IET Smart Cities最新文献

Smart cities equipped with intelligent devices can enhance the lifestyle and quality of humans by automatically and collaboratively acting as a sustainable resource to the ecosystem. In addition, the technological advancement can be further empowered by interconnecting various types of technologies, such as IoT, Artificial Intelligence, drones and robotics which will clearly improve the Quality of Services, energy efficiency and connectivity to the overall system. The integration of drones hovering over smart cities with the other devices in the smart city network brings a lot of benefits. However, it can also lead to various security and privacy concerns in the network. The aim of this article is to put forward a secure and safe smart city communication environment by proposing a trust establishment scheme for the ad hoc Unmanned Aerial Vehicles network. In which, malicious devices can be traced and blocked by analysing and evaluating their historical interactions within the system and calculating their trust values. A behaviour-based and local trust value scheme is used to analyse the trust of each communicating device that is further associated with a blockchain distributed ledger. The proposed mechanism is measured over various networking and security metrics, including throughput, latency, accuracy and block updating compared to the existing state-of-the-art solutions.

The continuous development of modern information and communication technologies is driving the smart revolution in the global education system. The outbreak of the COVID-19 pandemic has recently posed unprecedented challenges to educational institutes. The education informatisation technologies are playing a vital role to ensure the continuity and enhance the performance of education during the pandemic, which accelerates the integration of cutting-edge technologies and thus the overall development of the smart campus. Alongside the technological advancement, the existing studies indicate that the success of smart campus development mainly depends on three key dimensions: technology capability, sustainability, and student health and well-being. However, the state-of-the-art assessment on smart campus are mostly unilaterally dependent but lack a balanced evaluation of the three dimensions. To bridge this gap, this paper proposes a hybrid assessment framework that integrates all three key aspects, aiming to provide a multi-dimensional view of campus smartness for human-centred sustainable development. The smart campus assessment index resulting from the proposed framework is constructed under a limiting factor formulation to jointly model the individual contributions from the three dimensions as well as their trade-off relationship. The contribution from each dimension is the weighted normalised sum of a set of precisely selected indicators. A case study is also conducted on the historical data of a US university to investigate the effectiveness of the proposed framework and the assessment index in response to the COVID-19 pandemic, which also demonstrates the rationality of the hybrid framework for smart campus assessment.

It is presumed that rapidly growing ‘hot cities’ adapt their planning and operations to meet their evolving population's needs. These presumptions inspired the development of the following mixed-method, convergent parallel study. Data from urban planning officials across nine rapidly growing ‘hot cities’ were collected through pre-interview surveys and qualitative key-informant interviews. Thematic analysis was used to identify salient issues regarding awareness and perception of rapid population growth and the resulting response from their departments. Results indicate two main themes; Multidimensional Strain and Mitigation Strategies describe city experiences with rapid population growth effects and response. Across cities, urban planners expressed similar experiences of stress on land usage, housing, transportation, programing, and service delivery. Similar response patterns included evaluation and innovation of growth management strategies, enhanced collaboration, and equity considerations. This snapshot of rapid population growth repercussions and current city mitigation strategies may have future implications for public health and urban planning administrators in practice. Results shared also indicate how population data use and sharing can support Mitigation Strategies and impact community health.

There are many indexes and ranking bodies on Smart Cities. However, most of these rankings have their own specific evaluation criteria and ranking methodologies. Currently, there are no uniformly and universally accepted methods for comprehensive and fair evaluation of smart cities. This is a problem as no ranking is widely accepted and universally agreed upon. This not only creates chaos but also confusion as to what indexes to follow. In this paper, 6 current smart city indexes (IMD-SUTD Smart City Index, AT Kearney Global Cities Index, IESE Cities in Motion Index, EasyPark Cities of the Future Index, Mori-Foundation Global Power City Index and Smart EcoCity Index) produced by major organisations are examined, discussed, and compared. Commonalities and differences are highlighted, revealing insights into the accuracy, comprehensiveness, shortcomings, acceptance and usage of these indexes and rankings. Finally, new evaluation factors are suggested and the rationale behind them are provided, in addition to the essential 8 criteria of economy, governance, technology, health, transport, environment, living and sustainability.

Scientific planning, digital management of construction and intelligent service are needed for a smart city. This paper focusses on city management based on the smart information system and digital technologies in China. The establishment of the smart intercommunication system of landscape, water conservancy, environmental protection and other industries is basic for a smart city. This paper introduced a framework of digital technologies for the construction of a smart city, which made full use of the city information modelling based on the geographic information system, building information modelling, internet of things, and integrated digital system and service platform such as satellite remote sensing, global navigation satellite system, mobile applications, cloud computing, visualisation technology etc. The study of the case implemented show that the framework is applicable to the smart city with digital technologies that includes the data model and system, integrating the urban basic geographic data, and data of infrastructure and other public facilities related to traffic, urban construction, ‘One Map’ of land and resources etc. The governance is more effective through data acquisition, data transmission, data analysis and processing based on the data platform and system.

