Signal Control Period Division Method Based on Locally Linear Embedding and Particle Swarm Optimization Combined With K-Means Clustering
In order to optimize the existing signal control period division method and improve signal control effect, a new period division method based on Locally Linear Embedding and Particle Swarm Optimization combined with K-means clustering (LLE-PSO-K) algorithm is proposed in this paper. Firstly, traffic...
Saved in:
Main Authors: | Xiujuan Tian, Chunyan Liang, Tianjun Feng, Chun Chen |
---|---|
Format: | article |
Language: | EN |
Published: |
IEEE
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/79a95b4ffe094a06a8f5a4223b021abb |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Particle Swarm Optimisation with Linearly Decreasing Weight for Real-Time Traffic Signal Control
by: Yanjun Shi, et al.
Published: (2021) -
Joint Calibration and Synchronization of Two Arrays of Microphones and Loudspeakers Using Particle Swarm Optimization
by: Anton Kovalyov, et al.
Published: (2021) -
A graph-based gene selection method for medical diagnosis problems using a many-objective PSO algorithm
by: Saeid Azadifar, et al.
Published: (2021) -
Robot Arm Path Planning Using Modified Particle Swarm Optimization based on D* algorithm
by: Ahmed T. Sadiq, et al.
Published: (2017) -
Effects of uncertainty in determining the parameters of the linear Muskingum method using the particle swarm optimization (PSO) algorithm
by: Hadi Norouzi, et al.
Published: (2021)