An Arterial Traffic Signal Control System Based on a Novel Intersections Model and Improved Hill Climbing Algorithm

被引：5

作者：

Chen, Fuyang ^{[1
]}

Wang, Li ^{[1
]}

Jiang, Bin ^{[1
]}

Wen, Changyun ^{[2
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Peoples R China

[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

来源：

COGNITIVE COMPUTATION | 2015年 / 7卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Arrival-based model; Artery model; Biologically inspired hill climbing algorithm; Membership function; FRAMEWORK;

D O I：

10.1007/s12559-014-9314-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, an arterial signal control method based on the modified arrival-based (AB) model is investigated using an improved biologically inspired hill climbing algorithm. The AB model is used to derive an amended objective function model with a membership function for signal cognitive optimization. Next, a modified hill climbing algorithm is proposed to strengthen the adaptive ability of intersections for disturbed traffic flow. At the same time, the probability of searching the globally optimal solutions is improved in the cognitive process. Finally, simulation results verify the applicability of the optimized AB model and the effectiveness of the improved hill climbing algorithm compared with conventional fixed-time control.

引用

页码：464 / 476

页数：13

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