This work is aimed to describe a cognitive traffic management system (CTMS) based on the Internet of Things approach. Telecommunication technologies, which can be used for the system development and deployment, are analyzed. Smart traffic light integration is proposed as a replacement of the existing traffic lights. The main purpose of such replacement is to optimize traffic management processes which are made by government authorities. Smart traffic light integration excludes mistakes caused by human factor. Proposed approach can be used as a part of e-government system in further.

The issue of security is a global problem and manifests itself in many areas. One of these areas is the cyber-physical-social system. Physical and virtual threats are always in the spotlight. The main security issues here are related to network threats. Here is a theoretical overview of the concept of the cyber-physical system, the cyber-physical-social system and its components, and other technologies related to CPS. The issues of incident management and incident response plan are also considered separately.

Quantum data structures, methods, algorithms and software applications for parallel solution of combinatorial problems, including design and test, on classical computers by using extra memory are proposed. Quantum models and methods for design and test of specific logic functionalities are developed based on the use of vector qubit data structures and memory-driven architectures for parallel computing algorithms, in order to significantly improve the performance of testing and deductive simulation of digital systems-on-chips. A new quantum method of test generation for single stuck-at faults of logic functions through taking Boolean derivatives with respect to their qubit coverages is proposed. The quantum method of deductive simulation of stuck-at faults of logical functions through the synthesis of matrices of Boolean derivatives with respect to their qubit coverage has been developed. The performance of methods for test synthesis and their analysis has no analogues in algorithmic performance.

The new cyber-technological culture of the transport control based on virtual road signs and streetlight signals on the screen of car is the future of Humanity. A cyber-physical system (CPS) Smart Cloud Traffic Control, which realizes the mentioned culture, is proposed; it is characterized by the presence of the digitized regulatory rules, vehicles, infrastructure components, and also accurate monitoring, active cloud streetlight-free cyber control of road users, traffic lights, automatic output of operational regulatory actions (virtual traffic signs and traffic signals) to monitor of each vehicle. The main components of the cyber-physical system are the following: infrastructure, road users and rules, which have digital representation in cyberspace to realize a route, based on digital monitoring and cloud mobile control. We offer innovative services, which implement digital monitoring and cloud control as a scalable prototype of a global system that uses the following technology: precise positioning of moving and stationary objects, digital cartography, cyber-physical systems and Internet of Things, Advanced Wireless Communication and Big Data Analytics. The basic idea is to improve the quality and safety of traffic through the implementation of metric regulation of traffic, based on digital monitoring and active cloud cyber control, and also the use of intelligent virtual traffic lights and signs, which gives an opportunity to significantly improve the comfort of a car trip, reduce the overhead in time and cost of route execution. Components for the implementation of global cloud traffic control services are the following: 1) Smart is the definition of the process or phenomenon associated with the network interaction of the addressable system components in time and space between themselves and the environment, based on self-learning technologies to achieve their goals. 2) The Smart Cyber-Physical System is a set of communicatively connected to the network addressable virtual and real components in the digitized metric space with features of adequate physical monitoring, optimal cloud control and self-learning in real time to achieve their goals. 3) Internet of Things is a structure of cyber-physical systems, combining the centers of large data, knowledge, services and applications aimed to monitor and control of smart processes and phenomena in the digitized physical space by using the sensors actuators to provide high standards of living and saving the planet environment. 4) Computing is a branch of knowledge, focused on research, design and application of systems, networks and cloud-mobile services for monitoring and control of cyber-physical processes and phenomena. The development of computing, the main function of which is cyber control, should only be considered in conjunction with the real or the physical world, a part of which is humanity. There is interaction between the two worlds, the real and the virtual ones: humanity always poorly manages the real world and creates computing as his assistant. As a perfect mechanism, computing takes control of technological processes in humanity. 5) The market feasibility of the global cloud services for traffic control without physical infrastructure, traffic lights and road signs is at least 100 billion dollars. The economic effect of the transfer of road infrastructure in cyberspace, including the license plates is 500 billion dollars a year.

An infrastructure for parallel analyzing big data in order to search, pattern recognition and decision-making based on the use of the Boolean metric of cyberspace measurement is proposed. It is characterized by using only logical xor-operation for determining the cyber-distance by means of cyclic closing at least one object, which allows significantly increasing the speed of analysis of large data. A new approach to vector-logical big data processing based on the total removal of arithmetic operations, which impact on the performance and hardware complexity, is offered, the approach can be efficiently implemented based on modern multiprocessor digital systems-on-chips and virtual parallel processors, operating under the control of cyber-physical systems or cloud service-filters. A qubit-vector model of computing automaton is proposed, it is characterized by the transactional interaction of memory components, which represent the combinational and sequential elements and are implemented in the form of a qubit or "quantum" primitives needed to create parallel virtual computers and cloud-focused processors. A new structural model for analyzing big data is developed, it is characterized by the use of cloud services, cyber-physical and search systems, virtual parallel multiprocessors with a minimal set of vector-logical operations for accurate information retrieval based on the proposed Boolean metric and non-numerical quality criteria, which makes it possible to create a semantic infrastructure of cyberspace by the competence classification and metric ordering big data across the cyber-ecosystem of the planet.