Open Data for simulation to determine the efficient management of parking spaces in Smart City

Chomiak-Orsa, Iwona; Domagała, Piotr; Greńczuk, Andrzej; Grzelak, Wojciech; Hauke, Krzysztof; Kotwica, Artur; Perechuda, Kazimierz; Pondel, Maciej

doi:10.1016/j.procs.2022.09.422

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…It is also related to the idea of smart cities, which use technology and data to improve urban efficiency [60], sustainability [61], and quality of life [62]. In smart cities, transportation systems are interconnected and optimized using digital tools such as intelligent traffic management systems [63], real-time public transit tracking systems [64], and smart parking solutions [65]. By integrating sustainable transportation options into the fabric of smart cities, such as bike-sharing programs [66] and electric vehicle charging stations [67], communities can further reduce reliance on private cars and promote environmentally friendly travel alternatives.…”

Section: Social Spherementioning

confidence: 99%

Methods and Techniques Supporting Energy and Media Savings in Maintenance of Public Transport Buses—State of the Art and Recommendations

Wieczorek,

Stecuła,

Grebski

2024

Energies

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In the article, the authors discussed the topic of energy and media savings in a public transport company. The article is of a review nature, referring to 100 sources, including scientific papers, books, conference proceedings, and websites. In the first part, a detailed literature review on environmental protection problems in road transport and methods of solving them was conducted. Subsequently, the authors reviewed the literature content on maintenance as a pro-environmental activity in transport companies. The great accent was paid to the problem of saving energy and media in the maintenance of public transport buses. Based on the literature and knowledge, the authors proposed the possibilities of conducting a rational method of managing the operation and maintenance of buses from the point of view of environmental protection, based on the strategy of predictive bus maintenance.

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Section: Social Spherementioning

confidence: 99%

Methods and Techniques Supporting Energy and Media Savings in Maintenance of Public Transport Buses—State of the Art and Recommendations

Wieczorek,

Stecuła,

Grebski

2024

Energies

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“…These IoT systems allow city planners and administrators to gain unprecedented insight into various aspects of urban life, from traffic patterns [5], the use of different sources of energy [6][7][8] and energy consumption [9][10][11] to waste management [12] and air quality [13]. The pursuit of a ubiquitous Internet and the development of urban infrastructure means that the achievements of Industry 4.0 are being used on an increasingly larger scale, leading to more and more solutions based on smart elements [14,15] and neural networks [16]. One of the rapidly developing elements of the fourth industrial revolution is artificial intelligence (AI).…”

Section: Introductionmentioning

confidence: 99%

AI-Driven Urban Energy Solutions—From Individuals to Society: A Review

Stecuła,

Wolniak,

Grebski

2023

Energies

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This paper provides a comprehensive review of solutions based on artificial intelligence (AI) in the urban energy sector, with a focus on their applications and impacts. The study employed a literature review methodology to analyze recent research on AI’s role in energy-related solutions, covering the years 2019 to 2023. The authors classified publications according to their main focus, resulting in two key areas of AI implementation: residential and individual user applications, and urban infrastructure integration for society. The objectives of this review of the literature are the following: O1: to identify trends, emerging technologies, and applications using AI in the energy field; O2: to provide up-to-date insights into the use of AI in energy-related applications; O3: to gain a comprehensive understanding of the current state of AI-driven urban energy solutions; O4: to explore future directions, emerging trends, and challenges in the field of AI-driven energy solutions. This paper contributes to a deeper understanding of the transformative potential of AI in urban energy management, providing valuable insights and directions for researchers and practitioners in the field. Based on the results, it can be claimed that AI connected to energy at homes is used in the following areas: heating and cooling, lighting, windows and blinds, home devices, and energy management systems. AI is integrating into urban infrastructure through the following solutions: enhancement of electric vehicle charging infrastructure, reduction in vehicle emissions, development of smart grids, and efficient energy storage. What is more, the latest challenges associated with the implementation of AI-driven energy solutions include the need to balance resident comfort with energy efficiency in smart homes, ensuring compatibility and cooperation among various devices, preventing unintended energy consumption increases due to constant connectivity, the management of renewable energy sources, and the coordination of energy consumption.

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Open Data for simulation to determine the efficient management of parking spaces in Smart City

Cited by 2 publications

References 4 publications

Methods and Techniques Supporting Energy and Media Savings in Maintenance of Public Transport Buses—State of the Art and Recommendations

Methods and Techniques Supporting Energy and Media Savings in Maintenance of Public Transport Buses—State of the Art and Recommendations

AI-Driven Urban Energy Solutions—From Individuals to Society: A Review

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