scholarly journals Digital Transformation using Iot in Smart Environment Applications

With increasing usage of technologies and smart solutions smart cities are developed and enabled with many smart services. This paper has conducted a systematic literature review to find out IOT applications and its role in Traffic Control System. The review protocol is formulated to define some of the research questions, searching strategy, selection criteria of papers and how data is extracted. This paper contributed towards one main issue: The various research areas of Internet of Things and Role of IOT in the Traffic Control Services? All the papers were categorized by the application services of IOT and Traffic Control services they discussed. All the recent work were categorised under the application in various area like traffic and transport; Agriculture; Security; Healthcare; energy management; city infrastructure; and modes of transport. This paper reviews the various methods of traffic control system in different perspective of different IOT application areas.

1988 ◽  
Vol 15 (2) ◽  
pp. 152-156 ◽  
Author(s):  
M. Van Aerde ◽  
E. R. Case

While the basic concept of guiding individual drivers en route to their destination using on-board computers was introduced more than two decades ago, a practical implementation of this concept has only become possible as part of the current microcomputer–communications revolution. This paper assesses the potential role of these on-board route guidance systems as a means of better assisting drivers to make routing decisions and to improve the quality of the data available to the central traffic control system. The assessment indicates that the potential capabilities of these systems are controlled by the type of communications between the on-board units and the central control system, the level of on-board intelligence that is provided, and the integration of these activities within the traffic control model. Key words: traffic control, individual route guidance, driver information systems.


Author(s):  
Mashael Khayyat ◽  
Omar Aboulola ◽  
Nahla Aljojo ◽  
Basma Alharbi ◽  
Nada Almalki ◽  
...  

<span> With the tremendous technological progress and the widespread use of a variety of technologies, we note how smart cities are providing services efficiently by using technologies. The aim of this project is to build a Smart Traffic Control System (STCS) to facilitate and optimize traffic flow, minimize traffic congestion, and reduce the waiting time by detecting the density on each street. This work has been carried on four phases. Firstly, collecting data by a questionnaire and we received 331 responses. Secondly, using Proteus simulation. Thirdly, building a low fidelity prototype, and fourthly: building the STCS model by using hardware (Arduino tools) and software (Arduino Software IDE). Finally, we learned how to build a system and we recommend using such a system in busy roads to reduced congestion and making traffic flow more efficient.</span>


2020 ◽  
Vol 2020 ◽  
pp. 1-28
Author(s):  
Adil Hilmani ◽  
Abderrahim Maizate ◽  
Larbi Hassouni

Over the years, the number of vehicles has increased dramatically, which has led to serious problems such as traffic jams, accidents, and many other problems, as cities turn into smart cities. In recent years, traffic jams have become one of the main challenges for engineers and designers to create an intelligent traffic management system capable of effectively detecting and reducing the overall density of traffic in most urban areas visited by motorists such as offices, downtown, and establishments based on several modern technologies, including wireless sensor networks (WSNs), surveillance camera, and IoT. In this article, we propose an intelligent traffic control system based on the design of a wireless sensor network (WSN) in order to collect data on road traffic and also on available parking spaces in a smart city. In addition, the proposed system has innovative services that allow drivers to view the traffic rate and the number of available parking spaces to their destination remotely using an Android mobile application to avoid traffic jams and to take another alternative route to avoid getting stuck and also to make it easier for drivers when looking for a free parking space to avoid unnecessary trips. Our system integrates three smart subsystems connected to each other (crossroad management, parking space management, and a mobile application) in order to connect citizens to a smart city.


ICTIS 2011 ◽  
2011 ◽  
Author(s):  
Qin Yong ◽  
Yuqiang Lv ◽  
Dong Honghui ◽  
Tang Kun ◽  
Nie Miao ◽  
...  

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