Title :
Division Approach of Traffic Signal Control Sub-Area
Author :
Guo, Jingjing ; Xiong, Qipeng ; Chen, Sheng
Author_Institution :
Sch. of Mech. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
Abstract :
It is very necessary and meaningful to carry out research aiming at traffic signal control sub-area method. However, the accuracy and robustness of traffic signal control sub-area still can not meet the need of practice. First, this paper researches the popular methods and their key techniques. Second, the paper considered following four influencing factors: distance between intersections, major road traffic volume, major road traffic capacity, signal cycle, and was trying to propose a new traffic signal control sub-area method based on fuzzy C-means clustering. Finally, the approach is illustrated by a case study in vissim. The results show this method is satisfactory and wide applicability. Compared with traditional method, major road delay decreases by 30%, and travel time decreases by 20%.
Keywords :
fuzzy set theory; road traffic; robust control; fuzzy C-means clustering; road delay; road traffic capacity; road traffic volume; signal cycle; traffic signal control subarea method; Automatic control; Clustering algorithms; Communication system traffic control; Delay effects; Fuzzy control; Fuzzy sets; Intelligent transportation systems; Mechanical engineering; Roads; Traffic control;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5363143