根据Agent技术和模糊控制方法,提出了区域交通流协调控制方法。以路段拥挤度和绿灯持续时间为输入变量,以绿灯修正延长时间为输出变量,确定了变量数据的获取方式以及变量之间的对应关系,设计了协调控制器。根据下游交叉口配时的不同方案,制定了不同的模糊控制规则,修正了控制策略,并运用MATLAB进行仿真。仿真结果表明:采用Agent技术和模糊控制方法后,平均总延误为127.431 s·km-1,下降了约9.9%;路段平均流量密度为18.828 veh·km-1;路段平均流量为9 597 veh·h-1;平均车速为17.798 km·h-1,提高了约6.3%。可见,路网密度明显降低,交通状况明显改善。
On the basis of agent technology and fuzzy control method,a coordination control method of regional traffic flow was proposed.Section congestion degree and green light duration were taken as input variables,green light's correction prolong time was taken as output variable,the acquiring methods of variable data and the corresponding relationships among the variables were determined,and a coordination controller was designed.According to different schemes of time assignments at downstream intersections,various fuzzy control rules were formulated,control strategy was corrected,and corresponding simulation was carried out by MATLAB.Simulation result shows that after using the control method,average total delay is 127.431 s·km-1,and decreases by about 9.9%.Average section density is 18.828 veh·km-1.Average section flow is 9 597 veh·h-1.Average speed is 17.798 km·h-1,and rises by about 6.3%.It can be significantly seen that with the method section density decreases,and traffic condition is improved.7 tabs,3 figs,14 refs.