摘要
高速公路的交通流存在很大的不确定性,模糊逻辑是解决其控制问题的有效方法。对传统的ALINEA模型进行了扩展,提出一种新的自适应模糊匝道控制器。当高速公路路段的临界密度不能被预先正确估计或者因交通环境的实时变化而难以估计时,提出的自适应模糊控制器将显示出其优越性。在仿真试验中,根据交通流的各种性能指标,将新的自适应控制器同传统的ALIN-EA方法做了详细的对比。
As the uncertain features of the freeway traffic flow,fuzzy control can be used as an acceptable way to solve traffic problem.As an extension of the ALINEA,a new adaptive local ramp metering controller is proposed.The developed AD-Fuzzy Controller may be valuable whenever the critical occupancy cannot be estimated beforehand or is subject to real-time change due to changing environmental conditions or traffic composition.Simulation results have been compared to the ALINEA method according to performance index.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第8期196-199,共4页
Computer Engineering and Applications
基金
国家自然科学基金( the National Natural Science Foundation of China under Grant No.60134010)
