A Reference Architecture for Context-Aware Intelligent Traffic Management Platforms

2018 ◽  
Vol 14 (4) ◽  
pp. 65-79
Author(s):  
Zeenat Rehena ◽  
Marijn Janssen ◽  
Samiran Chattopadhyay

Smart cities have been heralded for improving traffic management by utilizing data for making better traffic management decisions. Multi-sided platforms collect data from sensors and citizen-generated data on one side and can provide input for decision-making using data analytics by governments and the public on the other side. However, there is no guidance for creating developing Intelligent Traffic Management Systems (ITMS) platforms. The involvement of various actors having different interest and heterogeneous datasets hampers development. In this article, the authors design a reference architecture (RA) to support intelligent traffic management systems for providing better a commute, and safety and security during travel based on real-time information. The main three layers of this RA are datasets, processes, and actors. The RA for ITMS provides guidance for designing and overcoming the challenges with: 1) heterogeneous datasets; 2) data gathering; 3) data processing; 4) data management; and 5) supporting various types of data users. The illustration and evaluation of the architecture shows possible solutions of the aforementioned challenges. The RA helps to integrate the activities performed by the various actors. In this way it can be used to reduce traffic queues, increase the efficient use of resources, smooth and safe commute of the citizens.

Author(s):  
Jens Kohler ◽  
Thomas Specht

Current revolutions with respect to big data affect people's everyday life more and more. New ways of living, communication, and knowledge sharing have been created under the smart city umbrella. Information and communication technologies (ICT) are used to improve urban services. Examples are car sharing, energy consumption, adaptive traffic management, etc. A closer look at these services reveals that data, produced and consumed by people (or automatically by devices), are the cornerstone for working and reliable urban services. For this, large volumes of data with a great variety have to be processed at a high velocity which is commonly known as big data. This chapter designs a secure, distributed, and reliable cloud-based reference architecture that logically separates confidential data and distributes them to various databases in different clouds. It increases the reliability of the distributed data with high-availability mechanisms to protect data against various threads (e.g., hackers, terrorists, data collecting companies, etc.).


2020 ◽  
Vol 107 ◽  
pp. 102265
Author(s):  
Geraldo P. Rocha Filho ◽  
Rodolfo I. Meneguette ◽  
José R. Torres Neto ◽  
Alan Valejo ◽  
Li Weigang ◽  
...  

Author(s):  
Jens Kohler ◽  
Thomas Specht

Current revolutions with respect to big data affect people's everyday life more and more. New ways of living, communication, and knowledge sharing have been created under the smart city umbrella. Information and communication technologies (ICT) are used to improve urban services. Examples are car sharing, energy consumption, adaptive traffic management, etc. A closer look at these services reveals that data, produced and consumed by people (or automatically by devices), are the cornerstone for working and reliable urban services. For this, large volumes of data with a great variety have to be processed at a high velocity which is commonly known as big data. This chapter designs a secure, distributed, and reliable cloud-based reference architecture that logically separates confidential data and distributes them to various databases in different clouds. It increases the reliability of the distributed data with high-availability mechanisms to protect data against various threads (e.g., hackers, terrorists, data collecting companies, etc.).


The current modern year shows quick growth in metropolitanization and population growth of the world that causes various impacts on environmental, social and economic problems. The problems aroused in society influence the livelihood of the people and excellence of existence. “Smart City” passes many opportunities to resolve these urban inconveniences and unsolved issues. The chief fact of a smart city is to create the finest use of resources gathered from the public, make available with reliable services to the citizens with enriched quality and efficiently enhance the day to day life standard of peoples. In the smart city establishment Information and Communication Technology (ICT) shows greater impact. Block chain is a intensifying technology with many excellent aspects likely intelligibility, automation and security. A characteristic of block chain is supportive in improving the standard services and advances the expansion which applies information technology that integrates several areas of interest. Block chain manages the business, physical and social infrastructures to provide effective services to needed users. With the advancement of technologies namely interconnected networks, cloud computing and the Internet of Things (IoT), for smart cities can carry creative as well as novel solutions. Smart cities can offer people with interface and association between the general public as well as the local government. Despite several possible remunerations, digital interruption postures many objections related to privacy and along with information security. Here in this paper, we discussed in detail about blockchain technology and the security framework that assimilates the smart devices and blockchain technology together.


