Espoo: an intelligent city

In 2020, a European Commission initiative was launched to make cities more intelligent, socially responsible and to grow in a more sustainable way, through the use of smart technology. Here, Espoo, part of the Greater Helsinki Municipal region in Finland, shares its smart story with Johanna Hamilton AMBCS.

The drawing up of the motion schedule in the intelligent urban passenger transport system

This article is devoted to description of the basic principles of constructing a motion schedule in an intelligent urban passenger transport system based on robotic vehicles, which ensures the non-conflict motion of unmanned vehicles, in which the vehicles in front do not delay those following them. In the introduction of the article, a description of the basic problems of modern urban passenger transport systems and the formulation of the research targets are given. The section "Principles of ITS function" provides a description of the transport system concept and principles of functioning for the aim that the reader can receive a holistic view of the research subject. A basic characteristic features of this intelligent urban passenger transport system are that ITS is capable of timely adjusting to changes in demand for transportation, because processes occurring in the transport system (collection of service requests, data processing and analysis, planning and organization of transportation) are cyclical and are carried out in real time. The drawing up of the movement schedule of vehicles also occurs in real time. In the section "Drawing up a traffic schedule of vehicles" the basic principles of constructing a vehicles traffic schedule are given and their usage is demonstrated with a specific example. The introduction in usage this intelligent city passenger transport system, built on the proposed principles, will allow to get technology of passenger transportation that able to adaptive changes of number autonomous transport units that are used in transportation, depending on the demand for transportation. Such approach allows both to fully and timely satisfy the needs of passengers, and to save the resources of the transport system, what is the main aim of each passenger transport system

Modernisation of urban governance: An approach of ‘Blockchain + Big Data’

Mathematics is a prerequisite for the development of blockchain technology. The deeply penetrated mathematical ideas support the establishment of the trust mechanism of the whole blockchain system, which makes the blockchain technology autonomous, decentralised, not so easy to tamper, open, anonymous and also possesses other characteristics. Due to these characteristics, the introduction of blockchain will greatly solve a series of problems faced by the quality and acquisition of big data in cities, and release more data vitality. Based on the perspective of chain blocks and big data fusion, this paper puts forward that data are the foundation of modern urban governance. Data management has become the key to modern urban governance. It puts forward that the building of a big data management system based on blockchain will strengthen the construction of the intelligent city and modernisation of urban governance capabilities.

Design of the Wireless Network Hierarchy System of Intelligent City Industrial Data Management Based on SDN Network Architecture

With the rapid development of the industrial Internet of Things and the comprehensive popularization of mobile intelligent devices, the construction of smart city and economic development of wireless network demand are increasingly high. SDN has the advantages of control separation, programmable interface, and centralized control logic. Therefore, integrating this technical concept into the smart city data management WLAN network not only can effectively solve the problems existing in the previous wireless network operation but also provide more functions according to different user needs. In this case, the traditional WLAN network is of low cost and is simple to operate, but it cannot guarantee network compatibility and performance. From a practical perspective, further network compatibility and security are a key part of industrial IoT applications. This paper designs the network architecture of smart city industrial IoT based on SDN, summarizes the access control requirements and research status of industrial IoT, and puts forward the access control requirements and objectives of industrial IoT based on SDN. The characteristics of the industrial Internet of Things are regularly associated with data resources. In the framework of SDN industrial Internet of Things, gateway protocol is simplified and topology discovery algorithm is designed. The access control policy is configured on the gateway. The access control rule can be dynamically adjusted in real time. An SDN-based intelligent city industrial Internet of Things access control function test platform was built, and the system was simulated. The proposed method is compared with other methods in terms of extension protocol and channel allocation algorithm. Experimental results verify the feasibility of the proposed scheme. Finally, on the basis of performance analysis, the practical significance of the design of a smart city wireless network hierarchical data management system based on SDN industrial Internet of Things architecture is expounded.

The Use of IT Solutions Offered in the Public Cloud to Reduce the City’s Carbon Footprint

An important trend in today’s economy is to reduce the carbon footprint of organizations, businesses and households. Modern technologies, including ICT solutions, contribute to the reduction of CO2 production. The article focuses on the potential of using the cloud computing model in managing a modern and intelligent city. Modern city offices have an extensive IT infrastructure. With the emergence of new services provided online by the offices, the server infrastructure is also developing. Server rooms together with additional devices are characterized by high demand for electricity. Along with this, significant amounts of CO2 are produced. An alternative is the use of Cloud Computing solutions, which contribute to a significant reduction of the carbon footprint. The paper analyses potential solutions that can be used in city offices. The benefits and positive impact on the environment were highlighted. The empirical research was conducted based on questionnaires received from city offices. The results obtained indicate that city halls contribute significantly to the production of CO2. Moving IT services and solutions in whole or in part to cloud computing should be considered as one of the important elements of managing a smart and green city.

Research on Intelligent City Talent Information Fusion Management and Talent Training System Optimization Based on Data Mining

Objectives: Smart city is the product of a new round of information technology reform and the further development of knowledge economy. It is a manifestation of the deep integration of industrialization, urbanization and informatization and the progress towards a higher stage. The standardization of smart city construction must be combined with the reality of smart city construction and carry out the standardization work pertinently. Intelligent city construction is accelerating step by step. Internet technology, mobile communication technology and intelligent terminals are combined to infiltrate into all areas of social life. This paper makes full use of the concepts and technological achievements of smart city construction. From the aspects of data regulation and results building, conflict detection and contradiction coordination, results management and resource sharing. Research on the construction of multi-information information fusion visualization system for sharing, unified, efficient and dynamic updating. The open big data teaching mode is used to conduct theoretical study and practical exercises online. Let learners master the necessary knowledge and skills as soon as possible, and provide sufficient and excellent big data talents for enterprises in a timely manner.

The Smart City Ontology 2.0: Assessing the Components and Interdependencies of City Smartness

The paper is a follow-up of a previous investigation and effort to develop the ontology of the smart city (Komninos, N., Bratsas, C., Kakderi, C., and Tsarchopoulos, P. "Smart city ontologies: Improving the effectiveness of smart city applications". Journal of Smart Cities, vol. 1(1), 1-17. https://www.komninos.eu/wp-content/uploads/2015/07/2015-Smart-City-Ontologies-Published.pdf). Since the publication of this article in 2015, research and literature on smart cities have evolved significantly, as have the technologies for digital spaces and applications that support city functions. These developments are reflected in the present form of the smart city ontology 2.0 we propose. It depicts the building blocks of the smart city ontology (technologies, structure, function, planning), and the object properties and data properties that connect structural blocks and classes. The aim of the SCO 2.0 is to provide a better understanding and description of the smart/intelligent city landscape; identify the main components and processes, the terms used to describe them, their definition and meaning; clarify key processes related to the integration of the different dimensions of the smart city, mainly the physical, social, and digital dimensions. The paper is accompanied by an owl file, developing the ontology through the editor Protégé.