Iterative learning control approach for signaling split in urban traffic networks with macroscopic fundamental diagrams

DOI10.1155/2015/975328zbMath1394.90185OpenAlexW2127980164WikidataQ59120106 ScholiaQ59120106MaRDI QIDQ1667113

Fu-li Tian, Fei Yan, Zhong-Ke Shi

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/975328

Mathematics Subject Classification ID

Discrete-time control/observation systems (93C55) Traffic problems in operations research (90B20)

Related Items (3)

A novel control strategy for balancing traffic flow in urban traffic network based on iterative learning control ⋮ Discrete PID-type iterative learning control for mobile robot ⋮ Iterative learning control with forgetting factor for urban road network

Cites Work

• An efficient PageRank approach for urban traffic optimization
• The spatial variability of vehicle densities as determinant of urban network capacity
• Controlled Optimization of Phases at an Intersection
• Initial shift issues on discrete-time iterative learning control with system relative degree

This page was built for publication: Iterative learning control approach for signaling split in urban traffic networks with macroscopic fundamental diagrams