摘要
路网交通状态描述是智能交通诱导系统中非常重要的一个环节,对诱导效果有很直接的影响.文章对路网交通状态描述向量的构成及计算方法进行了研究,结合智能交通诱导系统短时交通流预测,提出了包含诱导单元所在路段综合饱和度、诱导单元下游路段综合饱和度和目标区域综合饱和度等分量构成的路网交通状态向量.提出了路段综合饱和度的计算方法,设计了路网相似状态合并规则,并对综合饱和度中路段权重的动态确定过程进行了研究.对路网交通状态描述方法的有效性及状态提取参数对诱导效果的影响进行了多次仿真试验,通过对仿真结果进行分析,证明了上述路网交通状态描述方法在智能交通诱导系统中是有效的.
Description of traffic state of road network is one of the most important aspects in intelligent dynamic route guidance system （DRGS）, which has direct effect on guidance. The components of state vector and calculation methods of road network are studied. Combined with the short-term forecasting of traffic flow in intelligent DRGS, the state vector of road network is proposed. The state vector includes comprehensive saturations of the road on which the guidance unit locates, the downstream roads of guidance unit and the objective regions. The calculation method of comprehensive saturation and merger rules of similar state are designed. The dynamic determination process of road weight in the comprehensive saturation is also studied. Many simulation experiments are conducted to verify the effectiveness of description method and the impact of state parameters on guidance effect. The results and analysis indicate that the proposed description method of road network is effective in intelligent DRGS.
出处
《系统工程学报》
CSCD
北大核心
2009年第1期25-31,38,共8页
Journal of Systems Engineering
基金
国家863计划资助项目(2006AA11Z210)
国家自然科学基金资助项目(70671073)
关键词
交通诱导系统
路网
交通流
仿真
route guidance system
road network
traffic flow
simulation
