Title :
A real time traffic management system
Author :
Rana, Sadaf Khalid ; Younas, Irfan ; Mahmood, Sehrish
Author_Institution :
Univ. of Arid Agric., Rawalpindi, Pakistan
Abstract :
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.
Keywords :
fuzzy neural nets; fuzzy reasoning; real-time systems; road traffic; road vehicles; traffic information systems; fuzzy logic; neural network; real time traffic management system; road segment threshold capacity identification; road vehicle; traffic advisory system; traffic congestion problem; Fuzzy logic; Fuzzy sets; Fuzzy systems; Neural networks; Real time systems; Road vehicles; Rough surfaces; Surface roughness; Telecommunication traffic; Traffic control; fuzzy logic; neural network; traffic congestion;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234418
