State-of-art review of traffic signal control methods: challenges and opportunities
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 …
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
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 …
exponentially growing number of vehicles on the roads for the latter to commute. This is …
Boosting data-driven evolutionary algorithm with localized data generation
By efficiently building and exploiting surrogates, data-driven evolutionary algorithms
(DDEAs) can be very helpful in solving expensive and computationally intensive problems …
(DDEAs) can be very helpful in solving expensive and computationally intensive problems …
Adaptive and multi-path progression signal control under connected vehicle environment
Through wireless communications, enriched information from connected vehicles (CVs) can
describe traffic information near an intersection and would supplement a data source for an …
describe traffic information near an intersection and would supplement a data source for an …
Optimal type-2 fuzzy system for arterial traffic signal control
Y Bi, X Lu, Z Sun, D Srinivasan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Arterial traffic is the artery of urban transport and loads huge traffic pressure. In order to
alleviate its traffic pressure effectively, a coordinated arterial traffic type-2 fuzzy logic control …
alleviate its traffic pressure effectively, a coordinated arterial traffic type-2 fuzzy logic control …
A Differential Evolution Algorithm‐Based Traffic Control Model for Signalized Intersections
Sustainable management of traffic flows at signalized intersections is an important issue in
terms of traffic engineering. The minimization of lost time, emission, fuel consumption, etc …
terms of traffic engineering. The minimization of lost time, emission, fuel consumption, etc …
Application of metaheuristics for signal optimisation in transportation networks: A comprehensive survey
With rapid population growth, there is an urgent need for intelligent traffic control techniques
in urban transportation networks to improve network performance. In an urban transportation …
in urban transportation networks to improve network performance. In an urban transportation …
Towards differentiable agent-based simulation
P Andelfinger - ACM Transactions on Modeling and Computer …, 2023 - dl.acm.org
Simulation-based optimization using agent-based models is typically carried out under the
assumption that the gradient describing the sensitivity of the simulation output to the input …
assumption that the gradient describing the sensitivity of the simulation output to the input …
Differentiable agent-based simulation for gradient-guided simulation-based optimization
P Andelfinger - Proceedings of the 2021 ACM SIGSIM Conference on …, 2021 - dl.acm.org
Simulation-based optimization using agent-based models is typically carried out under the
assumption that the gradient describing the sensitivity of the simulation output to the input …
assumption that the gradient describing the sensitivity of the simulation output to the input …
Region-based evaluation particle swarm optimization with dual solution libraries for real-time traffic signal timing optimization
Traffic signal timing optimization (TSTO) is a significant topic in the smart city. However,
there are two challenges when solving TSTO. Firstly, it often uses time-consuming …
there are two challenges when solving TSTO. Firstly, it often uses time-consuming …