Fuzzy Logic Ticket Rate Predictor for Congestion Control in Vehicular Networks

被引：4
|
作者：
Naja, Rola [1 ,2 ]
Matta, Roland [2 ,3 ]
机构：
[1] Univ Versailles St Quentin, CNRS, PRiSM Lab, UMR 8144, Versailles, France
[2] Lebanese Univ, Ctr Azm, EDST, Tripoli, Lebanon
[3] Murex Syst, Beirut, Lebanon
来源：
WIRELESS PERSONAL COMMUNICATIONS | 2014年 / 79卷 / 03期
关键词：
Congestion control; Fuzzy logic; Mobility model; VANET;
D O I：
10.1007/s11277-014-1961-2
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Cooperative vehicular systems are currently being investigated to design innovative intelligent transportation systems (ITS) solutions for road traffic management and safety. This paper proposes a preventive congestion control mechanism applied at highway entrances and devised for ITS systems. Our mechanism integrates different types of vehicles and copes with vehicular traffic fluctuations due to an innovative fuzzy logic ticket rate predictor. The proposed mechanism efficiently detects road traffic congestion and provides valuable information for the vehicular admission control. When we apply an authentic enhanced mobility model, the results demonstrate the mechanism capability to accurately characterize road traffic congestion conditions, shape vehicular traffic and reduce travel time.
引用
收藏
页码：1837 / 1858
页数：22
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