To minimize the delay of signalized intersection using LP and NLP

被引:0
|
作者
Zhou, Xuan [1 ]
Chong, Kil To [1 ]
机构
[1] Chonbuk Natl Univ, Elect & Informat Engn Dept, Jeonju 561756, Jeonbuk, South Korea
关键词
linear and nonlinear; delay; green split; objective function; constraints;
D O I
10.1109/ICACC.2010.5487028
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper develops a new method for minimizing intersection delay based on linear and nonlinear program. On the basis of geometric construction, a new set of formulas are proposed to estimate the steady-and-oversaturation delay. As a dynamic model, it can automatically allocate the green time to obtain the minimal delay. Since the objective function of delay is linear or nonlinear, only the combination of linear and nonlinear program can be applied to random situation. The two objective functions, subject to corresponding constraints, can achieve the best split green ratios by MAT-LAB. The simulation result shows that green splits got by LP combined with NLP can obtain less delay than using fixed green splits.
引用
收藏
页码:266 / 270
页数:5
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