A comprehensive survey of enabling and emerging technologies for social distancing—Part I: Fundamentals and enabling technologies

CT Nguyen, YM Saputra, N Van Huynh… - Ieee …, 2020 - ieeexplore.ieee.org
Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses
such as COVID-19. By minimizing the close physical contact among people, we can reduce …

A review on swarm intelligence and evolutionary algorithms for solving the traffic signal control problem

PW Shaikh, M El-Abd, M Khanafer… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The rapid development of urban cities coupled with the rise in population has led to an
exponentially growing number of vehicles on the roads for the latter to commute. This is …

Evolutionary computation for intelligent transportation in smart cities: A survey

ZG Chen, ZH Zhan, S Kwong… - IEEE Computational …, 2022 - ieeexplore.ieee.org
As the population in cities continues to increase, large-city problems, including traffic
congestion and environmental pollution, have become increasingly serious. The …

A comprehensive survey of enabling and emerging technologies for social distancing—Part II: Emerging technologies and open issues

CT Nguyen, YM Saputra, N Van Huynh… - IEEE …, 2020 - ieeexplore.ieee.org
This two-part paper aims to provide a comprehensive survey on how emerging
technologies, eg, wireless and networking, artificial intelligence (AI) can enable, encourage …

Enabling and emerging technologies for social distancing: a comprehensive survey and open problems

CT Nguyen, YM Saputra, N Van Huynh… - arXiv preprint arXiv …, 2020 - arxiv.org
Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses
such as COVID-19. By minimizing the close physical contact among people, we can reduce …

Problem feature based meta-heuristics with Q-learning for solving urban traffic light scheduling problems

L Wang, K Gao, Z Lin, W Huang, PN Suganthan - Applied Soft Computing, 2023 - Elsevier
An urban traffic light scheduling problem (UTLSP) is studied by using problem feature based
meta-heuristics with Q-learning. The goal is to minimize the network-wise total delay time …

Real-time scheduling in IoT applications: a systematic review

S Abolhassani Khajeh, M Saberikamarposhti… - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) is a telecommunication network in the next generation of
applications with the rapid progress of wireless sensor network techniques that have …

Anomalous trajectory detection and classification based on difference and intersection set distance

J Wang, Y Yuan, T Ni, Y Ma, M Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Anomaly detection is an important issue in trajectory data mining. Various approaches have
been proposed to address this issue. However, most previous studies focus only on outlier …

A genetic timing scheduling model for urban traffic signal control

H Wang, P Hu, H Wang - Information Sciences, 2021 - Elsevier
As urban traffic condition is diverse and complicated, maximizing the use of urban traffic
signal control system to solve traffic issues becomes one of the hot and promising topics …

An effective hybrid-heuristic algorithm for urban traffic light scheduling

CW Tsai, TC Teng, JT Liao, MC Chiang - Neural Computing and …, 2021 - Springer
The traffic light cycle optimization problem (TLCOP) is certainly one of the most critical
problems in a modern traffic management system because a “good solution” will be able to …