Title :
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
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;
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
DOI :
10.1109/WCICA.2008.4594021
