Integration of IoT-enabled technologies and artificial intelligence (AI) for smart city scenario: recent advancements and future trends

MEE Alahi, A Sukkuea, FW Tina, A Nag… - Sensors, 2023 - mdpi.com
As the global population grows, and urbanization becomes more prevalent, cities often
struggle to provide convenient, secure, and sustainable lifestyles due to the lack of …

Smart cities—a structured literature review

JS Gracias, GS Parnell, E Specking, EA Pohl… - Smart Cities, 2023 - mdpi.com
Smart cities are rapidly evolving concept-transforming urban developments in the 21st
century. Smart cities use advanced technologies and data analytics to improve the quality of …

AI explainability and governance in smart energy systems: a review

R Alsaigh, R Mehmood, I Katib - Frontiers in Energy Research, 2023 - frontiersin.org
Traditional electrical power grids have long suffered from operational unreliability, instability,
inflexibility, and inefficiency. Smart grids (or smart energy systems) continue to transform the …

Artificial Intelligence in Smart Cities—Applications, Barriers, and Future Directions: A Review

R Wolniak, K Stecuła - Smart Cities, 2024 - mdpi.com
As urbanization continues to pose new challenges for cities around the world, the concept of
smart cities is a promising solution, with artificial intelligence (AI) playing a central role in this …

Exploring the nexus between the barriers and drivers for sustainable smart cities in developing countries: The case of Nigeria

AO Bello, TT Okanlawon, IY Wuni… - Sustainable …, 2024 - Wiley Online Library
Amidst the rapid urbanisation and increasing calls for sustainable development, this study
examines the key drivers and barriers influencing sustainable smart city initiatives in Nigeria …

Aiot-citysense: Ai and iot-driven city-scale sensing for roadside infrastructure maintenance

ARM Forkan, YB Kang, F Marti, A Banerjee… - Data Science and …, 2024 - Springer
The transformation of cities into smarter and more efficient environments relies on proactive
and timely detection and maintenance of city-wide infrastructure, including roadside …

[HTML][HTML] Reinforcement learning based traffic signal controller with state reduction

RM Savithramma, R Sumathi, HS Sudhira - Journal of engineering research, 2023 - Elsevier
The delay caused due to congestion at an intersection contributes to extended travel time
and environmental pollution. Currently, adaptive traffic signal controllers are in practice to …

A systematic literature review of smart governance

FN Purba, AA Arman - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Technology development has an impact on a wide range of aspects of life. The success of
any firm depends on technology. Technology alters business processes to produce new …

Bus dwell time forecasting using machine learning models

BP Aswini, RM Savithramma… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Bus Dwell Time (BDT) is a vital and most important contributing part of Bus Travel Time
(BTT). Forecasting BDT is key for applications that predict the arrival time of buses at bus …

A Contiguous Temporal Chebyshev Convolutional Optimized Network (CoC-TemNet) Model for Energy Prediction in IoT Enabled Smart City Networks

P Karthik, K Sekhar, P Sekhar - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Smart cities are having the ability to monitor and manage their environments in real time due
to the emergence of Internet of Things technology. In the context of energy management …