Title
A Hierarchical Model Predictive Control Approach for Signal Splits Optimization in Large-Scale Urban Road Networks.
Abstract
In this paper, we propose a hierarchical model predictive control (MPC) approach for signal split optimization in large-scale urban road networks. To reduce the computational complexity, a large-scale urban road network is first divided into several subnetworks using a network decomposition method. Second, the MPC optimization problem of the large-scale urban road network is presented, in which th...
Year
DOI
Venue
2016
10.1109/TITS.2016.2517079
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
Optimization,Roads,Computational modeling,Computational complexity,Prediction algorithms,Benchmark testing,Vehicles
Mathematical optimization,Road networks,Lagrange multiplier,Model predictive control,Traffic simulation,Engineering,Hierarchical database model,Optimization problem,Benchmark (computing),Computational complexity theory
Journal
Volume
Issue
ISSN
17
8
1524-9050
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Bao-Lin Ye161.85
Weimin Wu223643.97
Lingxi Li316528.49
Wei-Jie Mao418519.18