基于多智能体的交通干线动态智能协调控制

为减少干线上车辆的平均延误时间,提出了一种基于多智能体技术的动态双向绿波带智能控制算法。采用两层递阶结构和模糊逻辑对城市交通干线进行实时协调控制。上层是协调控制器智能体,根据一段时间内交通流数据计算干线上优化的公共周期时间和上下行相位差,下层是路口控制器智能体,确定每个周期内各交叉口的绿信比。周期依照关键路口饱和度的大小由模糊控制算法进行优化,而相位差根据上下行速度进行计算,绿信比基于历史和实时的交通数据确定。实例分析表明该双向绿波带控制算法能够有效减少车辆在干线上的平均停车次数。

Dynamic intelligent coordinated control with arterial traffic based on multi-agent

T o reduce the mean delay t ime o f v ehicles on ar tery , a dy namic two-direct ion green w ave intelligent cont rol st rateg y based o n multi-g aent w as presented. Tw o-layer hierarchical st ructur e and fuzzy log ic w er e used to solve the coor dinated contr ol problem of the ar tery . Up-run o ff set and dow n-run of fset in arterial w ere calculated by CCA ( coo rdinat ion contr oller agent ) . The splits of each intersect ion in ar terial w er e adjusted by ICA ( intersect ion contr oller ag ent ) at the end o f each cy cle. T he cy cle t ime w as adjusted by a fuzzy arithmet ic according to the t raff ic f low saturatio n deg ree of the key intersect ion o n ro ad. T he of fset s w ere calculated by the up-run speeds or the dow n-r un speeds. T he variable split s of each inter sectio n w ere based o n histor ical and real-time t raf fic informat ion. T he factual application result s show that the st rateg y can reduce av erag e stop number of vehicles on artery ef fectively