In recent years, attraction to alternative urban mobility paradigms such as electric vehicles (EVs) is increasing since EVs can significantly minimise fossil fuel dependency and reduce carbon emission in urban areas. Nonetheless, there are several barriers toward widespread adoption of EVs. Moreover, as EV penetration increases in urban areas, uncoordinated charging may cause power outage. Deployment of EV charging network can allow EVs to communicate with the service provider to coordinate charging activities. Taking into account, increased growth of EVs, number of charging facilities will be inadequate in urban areas, so efficient EV charging management is required for managing and allocating scarce charging station (CS) resources. In this study, the authors have designed and implemented a smart EV charging management system utilizing charging strategy that includes effective reservation management and efficient slot allocation of CSs. Considering composite cost that includes waiting time, estimated charging time, estimated charging cost, user discontent factor and CS congestion impact in such a method, their scheduling scheme shall furnish a set of optimal solutions. Viewing user discontent factor and average waiting time, they have evaluated performance of proposed strategy. The proposed charging strategy is effective than the existing one in terms of average waiting time.

This study proposes a lane-changing trajectory planning method for automated vehicles under various road line-types. The method uses the polynomial regression model to describe the road line-types, and then a non-linear optimisation model is constructed to generate the lane-changing trajectory based on the road polynomial functions. The process of connecting the lane-changing manoeuvre with the car-following manoeuvre is discussed in this study, which ensures the ride comfort of the ego vehicle after the lane-changing manoeuvre. Moreover, considering that the lag vehicle on the target lane may be affected by the lane-changing manoeuvre, the situation that the lag vehicle maintains the car-following manoeuvre with the ego vehicle is taken into account in the authors’ model. Another small innovation is that they have designed a simple and effective method to find the suitable initial guess for the proposed non-linear optimisation model. The simulation results show that the lane-changing trajectory generated by the proposed model is smooth and continuous, and the automated vehicle can avoid potential collisions efficiently during the lane-changing process. In emergent conditions, the proposed model can also plan the corrected trajectory to ensure safety.

The utilisation of smart streetlights is gaining more attention in urban planning, as it potentially reduces streetlights’ operation and maintenance costs, offers additional benefits in terms of safety, security, efficiency, versatility, and scalability, and sets the stage for further smart city applications. This study provides an extensive overview of state-of-the-art research on smart streetlights from various perspectives, including smart city applications, communications, control strategies, and cybersecurity, with the objective of laying down a foundation for future improvements of smart streetlight systems as well as establishing a basis for comparing existing technologies.

As a result of the pervasiveness of smartphones and improvement of context-aware systems, developers have designed and implemented a variety of context-aware tour guide systems. These systems focus on tourist attractions and provide services for tourists in order to support them before, during and after the trip. This survey aims to summarise, classify and investigate these systems from three standpoints of general, design and context-related issues. To this end, after introducing the related concepts, a framework for investigating context-aware tour guide systems is proposed. The aim is the theoretic consideration and classification of these projects with regard to distributed and pervasive computing patterns and the identification of the current situation and challenges. The proposed framework includes three axes of general, system design and context- awareness, each of which consists of some parameters. Afterwards, the existing projects are categorised according to the proposed framework. Finally, concluding remarks as well as new trends are discussed in order to illuminate future research directions.

As the high-end form of a smart education system, the smart campus has received increasing research attention over the world. Owing to the multidisciplinary nature of the smart campus, the existing research is mostly one-ended on either the state-or-the-art technologies or the innovative education concepts but lacks a deep fusion view on them and omits the smart campus implication on other smart city domains. This study highlights the interdisciplinary view on smart campus. Based on an integral review on the supporting technologies and existing smart campus propositions, a human-centred learning-oriented smart campus is envisaged, defined and framed up, primarily aiming at meeting stakeholders’ interests and elevating educational performance in pace of the technology development, as well as discussing the interdisciplinary factors that either promote or constrain the smart campus revolution. The expected contribution throughout this study is to provide a benchmark reference of a smart campus for international educational providers, government, and technological companies providing such services.