A review on computational intelligence methods for controlling traffic signal timing
S Araghi, A Khosravi, D Creighton - Expert systems with applications, 2015 - Elsevier
Urban traffic as one of the most important challenges in modern city life needs practically
effective and efficient solutions. Artificial intelligence methods have gained popularity for …
effective and efficient solutions. Artificial intelligence methods have gained popularity for …
Cooperative intersection management: A survey
Intersection management is one of the most challenging problems within the transport
system. Traffic light-based methods have been efficient but are not able to deal with the …
system. Traffic light-based methods have been efficient but are not able to deal with the …
Optimal cycle program of traffic lights with particle swarm optimization
Optimal staging of traffic lights, and in particular optimal light cycle programs, is a crucial task
in present day cities with potential benefits in terms of energy consumption, traffic flow …
in present day cities with potential benefits in terms of energy consumption, traffic flow …
A review of research on intersection control based on connected vehicles and data-driven intelligent approaches
K Gao, S Huang, J ** of porphyry and hydrothermal vein copper deposits in the Dananhu-Tousuquan island arc …
N Zhang, K Zhou, X Du - Journal of African Earth Sciences, 2017 - Elsevier
Mineral prospectivity map** (MPM) is a multi-step process that ranks promising target
areas for further exploration. Fuzzy logic and fuzzy analytical hierarchy process (AHP) are …
areas for further exploration. Fuzzy logic and fuzzy analytical hierarchy process (AHP) are …
Type-2 fuzzy multi-intersection traffic signal control with differential evolution optimization
This paper proposes a multi-agent type-2 fuzzy logic control (FLC) method optimized by
differential evolution (DE) for multi-intersection traffic signal control. Type-2 fuzzy sets can …
differential evolution (DE) for multi-intersection traffic signal control. Type-2 fuzzy sets can …
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 …
[HTML][HTML] Autonomous vehicles congestion model: A transparent LSTM-based prediction model corporate with Explainable Artificial Intelligence (EAI)
M Waqas, S Abbas, U Farooq, MA Khan… - Egyptian Informatics …, 2024 - Elsevier
Urban traffic congestion presents a range of vital difficulties requiring precise prediction
models in order to facilitate traffic management for Autonomous Vehicles. This work …
models in order to facilitate traffic management for Autonomous Vehicles. This work …
Reducing vehicle emissions and fuel consumption in the city by using particle swarm optimization
Nowadays, the increasing levels of polluting emissions and fuel consumption of the road
traffic in modern cities directly affect air quality, the city economy, and especially the health of …
traffic in modern cities directly affect air quality, the city economy, and especially the health of …
Intelligent cuckoo search optimized traffic signal controllers for multi-intersection network
S Araghi, A Khosravi, D Creighton - Expert Systems with Applications, 2015 - Elsevier
Traffic congestion in urban roads is one of the biggest challenges of 21 century. Despite a
myriad of research work in the last two decades, optimization of traffic signals in network …
myriad of research work in the last two decades, optimization of traffic signals in network …