TrafC-AnTabu: AnTabu routing algorithm for congestion control and traffic lights management using fuzzy model

被引:5
|
作者
Verma, Ajay [1 ]
Tandon, Righa [1 ]
Gupta, Pradeep Kumar [1 ]
机构
[1] Jaypee Univ Informat Technol, Dept Comp Sci & Engn, Solan 173234, India
关键词
ant colony optimization; congestion control; fuzzy network; tabu search; vehicular network;
D O I
10.1002/itl2.309
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Traffic congestion is becoming one of the severe problems around the globe. The rate at which vehicles are increasing is exponentially proportional to more complex issues. Therefore, it becomes necessary to efficiently manage traffic flow to avoid congestion on the roads and other complex problems. In this paper, we have proposed a system model that uses the AnTabu routing algorithm to overcome the severe problem of traffic congestion. We have also implemented a fuzzy model for managing the traffic lights on the road intersections. From the obtained results, it is found that the proposed system model has minimized the average travel time of vehicles and has increased the throughput of vehicles on the road intersections.
引用
收藏
页数:6
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