作　　者： ; ;

机构地区： 华南理工大学

出　　处： 《华南理工大学学报（自然科学版）》 2013年第4期77-82,共6页

摘　　要： 引入群体动力学理论中的相聚度概念,给出了相邻交叉口相聚度的计算公式.通过控制子区边界、设置基于交叉口相聚度的子区划分约束条件,实现了分层、分步的交通控制子区划分策略,建立了一个基于群体动力学的交通控制子区划分模型,设计了一个完整的最佳控制子区划分方案获取流程,采用交叉口群聚类算法实现了对控制子区划分方案的综合性分析评价.算例分析表明,所提出的基于群体动力学的协调控制子区划分方法是有效的,根据交叉口相聚度得到的控制子区划分方案可以减少路网交通流的总停车次数和停车延误. By introducing the concept of group clustering degree in the group dynamics theory, some formulas are deduced to calculate the clustering degree at adjacent intersections. Then, by controlling the subarea border and setting the constraint conditions for subarea division, a layered substep strategy of subarea division for traffic control is developed and a subarea division model based on the group dynamics theory is established. Moreover, the complete acquiring process of optimal subarea division is presented, and the subarea division schemes are comprehensively analyzed and evaluated with the intersection group clustering algorithm. Example results indicate that the proposed division method of coordinated control subareas based on the group dynamics theory is effective because it decreases the total number of vehicle stops as well as the stop delay in road networks.

关 键 词： 交通控制 子区划分 群体动力学 相聚度 群聚类算法

领　　域： [交通运输工程] [交通运输工程]