摘要
交通需求的增长导致城市交通问题越发严重,由于交通系统的复杂性,模糊控制理论在该领域显示出较大的优势.本文以城市交叉口群为控制目标,提出由本地模糊控制器和特殊情况控制器组成的分布式控制系统.每个本地模糊控制器根据其所在交叉口和相邻交叉口的车流情况,按照设计的算法对车流实施控制,当交通情况超出本地模糊控制器的控制能力时,特殊情况控制器将被激发,并采用模拟退火算法从整体上优化各个交叉口的绿灯时间,在该算法中引入成功指数δ来评价每个可行解的优劣.最后通过系统仿真,将该控制系统与一个传统的模糊控制系统进行比较,说明了该系统的有效性.
With the increase of traffic demand,urban traffic problems become more and more serious.Owing to the complexity of traffic system,the fuzzy control theory demonstrates powerful advantages.Taking the signal control problem of the intersection group as objective,we provide a distributed control system,which comprises some local fuzzy controllers and a special case controller.By adopting the given algorithm,each local fuzzy controller controls the traffic flows at its designated intersection according to the traffic flows of related intersections in addition to its own.When the current traffic situation is beyond the ability of local traffic controller,the special case controller will be activated.By adopting the designed simulated annealing algorithm,the special case controller optimizes the green time extension of all the intersections in the road network.In this algorithm,success index,denoted by δ,is given to evaluate the efficiency of each feasible solution taking the system optimization into account.Finally,the system is compared with a general fuzzy control system to evaluate its performance,and its availability is validated by system simulation.
出处
《兰州交通大学学报》
CAS
2011年第6期106-110,共5页
Journal of Lanzhou Jiaotong University
关键词
模糊控制
信号控制
模拟退火算法
成功指数
系统仿真
fuzzy control
signal control
simulated annealing algorithm
success index
system simulation