A case-based reasoning approach to urban intersection control

Author

Zhenlong, Li ; Xiaohua, Zhao

Author_Institution

Sch. of Electron. Inf.&Control Eng., Beijing Univ. of Technol., Beijing

fYear

2008

fDate

25-27 June 2008

Firstpage

7113

Lastpage

7118

Abstract

An intersection control approach based on case-based reasoning (CBR) is put forward in this paper. CBR solves new problem by reusing solution of similar old problem. The strength of CBR lies in its ability to simulate the decision-making process of a human. Case structure is presented and decision tree is used to organize the cases. The most similar case is obtained using the nearest neighbor algorithm. A simulation study is conducted on an intersection and numerical results demonstrate the effectiveness of the proposed approach.

Keywords

case-based reasoning; decision making; decision trees; traffic engineering computing; case-based reasoning approach; human decision-making process; nearest neighbor algorithm; urban intersection control; Automation; Communication system traffic control; Control engineering; Decision making; Delay; Fuzzy control; Intelligent control; Nearest neighbor searches; Roads; Traffic control; case structure; case-based reasoning; intersection control; the nearest neighbor algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4594021

Filename

4594021