A Real Time Traffic Management System
One of the major issues of our daily life is traffic congestion. To help solve the traffic congestion problem, a traffic advisory system is proposed to identify the threshold capacity of a road segment. Threshold capacity measures the number of vehicles which can be allowed to pass over a certain road segment without causing congestion. Threshold capacity is used for suggesting improvements of road segments. Congestion information can subsequently be provided to traffic management authorities for improvement of the conditions of road segments. The traffic advisory system is designed using fuzzy logic to determine the threshold capacity of a road segment. To estimate the tendency of traffic flow at different junctions a neural network is designed. Furthermore an algorithm is proposed, which measures the effects of these improvements. Testing of proposed system is accomplished through simulation.
traffic congestion fuzzy logic neural network
Sadaf Khalid Rana Irfan Younas Sehrish Mahmood
University of Arid Agriculture Rawalpindi, Pakistan HITEC University Taxila Cantt, Pakistan
国际会议
北京
英文
2950-2954
2009-08-08（万方平台首次上网日期，不代表论文的发表时间）