DocumentCode :
1851689
Title :
Study on Reasons and Countermeasures of Traffic Congestion of Urban Road Based on the Queuing Models
Author :
Fu-yu Wang ; Chun-Ming Ye ; Yan Li
Author_Institution :
Manage. Sch., Univ. of Shanghai for Sci. Technol., Shanghai, China
fYear :
2013
fDate :
21-23 June 2013
Firstpage :
1855
Lastpage :
1858
Abstract :
The traffic jam of urban road is one of the important issues of common concern to the international community, which affects the efficiency and quality of city life. In order to solve the urban road traffic congestion problem, this paper gathers information and data about a five forks by the Work Sampling and image analysis method. Then, according to the queuing model of M/M/1, these parameters as the average arrival rate, average service rate and queue length are measured. After that, the paper analyzes the road traffic congestion reasons by the busy rate and free rate of each crossing. Based on the reasons, the countermeasures to solve traffic congestion are put forward. The results show that the improvement to the five forks can effectively reduce the queue time of crossing vehicles.
Keywords :
image processing; queueing theory; road traffic; traffic engineering computing; image analysis; queuing models; traffic congestion; traffic jam; urban road; work sampling; Educational institutions; Mathematical model; Planning; Queueing analysis; Roads; Vehicles; MATLAB; countermeasure analysis; queuing theory; simulation; traffic congestion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
Type :
conf
DOI :
10.1109/ICCIS.2013.485
Filename :
6643404
Link To Document :
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