More European countries seriously depend on oil supplies from Russia primarily via one pipeline, which makes energy security weaker. This energy balance brings a massive problem for the import intensity; therefore, e-mobility might be a potential solution for the trade deficits of many European countries. Battery Electric Vehicles and Plug-In Hybrid Electric vehicles have been introduced within the priorities of the EC but also by car manufacturing companies worldwide. By 2050, massive growth of Electric vehicles (EVs) is expected, and significant changes in favour of electric cars have to be observed in new car sales till 2030. The article's main objective is to investigate whether and to what extent new sales of e-cars bring lower oil imports to Slovakia. The authors use three scenarios (based on regression models) differentiating market force intensity and regulation stringency till 2030. The significant findings of the models provide an estimated number of EVs on Slovak roads in 2030 and significant oil import cuts stemming from oil import substitution. The conclusion suggests that by 2030, Slovak oil imports will only slightly decrease due to e-mobility penetration, even in the most optimistic scenario.

Traffic congestion and road intersection management have become a significant issue, mainly with the highly increasing number of vehicles in cities. There is a common belief from vehicle drivers that installing traffic lights with some consideration of traffic flows will be dominant in traffic movements. This article proposes a novel system for Urban Traffic Control (UTC) with a continuous dynamic environment adaptation to improve traffic flow on large cities' network roads. The proposed system introduces vehicle counting method, lane evaluation of the current status and controlling method considering the effect on the whole traffic network—not just the intersection itself—to provide an efficient traffic scheduling. The main objective of the authors’ system is to reduce traffic jam, by reducing waiting time and trip time for vehicles at intersections. Some indicators and models are introduced in this work to assign traffic flow schedules with minimum traffic congestion and vehicle waiting time. These indicators and models include a traffic jam indicator, vehicle priority and lane weight. A multi-agent urban traffic control system is proposed as the simulation environment using NetLogo simulator. (A total of 150) Vehicles are generated with random behaviour distributed over 25 intersections for 9 h duration to compare the normal fixed cycle traffic light and the authors’ smart traffic control. Results show a reduction in the total average waiting time of all vehicles for the simulation period by more than (29.98%). Hence, it is more suitable for the complexity of the current traffic condition with minimum changing infrastructure.

Japan has long embarked on the city transformation journey, from green city to eco city, ubiquitous city, sustainable city, and now zero-emission city. A smart city is not considered smart if it is not green, not sustainable, and not environmentally friendly. The journey is long but progressive, and the Japanese government has been supportive in its city transformational efforts. Japanese cities are marked by distinctive local cultures, habitat, people, food, beliefs, history etc. From Tokyo to Osaka, Nagoya, Fukuoka, Kobe and Yokohama, cities in Japan have advanced into high levels of urbanisation. The increase in population and traffic utilisation have resulted in higher energy demands and pollution of the environment. These concerns have motivated Japan to strive for cities with zero-emission and Tokyo, as the country's capital, will lead in this drive. The author outlines the current situation in Japan, the impact of global warming and climate change, presents the motivation behind the new strategy, and narrates and discusses Tokyo city’s zero-emission strategy and execution plans and how it works towards achieving net zero by 2050.

Fossil-fuelled vehicles are being replaced by electric vehicles (EVs) around the world due to environmental pollution and high fossil fuel price. On the one hand, the electrical grid is faced with some challenges when too many EVs are improperly integrated. On the other hand, using massive unexploited capacity of the battery storage in too many EVs makes these challenges to opportunities. This unused capacity can be employed for the grid ancillary services and trading peer-to-peer (P2P) energy. However, the preference of EV users is one of the most important factors, which has to be considered within the scheduling process of EVs. Therefore, this paper proposes a stochastic model for EVs bidirectional smart charging taking into account the preferences of EV users, P2P energy trading, and providing ancillary services of the grid based on blockchain mechanism. Considering the preferences of EV users makes the proposed scheduling model adaptive against changing operating conditions. The presented model is formulated as an optimisation problem aiming at optimal management of EV battery state of charge and energy placement of several services considering the provision of ancillary services and contributing to P2P transactions. To evaluate the proposed model, real-world data collected from Tehran city are used as input data of simulation. Numerical results demonstrate the efficacy of the presented model. Simulation results show that considering the preferences of EV users in the proposed model can enhance the total income provided by the EV energy-planning model such that it could balance the charging cost. Moreover, this advanced user-based smart charging model increases P2P energy transactions amongst EVs and raises the ancillary services facility to the grid.