State-of-art review of traffic signal control methods: challenges and opportunities

SSSM Qadri, MA Gökçe, E Öner - European transport research review, 2020 - Springer
Introduction Due to the menacing increase in the number of vehicles on a daily basis,
abating road congestion is becoming a key challenge these years. To cope-up with the …

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 …

Coordinated planning strategy for electric vehicle charging stations and coupled traffic-electric networks

X Wang, M Shahidehpour, C Jiang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The proliferation of electric vehicles (EVs) calls for an effective planning of charging stations
by coupling the transportation network (TN) with the power distribution network (PDN). This …

Post-cloud computing paradigms: a survey and comparison

Y Zhou, D Zhang, N **ong - Tsinghua Science and Technology, 2017 - ieeexplore.ieee.org
With the rapid development of pervasive intelligent devices and ubiquitous network
technologies, new network applications are emerging, such as the Internet of Things, smart …

Interdependence between transportation system and power distribution system: A comprehensive review on models and applications

W Wei, WU Danman, WU Qiuwei… - Journal of Modern …, 2019 - ieeexplore.ieee.org
The rapidly increasing penetration of electric vehicles in modern metropolises has been
witnessed during the past decade, inspired by financial subsidies as well as public …

Stochastic user equilibrium based spatial-temporal distribution prediction of electric vehicle charging load

K Liu, Y Liu - Applied Energy, 2023 - Elsevier
As the number of electric vehicles (EVs) connected to the grid increases, the EV electricity
demand rises dramatically, affecting the grid's planning and operation and deepening the …

TCitySmartF: A comprehensive systematic framework for transforming cities into smart cities

K Kuru, D Ansell - IEEE Access, 2020 - ieeexplore.ieee.org
A shared agreed-upon definition of “smart city”(SC) is not available and there is no “best
formula” to follow in transforming each and every city into SC. In a broader inclusive …

Object detection and tracking algorithms for vehicle counting: a comparative analysis

V Mandal, Y Adu-Gyamfi - Journal of big data analytics in transportation, 2020 - Springer
The rapid advancement in the field of deep learning and high performance computing has
highly augmented the scope of video-based vehicle counting system. In this paper, the …

Optimal scheduling for integrated energy-mobility systems based on renewable-to-hydrogen stations and tank truck fleets

M Ban, W Bai, W Song, L Zhu, S **a… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As an emerging energy carrier, hydrogen presents a potential opportunity to increase the
flexibility and resiliency of the integrated power and transportation system having ultrahigh …