摘要
为克服现有交叉口信号控制优化方法在实际应用中的局限性,利用二维元胞传输模型构建交叉口信号的元胞传输模型。以交叉口饱和度的函数作为通行能力权重,综合考虑交叉口各进口的交通状态,并对过饱和进口引入饱和度的罚函数,实现对过饱和进口的优先优化;最后利用遗传算法进行交叉口信号控制的动态优化求解。实例验证表明:所构建的模型同时适用于过饱和及非饱和交叉口的信号控制优化,并可有效降低过饱和进口道及交叉口整体的饱和度,有助于提升交叉口的整体通行效益。
In order to overcome the practical limitation of the intersection signal control optimization method, the two-dimensional cell transmission model is used to establish the cell transmission model of the signal intersection. The function of intersection saturation degree is used as weight of capacity, the traffic states of all the entrances are taken into consideration in all the intersections, and the penalty function of the oversaturated entrance is introduced and the oversaturated entrance is optimized with priority. Genetic algorithm is used to calculate the dynamic optimization of the intersection signal control. The experiments show that the established model applies to the signal control optimization of both the saturated and unsaturated intersections can effectively reduce the saturation degree of the oversaturated entrance and the whole intersection, and is helpful to improve the through efficiency of the saturated intersection.
出处
《山东交通学院学报》
CAS
2017年第3期30-37,共8页
Journal of Shandong Jiaotong University
关键词
信号控制优化
元胞传输模型
饱和度
通行能力
遗传算法
signal control optimization
cell transmission model
saturation
capacity
genetic algorithm