors, which are influenced by the properties of such complex and dynamic systems. The aim of this research was the development of an adaptable smart service provision system that is able to recognize a wide spectrum of contextual information, which is obtained from different services and heterogeneous devices of wireless sensor networks (WSNs). To ensure that the smart service provision system can assist with the analysis of specific cases of unforeseen and unwanted situations during the cargo transportation process, the system must have additional adaptability. To address the adequate provision of contextual data, we examined the problems of multi-dimensional definitions of contextual data and the choice of appropriate artificial intelligence (AI) methods for recognition of contextual information. The objectives relate to prioritizing potential service provision by ensuring the optimal quality of data supply channels and avoiding the flooding of wireless communication channels. The proposed methodology is based on methods of smart system architecture development that integrate the identification of context-aware data, conceptual structures of data warehouses, and algorithms for the recognition of transportation situations based on AI methods. Experimental research is outlined to illustrate the algorithmic analysis of the prototype system using an appropriate simulation environment.

The analysis of the risk of transportation processes shows that transportation of hazardous materials is complex process and causes a risk quite a different than that of a fixed facility. Sustainability of surroundings depends on a safe transportation, especially on the safe transportation of dangerous goods by different auto transport kinds. The aims of our research concern an approach for development of the architecture of decision support system with integrated embedded components for monitoring and evaluation of transportation processes of dangerous goods. Mobile technology provides a potentially convenient and truly ubiquitous platform for detection of the objects and the contextual information such as the location, region awareness, etc. A location based reminder application runs on wireless equipments. Reminders can be more helpful when rich contextual information is used to present necessary information at appropriate time moments in appropriate places. Devices sense and interact with their physical environment through sensors. In general terms, any aspect of the device that enables it to sense and interact with its physical environment may be considered as a sensor. The combination of web service protocols (e.g. SOAP) with session initialization protocol (SIP) enables P2P accessibility by introducing sensor's listener and context retriever as programming components in the developing communication architecture of servers and users. We are using an appropriate interface structure (components, scenarios) for service control, and integrate data‐mining, knowledge‐based techniques for recognizing a concrete situation of the moving object. The integration of distributed information systems and the means of wireless communication systems (i.e., programming components, protocols, sensors, and devices) are needed. The paper describes an approach of designing the architecture of the system that uses wireless technologies for monitoring dynamic objects with implementation of probabilistic methods for evaluation of risk of possible types of scenarios of accident events which can occur in transportation of dangerous goods. Some wireless protocols are used in establishing the object's geographical coordinates, monitoring and fixing the state behavior of the moving dangerous transportation objects. Santrauka Transporto srautų ir avarijų keliuose daugėjimas verčia nagrinėti pavojingųjų krovinių transportavimo problemą sisteminiu – daugiakompleksiniu požiūriu, nustatant galimos rizikos sritis ir pasiūlant operatyvaus valdymo metodus. Transportuojant krovinius, vežančius pavojingas, taršias medžiagas, išauga aplinkos taršos rizika, susijusi su judančių transporto objektų įvykiu pasireiškimo tikimybiniu padidėjimu ir atitinkamu pasekmių galimybėmis. Tikėtinos taršos rizika įgyja daugiafunkci pobūdį ir yra sudėtingesne nei rizikos vertinimas stacionarių objektų aplinkoje. Darnios aplinkos vystymo reikalavimai verčia užtikrinti saugius transportavimo procesus ir ypač saugu pavojingųjų kroviniu transportavimą skirtingose autotransporto priemonėse ir teritorijose. Todėl gana svarbu sukurti tinkamą sprendimus palaikančią aplinką, kuri padėtų stebėti ir operatyviai vertinti transporto objektus, vežamų cheminių medžiagų būkle, kelio ruožų avaringumą. Ypatinga reikšmę įgyja transportavimo kelyje išsidėstančių teritorijų statusas ir padėtis. Šiam tikslui tenka ieškoti metodų, tinkamų vertinti pavojingųjų krovinių transportavimo procesus ir juos aprašyti sprendimų paramos sistemoje (SPS). Mobiliosios technologijos padeda nustatyti objekto būvimo vietos informaciją, leisti sieti ją su vietovės informacija, taikyti atitinkamus jutiklių rodmenis. Vietovės nustatymas grindžiamas priminimų paslauga ir veikia belaidžiuose įrenginiuose. Priminimai gali būti naudingi, kai kontekstinė informacija pateikiama tinkamu metu ir tinkamoje vietoje. Prietaisų jutikliai sąveikauja su fizine aplinka per sensorius. Straipsnyje siūlomi sprendimai, kaip projektuoti atitinkamas sąsajos struktūras – sprendimų paramos sistemų įterptinius komponentus, scenarijus, vykdymo paslaugų kontrolė judančio objekto konkrečiai situacijai atpažinti ir valdyti. Įmontuotoje SPS taikomi išskirstytųjų informacinių sistemų ir belaidžio ryšio sistemų sąveikos komponentai, t. y. programavimo moduliai, protokolai, sensorinių duomenų analizė. Straipsnyje aprašomas SPS projektavimo procesas, pasitelkiant belaides technologijas dinaminiams objektams stebėti, susijusiems su pavojingųjų krovinių transportavimu. Siūloma taikyti bevielio ryšio protokolus nustatant geografines objekto koordinates, pateikiant įspėjimus apie judančio pavojingojo transporto būsena ir galimu prognozių rezultatus panaudoti operatyviam objekto valdymui.

The aim of this research is forwarded for assessment of provision possibilities of the multi-componential and heterogeneous services in the fast-changing topology of cargo transportation processes. The mobile intelligent services in current transport means require the development of complex infrastructure for multi-compositional service support. Our objectives are related to the investigation in data-transfer capabilities for heterogeneous service support, which is offering some improvements for developing the infrastructure of transportation of vehicles and helping in the administration of transport processes. This research aims to develop an approach for the assessment of infrastructure for sustainable management of cargo transportation processes by roads. Such assessment is multi-layered by including the management possibilities of cargo transportation logistic processes and electronic (smart, mobile) services using current innovative software and hardware of information communication technologies (ICT). Special attention is paid for road safety, more environment cleanable, and paperless management by assessing the integration of potentials and prospects of wireless, vehicle ad-hoc communication networks (VANET), and other communication possibilities. Some requirements are revealed for such type of infrastructure for the provision of heterogeneous services. The results of the development of infrastructure demonstrate the capacities of the potential of wireless networks for the provision of high-level of multi-component, heterogeneous services.