The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review

Environmental Science and Ecotechnology, Год журнала: 2024, Номер 20, С. 100433 - 100433

Опубликована: Май 17, 2024

In the dynamic landscape of sustainable smart cities, emerging computational technologies and models are reshaping data-driven planning strategies, practices, approaches, paving way for attaining environmental sustainability goals. This transformative wave signals a fundamental shift — marked by synergistic operation artificial intelligence (AI), things (AIoT), urban digital twin (UDT) technologies. While previous research has largely explored AI, AIoT, UDT in isolation, significant knowledge gap exists regarding their interplay, collaborative integration, collective impact on context cities. To address this gap, study conducts comprehensive systematic review to uncover intricate interactions among these interconnected technologies, models, domains while elucidating nuanced dynamics untapped synergies complex ecosystem Central four guiding questions: What theoretical practical foundations underpin convergence UDT, planning, how can components be synthesized into novel framework? How does integrating AI AIoT reshape improve performance cities? augment capabilities enhance processes challenges barriers arise implementing what strategies devised surmount or mitigate them? Methodologically, involves rigorous analysis synthesis studies published between January 2019 December 2023, comprising an extensive body literature totaling 185 studies. The findings surpass mere interdisciplinary enrichment, offering valuable insights potential advance development practices. By enhancing processes, integrated offer innovative solutions challenges. However, endeavor is fraught with formidable complexities that require careful navigation mitigation achieve desired outcomes. serves as reference guide, spurring groundbreaking endeavors, stimulating implementations, informing strategic initiatives, shaping policy formulations sustainable, development. These have profound implications researchers, practitioners, policymakers, providing roadmap fostering resiliently designed, technologically advanced, environmentally conscious environments.

Язык: Английский

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Enhancing Tourists' Satisfaction: Leveraging Artificial Intelligence in the Tourism Sector

Pacific International Journal, Год журнала: 2024, Номер 7(3), С. 89 - 98

Опубликована: Июнь 20, 2024

The tourism industry plays a pivotal role in global economic growth and development, significantly contributing to GDP, job creation, cultural exchange. However, delivering exceptional tourist experiences remains challenging due factors such as overcrowding, inadequate infrastructure, language barriers, insensitivity. integration of artificial intelligence (AI) technologies offers promising solution these challenges. AI can enhance personalization, streamline operations, improve resource allocation, thereby elevating the overall quality experience. AI-driven technologies, machine learning algorithms, virtual assistants, augmented reality (AR), (VR) applications, provide tailored recommendations, multilingual support, immersive experiences. Moreover, safety security through predictive analytics real-time monitoring. While potential revolutionize is immense, responsible ethical implementation crucial ensure that innovations benefit all stakeholders mitigate risks. Embracing transparency, privacy, fairness practices will foster trust create more inclusive, sustainable, enriching travel globally.

Язык: Английский

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Game Theory-Based Risk Assessment of the Use of Autonomous Cars in an Urbanized Area

Mathematics, Год журнала: 2025, Номер 13(4), С. 553 - 553

Опубликована: Фев. 7, 2025

With the advancement of autonomous vehicles and their integration into urbanized areas, new challenges emerge related to safety risk management. This paper presents an approach assessing risks using cars in urban environments based on game theory. The analysis focuses interactions between traditional vehicles, as well other road participants, such pedestrians cyclists. By employing theory models, potential conflicts, scenarios, impact traffic efficiency are identified. proposed methods provide a foundation for developing management strategies that contribute safe sustainable areas.

Язык: Английский

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IoT Based Delivery Robot with Theft Detection for Food and Goods Supply

E3S Web of Conferences, Год журнала: 2025, Номер 619, С. 03018 - 03018

Опубликована: Янв. 1, 2025

The robot employs a NODEMCU board to achieve complete capabilities through smartphone control. includes four-wheel driving system with protective delivery area obeying only recipient authorization thus ensuring package security. An ultrasonic sensor enables the move while avoiding people alongside obstacles in physical space. Through remote camera control team members can oversee robot’s movement path and detect any signs of attempt-ed stealing behaviour. uses an audio communication that speaker microphone for customer interaction along features warn recipients about its arrival automatically trigger alarm during theft situations.

Язык: Английский

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Enhancing Urban AI-Powered Transportation Systems With Machine Learning

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 363 - 382

Опубликована: Апрель 4, 2025

This chapter is focused on exploring the integration of machine learning (ML) in enhancement AI-based urban transportation systems to adapt shifting mobility challenges contemporary cities. Machine transport networks: Using predictive analytics, real-time statistics, and optimization algorithms, used a network facilitate network, introducing improved commuting by minimizing traffic improving operational efficiency user satisfaction. Big data collection from sensors, GPS, IoT devices increasingly for intelligent decision-making flow prediction, autonomous vehicle navigation, public demand forecasting, dynamic routing. It emphasizes importance sustainable inclusive solutions across various sectors, addressing ethical implications, privacy, infrastructure scalability. explores future through application direction transforming it into connected efficient ecosystem.

