Browsing by Author "Krejcar, Ondrej"

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Citation - WoS: 263
Citation - Scopus: 410
Future Trends and Current State of Smart City Concepts: A Survey
(Institute of Electrical and Electronics Engineers Inc., 2020) Ayca Kirimtat; Ondřej Krejcar; Attila Kertesz; M. Fatih Tasgetiren; Krejcar, Ondrej; Tasgetiren, M. Fatih; Kertesz, Attila; Kirimtat, Ayca
Intelligent systems are wanting for cities to cope with limited spaces and resources across the world. As a result smart cities emerged mainly as a result of highly innovative ICT industries and markets and additionally they have started to use novel solutions taking advantage of the Internet of Things (IoT) big data and cloud computing technologies to establish a profound connection between each component and layer of a city. Several key technologies congregate to build a working smart city considering human requirements. Even though the smart city concept is an advanced solution for today's cities recently more living spaces should be discovered and the concept of a smart city could be moved to these alternative living spaces namely floating cities. The concept of a floating city emerged as a novel solution due to rising sea levels and land scarcity in order to provide alternative living spaces for humanity. In this article our main research question is to raise awareness on the current state of smart city concepts across the world by understanding the key future trends including floating cities by motivating researchers and scientists through new IoT technologies and applications. Therefore we present a survey of smart city initiatives and analyze their key concepts and different data management techniques. We performed a detailed literature survey and review by applying a complex literature matrix including terms like smart people smart economy smart governance smart mobility smart environment and smart living. We also discuss multiple perspectives of smart floating cities in detail. With the proposed approach recent advances and practical future opportunities for smart cities can be revealed. © 2020 Elsevier B.V. All rights reserved.
Citation - WoS: 6
Citation - Scopus: 10
Multi-performance based computational model for the cuboid open traveling salesman problem in a smart floating city
(PERGAMON-ELSEVIER SCIENCE LTD, 2021) Ayca Kirimtat; Ondrej Krejcar; M. Fatih Fatih Tasgetiren; Enrique Herrera-Viedma; Krejcar, Ondrej; Herrera-Viedma, Enrique; Tasgetiren, M. Fatih; Fatih Tasgetiren, M.; Kirimtat, Ayca
The term ?smart city? has been emerged as a novel solution to uphold the useless urban areas and the term has taken the advantage of sustainable and environmental resources. On the other hand the term ?floating city? has been studied for just only a few years as alternative living spaces for humanity across the world since land scarcity has already begun. Therefore in this research we propose multi-objective optimization algorithms to obtain the Pareto front solutions for the cuboid open traveling salesman problem (COTSP) in a ?smart floating city? context. Given n nodes and the distances between each pair of nodes the COTSP in this paper aims to find the shortest possible tour with a traveling distance that starts from the depot (i.e. node 1) and visits each node exactly once without needing to return to the depot. As known a cuboid has height length and depth and the COTSP defines its x y z coordinates as a cuboid corresponding to height length and depth. In addition to the traveling distance the platform (building breakwaters) cost is measured by the z coordinates (depths) of the nodes/platforms that represent both the platforms below the sea level. Note that unlike the traditional TSP it has a variable seed number and a variable number of nodes/platforms in each solution. The paper aims to find the Pareto front solutions by minimizing the traveling distance and platform cost of the infrastructures below the sea level simultaneously. We develop a multi-objective self-adaptive differential evolution (MOJDE) algorithm a nondominated sorting genetic algorithm (NSGAII) and a harmony search (MOHS) algorithm to solve the problem in such a way that we minimize the traveling distance while minimizing the platform cost simultaneously. All algorithms are compared to each other. The computational results show that the MOJDE and NSGAII algorithms outperform the MOHS algorithm in terms of commonly used performance measures from the literature.