A Prototype of IoT-Based Real Time Smart Street Parking System for Smart Cities

Tomar, Pradeep; Kaur, Gurjit; Singh, Prabhjot

doi:10.1007/978-3-319-60435-0_10

Cited by 19 publications

(10 citation statements)

References 16 publications

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“…However, the user protocol utilizes more power, and it needs to have an Internet connection to work efficiently. For example, to access or reserve a particular parking spot, the Internet is required as it is what provides real-time information on such [38]. The parking lot information in the database is dynamic and is updated to provide users with the real-time information.…”

Section: Related Workmentioning

confidence: 99%

Smart Parking Systems: Reviewing the Literature, Architecture and Ways Forward

et al. 2021

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The Internet of Things (IoT) has come of age, and complex solutions can now be implemented seamlessly within urban governance and management frameworks and processes. For cities, growing rates of car ownership are rendering parking availability a challenge and lowering the quality of life through increased carbon emissions. The development of smart parking solutions is thus necessary to reduce the time spent looking for parking and to reduce greenhouse gas emissions. The principal role of this research paper is to analyze smart parking solutions from a technical perspective, underlining the systems and sensors that are available, as documented in the literature. The review seeks to provide comprehensive insights into the building of smart parking solutions. A holistic survey of the current state of smart parking systems should incorporate the classification of such systems as big vehicular detection technologies. Finally, communication modules are presented with clarity.

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Section: Related Workmentioning

confidence: 99%

Smart Parking Systems: Reviewing the Literature, Architecture and Ways Forward

et al. 2021

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“…IoT, as an emerging network technology based on the convergence of wireless technologies, Microelectromechanical Systems (MEMS) and the Internet, could transform the mining sector by generating new methods of keeping mine safety and productivity (Qiuping et al, 2011). The features of general data perception, secure information transmission and smart information processing have accomplished the purpose of intelligent control and management (Tomar et al, 2018); IoT features offer an efficient assurance that the development of mining safety is prior awareness and precautionary progress made to avoid major accidents (Singh et al, 2018).…”

Section: Mining Safety Increasesmentioning

confidence: 99%

A Comprehensive Review on Internet of Things (IoT) and its Implications in the Mining Industry

Molaei

Rahimi

Siavoshi

et al. 2020

American Journal of Engineering and Applied Sciences

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The integration of computer-based technologies interacting with industrial machines or home appliances through an interconnected network, for teleoperation, workflow control, switching to autonomous mode, or collecting data automatically using a variety of sensors, is known as Internet of Things (IoT). When applied inside an industrial context, it is possible to immediately benefit from the analytics obtained, contributing to process optimization, machine health, the safety of workers and asset management. IoT can assist real-time platforms in remotely monitoring and operating a complex production system with minimal intervention of humans. Hence it can be beneficial for hazardous industries, such as mining, by increasing the safety of personnel and equipment while reducing operation costs. An ideal smart automated mine could potentially be achievable by gradually taking advantage of IoT. Currently, different sensors are used in mine-related activities, such as geophones in exploration and blast control, piezometers in dewatering and toxic gas detectors in working frontlines. However, a fully integrated automated system is challenging in practice due to infrastructural limitations in communication, data management and storage. Moreover, the tendency of mining companies to continue with traditional methods instead of relying on untested novel techniques decelerates this progress. In this study, the adaptability of the mining industry to IoT systems and its current development is reviewed. Significant challenges of this progress are investigated and recommendations to develop a comprehensive model suited for different mining sections such as exploration, operation and safety considering flexible technologies such as Wireless Sensor Networks and the introduction of Global Data Management.

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“…On‐line systems also fall within this category, in which the response to the user should be fast, yet not critically fast. An illustrative example is the query service on the occupation of parking lots in a Smart City [158]. While the user experience will be better the more responsive the interface of the user with the system is, it is not critical for the application at hand to comply with real‐time latency constraints. Hard real‐time systems, for which the fulfilment of ultra‐low‐latency constraints are a hard constraint, with thresholds in the order of milliseconds down to nanoseconds.…”

Section: Open Challengesmentioning

confidence: 99%