DocumentCode :
1873767
Title :
Theory of dynamic fuzzy logic traffic light integrated system with accident detection and action
Author :
Alkandari, Abdulrahman Abdullah ; Aljandal, Meshari
Author_Institution :
Comput. Dept., Basic Educ. Coll., Kuwait
fYear :
2015
fDate :
21-23 April 2015
Firstpage :
62
Lastpage :
68
Abstract :
Traffic congestion is a problem that requires extremely complex and iterative solutions. Our work demonstrates the main Map and the theory of the proposed Hybrid system, which based on fuzzy logic technique for optimally controlling the traffic flow and accident detection in cities. The proposed system was developed into a two-layered: the Architecture layer and the Application layer. The focus of this paper is to discuss the Application layer represented by the algorithm and the methods used in the in the Intelligent Traffic light control system. The system was divided into three sub systems: The proposed Dynamic Webster with dynamic Cycle Time algorithm, Accident Detection System using fuzzy logic theory and Action System depending on Accident Detection System. This paper explain the main parts of the system with a great details showed in flow charts.
Keywords :
accident prevention; fuzzy control; intelligent control; road accidents; road safety; road traffic control; accident detection system; action system; application layer; architecture layer; dynamic Webster; dynamic cycle time algorithm; dynamic fuzzy logic traffic light integrated system; fuzzy logic technique; hybrid system; intelligent traffic light control system; optimal traffic flow control; traffic congestion problem; Accidents; Filling; Fuzzy logic; Heuristic algorithms; Roads; Sensors; Vehicle dynamics; Dynamic Webster Dynamic Cycle Time (DWDC); Fuzzy Logic theory; Fuzzy Logic with Accident Detection; Intelligent traffic control system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Technology and Information Management (ICCTIM), 2015 Second International Conference on
Conference_Location :
Johor
Print_ISBN :
978-1-4799-6210-5
Type :
conf
DOI :
10.1109/ICCTIM.2015.7224594
Filename :
7224594
Link To Document :
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