Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature

T Yigitcanlar, KC Desouza, L Butler, F Roozkhosh - Energies, 2020 - mdpi.com
Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the
use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban …

The development of artificial intelligence in education: A review in context

STH Pham, PM Sampson - Journal of Computer Assisted …, 2022 - Wiley Online Library
Background In fact, most schools around the world are not well equipped to have
discussions and keep current on the expansion of artificial intelligence (AI) in many aspects …

[PDF][PDF] Exploring Digital Government transformation in the EU

E Barcevičius, G Cibaitė, C Codagnone… - Publications Office of …, 2019 - core.ac.uk
Exploring Digital Government transformation in the EU Page 1 Exploring Digital Government
transformation in the EU Analysis of the state of the art and review of literature Authors: Egidijus …

A comprehensive view of intelligent transport systems for urban smart mobility

R Mangiaracina, A Perego, G Salvadori… - International Journal of …, 2017 - Taylor & Francis
Information accuracy and decision-making speed are of paramount importance in managing
today's mobility of goods and people inside the city. Intelligent Transport Systems (ITS) can …

Learning and information in stochastic networks and queues

N Walton, K Xu - Tutorials in Operations Research …, 2021 - pubsonline.informs.org
We review the role of information and learning in the stability and optimization of queueing
systems. In recent years, techniques from supervised learning, online learning, and …

Traffic signal optimization through discrete and continuous reinforcement learning with robustness analysis in downtown Tehran

M Aslani, S Seipel, MS Mesgari, M Wiering - Advanced Engineering …, 2018 - Elsevier
Traffic signal control plays a pivotal role in reducing traffic congestion. Traffic signals cannot
be adequately controlled with conventional methods due to the high variations and …

Operational performance evaluation of adaptive traffic control systems: A Bayesian modeling approach using real-world GPS and private sector PROBE data

ZH Khattak, MJ Magalotti… - Journal of Intelligent …, 2020 - Taylor & Francis
This evaluation ascertained the operational impacts of the SUTRAC (Scalable Urban Traffic
Control) Adaptive Signal Control Technology (ASCT) in an urban corridor consisting of 23 …

Human-robot cooperation for autonomous vehicles and human drivers: Challenges and solutions

S Aoki, CW Lin, R Rajkumar - IEEE communications magazine, 2021 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) are becoming increasingly feasible, and these
vehicles are expected to enhance road safety, traffic throughput, energy efficiency, and …

eMARLIN: distributed coordinated adaptive traffic signal control with topology-embedding propagation

X Wang, A Taitler, I Smirnov… - Transportation …, 2024 - journals.sagepub.com
In this paper, we examine the practical problem of minimizing the delay in traffic networks
that are controlled at each intersection independently, without a centralized supervisory …

Machine-Learning based Transportation Network Sparsification for IoT Trucking Automation and Optimization

D Chang, Z Wang, X Zhang - 2022 4th International Academic …, 2022 - ieeexplore.ieee.org
As the rapid manufacturing and industrial development, Internet of things (IoT) has become
a key role in AI-smart transportation network especially for smart trucking automation and …