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 …

A dynamic metaheuristic optimization model inspired by biological nervous systems: Neural network algorithm

A Sadollah, H Sayyaadi, A Yadav - Applied Soft Computing, 2018 - Elsevier
In this research, a new metaheuristic optimization algorithm, inspired by biological nervous
systems and artificial neural networks (ANNs) is proposed for solving complex optimization …

Scheduling eight-phase urban traffic light problems via ensemble meta-heuristics and Q-learning based local search

Z Lin, K Gao, N Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper addresses urban traffic light scheduling problems (UTLSP) with eight phases.
The objective is to minimize the total vehicle delay time by assigning traffic phases and …

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 …

State-of-art review of traffic light synchronization for intelligent vehicles: Current status, challenges, and emerging trends

I Tomar, I Sreedevi, N Pandey - Electronics, 2022 - mdpi.com
The effective control and management of traffic at intersections is a challenging issue in the
transportation system. Various traffic signal management systems have been developed to …

On the potential impacts of smart traffic control for delay, fuel energy consumption, and emissions: An NSGA-II-based optimization case study from Dhahran, Saudi …

M Al-Turki, A Jamal, HM Al-Ahmadi, MA Al-Sughaiyer… - Sustainability, 2020 - mdpi.com
Intelligent traffic control at urban intersections is vital to ensure efficient and sustainable
traffic operations. Urban road intersections are hotspots of congestion and traffic accidents …

An optimization model and traffic light control scheme for heterogeneous traffic systems

Y Zhang, R Su - Transportation research part C: emerging technologies, 2021 - Elsevier
In this paper, one type of heterogeneous traffic network, which consists of signalized
intersections and non-signalized ones, is analyzed and modelled with a macroscopic model …

An improved migrating birds optimization for an integrated lot-streaming flow shop scheduling problem

T Meng, QK Pan, JQ Li, HY Sang - Swarm and Evolutionary Computation, 2018 - Elsevier
Lot-streaming is an effective technology to enhance the production efficiency by splitting a
job or a lot into several sublots. It is commonly assumed that lot-splitting (ie job-splitting) is …

Energy substitution effect on transport sector of Pakistan: A trans-log production function approach

B Lin, MY Raza - Journal of Cleaner Production, 2020 - Elsevier
Transport sector of Pakistan is one of the highest fossil fuel consumption and carbon dioxide
(CO 2) emission sector. As a key user of fossil fuel energy, Pakistan's transport sector has …