Язык: Английский

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Sustainable Urban Mobility

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 103 - 126

Опубликована: Апрель 4, 2025

Since prehistoric times, humans have traveled on foot, gradually developing early pathways into modern transportation networks. Initially, animals like camels and horses carried supplies over long distances, promoting trade. Canoes enabled movement across waterways, while the wheel allowed for heavier loads, reshaping trade routes. The Industrial Revolution introduced steam-powered trains ships, increasing travel speed reach, followed by internal combustion engine later air travel, which significantly cut times. However, rise in vehicles has caused congestion pollution, highlighting need Intelligent Transportation Systems (ITS). ITS uses data, sensors, smart signals to optimize traffic flow, reduce congestion, encourage sustainable practices parking. Its goal is enable autonomous communicate with urban infrastructure, reducing collisions emissions. Despite challenges costs privacy, key creating efficient transportation.

Язык: Английский

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AI-Powered Smart Traffic Management in Intelligent Transportation Systems

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 51 - 70

Опубликована: Апрель 4, 2025

AI-powered smart traffic management changes the intelligent transportation systems with optimized urban growth, reduces congestion, and increases safety on roads through adoption of advanced technologies such as machine learning, computer vision, timing using real internal data analysis. Thus, AI provides dynamic in traffic, prediction for maintenance,. facilitates effective incident response. The chapter explores integration into signal optimization, autonomous vehicle programming, adaptive maneuvers. It encompasses key highlights, including predictive analytics forecasting connected IoT devices that will enable to communicate seamlessly between businesses vehicles well reduction emissions environmentally friendly solutions traffic. Practical aspects challenges usage are brought case studies from cities infrastructures.

Язык: Английский

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Blockchain-Based Solutions for Secure Vehicular Communications in VANETs

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 75 - 108

Опубликована: Апрель 24, 2025

VANETs (Vehicular Ad-hoc Networks) and blockchain technology hold promise for enhancing urban mobility by integrating the real-time communication capabilities of with blockchain's secure, decentralized nature; cities can develop smarter, safer, more efficient transportation systems. allow smooth data exchange between vehicles infrastructure, but secure integrity transparency are ensured through blockchain. This reduces chances cyberattacks unauthorized access. Together, these technologies present a strong framework optimizing traffic management, providing improved road safety and, thus, efficiency in as whole vehicle.

Язык: Английский

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Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review

Computers, materials & continua/Computers, materials & continua (Print), Год журнала: 2024, Номер 80(2), С. 2785 - 2813

Опубликована: Янв. 1, 2024

The high performance of IoT technology in transportation networks has led to the increasing adoption Internet Vehicles (IoV) technology. functional advantages IoV include online communication services, accident prevention, cost reduction, and enhanced traffic regularity. Despite these benefits, is susceptible cyber-attacks, which can exploit vulnerabilities vehicle network, leading perturbations, disturbances, non-recognition signs, accidents, immobilization. This paper reviews state-of-the-art achievements developments applying Deep Transfer Learning (DTL) models for Intrusion Detection Systems (IDS-IoV) based on anomaly detection. IDS-IoV leverages detection through machine learning DTL techniques mitigate risks posed by cyber-attacks. These systems autonomously create specific network data differentiate between regular Among techniques, transfer are particularly promising due their efficacy with tagged data, reduced training time, lower memory usage, decreased computational complexity. We evaluate against criteria including ability knowledge, rate, accurate analysis complex stability. review highlights significant progress made field, showcasing how enhance reliability systems. By examining recent advancements, we provide insights into effectively address cyber-attack challenges environments, ensuring safer more efficient networks.

Язык: Английский

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Application of a hybrid fuzzy-based algorithm to investigate the environmental impact of sewer overflow

Smart and Sustainable Built Environment, Год журнала: 2024, Номер unknown

Опубликована: Окт. 25, 2024

Purpose This study underscores the critical importance of well-functioning sewer systems in achieving smart and sustainable urban drainage within cities. It specifically targets pressing issue overflows (SO), widely recognized for their detrimental impact on environment public health. The primary purpose this research is to bridge significant gaps by investigating root causes SO incidents comprehending broader ecological consequences. Design/methodology/approach To fill gaps, introduces Multi-Phase Causal Inference Fuzzy-Based Framework (MCIF). MCIF integrates fuzzy Delphi technique, DEMATEL method, TOPSIS technique expert interviews. Drawing expertise from developed countries, systematically identifies prioritizes causes, explores causal interrelationships, environmental impacts compiles mitigation strategies. Findings study's findings are multifaceted substantially contribute addressing challenges. Utilizing MCIF, effectively factors behind incidents, highlighting relative significance. Additionally, it unravels intricate relationships among key such as blockages, flow velocity, infiltration inflow, under-designed pipe diameter deformation, holes or collapse, providing a profound insight into web influences leading SO. Originality/value originality presenting innovative tailored mitigation. combination techniques, input holistic analysis enriches existing knowledge. These pave way informed decision-making proactive measures achieve systems.

Язык: Английский

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