A MILP-based MPC Method for Traffic Signal Control of Urban Road Networks

被引：0

作者：

Ye, Bao-Lin ^{[1
]}

Gao, Huimin ^{[1
]}

Li, Lingxi ^{[2
]}

Ruan, Keyu ^{[2
]}

Wu, Weimin ^{[3
]}

Chen, Tehuan ^{[4
]}

机构：

[1] Jiaxing Univ, Coll Mech & Elect Engn, Jiaxing, Peoples R China

[2] Indiana Univ Purdue Univ, Dept Elect & Comp Engn, Indianapolis, IN 46202 USA

[3] Zhejiang Univ, Coll Control Sci & Engn, Hangzhou, Peoples R China

[4] Ningbo Univ, Fac Mech Engn & Mech, Ningbo, Peoples R China

来源：

2019 CHINESE AUTOMATION CONGRESS (CAC2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

traffic flow; signal control; road networks; model predictive control; computational complexity;

D O I：

10.1109/cac48633.2019.8997474

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a traffic signal control method via MILP-based model predictive control (MPC) was proposed. We use a macroscopic traffic flow model to describe traffic flows of urban road networks. In the model, 0-1 binary variables were used to describe the switch process of green lights and red lights at each intersection. Under the framework of MPC, aiming at reducing the computational complexity, an original MPC-based traffic signal control problem was reformulated as a mixed integer linear programming (MILP) problem which is conveniently calculated with efficient MILP solvers. Finally, numerical experiments based on a test network were implemented to study the validity of the reported method.

引用

页码：3820 / 3825

页数：6

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