2019 ◽  
Vol 8 (3) ◽  
pp. 3220-3224

With the growth in urbanization and consumption of resources the problem of trash and waste production has also gone up. This is becoming a cause of concern and especially in developing countries where there are no or very less efficient waste management systems in place. Due to the problem of littering and inefficient garbage disposal systems overflow of garbage is common which leads to air and land pollution. The systems currently in-place in developing countries are not efficient and garbage collection trucks have no way to get the real-time information of garbage cans and because of the wide span of a city many garbage cans remain empty and others don't get collected thus it leads to overflow. The goal of this project is to solve the problem of overflowing of garbage, littering, and inefficient garbage disposal systems with the help of device created using the Internet of Things (IoT) to provide efficient routes and trash separation, thus reducing the cost and increasing time efficiency. The device will also help in separating the metallic and non-metallic waste into separate bins, further considering the most filled garbage bins and providing an efficient route with their locations


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1204
Author(s):  
Elżbieta Macioszek ◽  
Damian Iwanowicz

In smart cities, it is expected that transport, communication as well as the movement of people and goods will take place in the shortest possible time while maintaining a high level of safety. In recent years, due to the significant increase in the number of passengers and vehicles on the road and the capacity limitations of transport networks, it has become necessary to use new technologies for intelligent control and traffic management. Intelligent transport systems use advanced technologies in the field of data gathering, information processing, and traffic control to meet current transport needs. To be able to effectively control and manage road traffic, it is necessary to have reliable mathematical models that allow for a faithful representation of the real traffic conditions. Models of this type are usually the basis of complex algorithms used in practice in road traffic control. The application of appropriate models reflecting the behavior of road users contributes to the reduction of congestion, the vehicles travel time on the transport network, fuel consumption and the emissions, which in turn support broadly understood energy savings. The article proposes a model that allows for the estimation of the maximum queue size at the signal-controlled intersection approach (so-called: maximum back-of-queue). This model takes into account the most important traffic characteristics of the vehicles forming this queue. The verification allowed for the conclusion that the proposed model is characterized by high compliance with the actual traffic and road conditions at the intersections with signal controllers located in built-up areas in Poland. The obtained compliance confirms the possibility of using the model for practical applications in calculating the maximum back-of-queue at signal-controlled intersections located in built-up areas in Poland.


2021 ◽  
Vol 5 (2) ◽  
pp. 26
Author(s):  
Silvia Fernandes

Many activities and sectors have come to a halt due to the COVID-19 crisis. People and workers’ habits and behaviors have changed dramatically, as the use of technologies and connections, virtual reality, and remote support have been enhanced. Businesses and cities have been forced to quickly adapt to the new challenges. Digital technologies have allowed people to have better access to public services due to improved use of resources. Smart cities have significant potential for linking people to work and services as never done before. Additionally, the technological convergence produces data that can enhance interactions and decisions toward the “new normal”. In this paper, the aim is to assess how Portugal is prepared to respond to the accelerated process that this context demands from cities. Portuguese SMEs have developed a good capacity for entrepreneurship and innovation; however, they are still behind in converting the knowledge acquired in sales and exports and there is still limited collaboration at the public-private level. The acceleration of smart cities through the Internet of Things (IoT) may encourage changes in these issues. A more assertive alignment between the emergent technologies and the digitization goals of companies is required. This paper opens a discussion around major needs and trends of IoT (and related technologies) since the pandemic has leveraged them. The relationship between innovation and city smartness is approached to assess main contributing and limiting variables (through the European Innovation Scoreboard), to clarify future directions toward smarter services. The tourism sector, as the largest export economic activity in the country, is addressed in this matter. An analytical framework (using, for example, Power BI and Azure IoT Hub) around this approach can choose and support the most suitable areas of development in the country.


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