绿波协调控制的子区动态划分算法

Subarea dynamic division algorithm based on green wave coordinated control

中文关键词  子区动态划分  绿波协调控制  最大绿波带优化模型  绿波带带宽达到率  遗传模拟退火算法

英文关键词  subarea dynamic division  green wave coordination control  the maximum bandwidth optimization model  the bandwidth attainability  genetic simulated annealing algorithm

中文摘要

      为了提高子区划分的效率, 本文提出了一种基于绿波协调控制的二次划分子区的模型. 首先, 根据距离、流 量和周期3原则, 提出基于可协调度的粗划分指标对子区进行初次划分. 然后, 在最大绿波带优化模型的基础上, 引 进绿波带带宽达到率为细划分指标, 对子区进行再次细划分, 同时引入调整指数对子区进行在线调整, 实现了子区 划分及其信号配时参数优化的同步. 最后, 利用遗传模拟退火算法对子区划分方案快速寻优, 实现了绿波协调控制 的子区实时动态划分. 通过算例分析表明, 该控制方案能提高路网的通行能力, 具有良好的稳定性和高效性.

英文摘要

      To improve the efficiency of subarea division, we introduce the secondary division model based on the green wave coordinated control. Firstly, an evaluation criterion named coordination degree is employed in accomplishing the coarse division, which is based on distance, traffic volume and cycle time. Next, in accordance with the maximum bandwidth optimization model, we introduce the bandwidth attainability as the fine division index and implement the secondary division. Meanwhile, an adjustment index is employed to realize the online adjustment of the subarea, so it can realize the synchronization between the subarea division and the signal timing-parameter optimization. Moreover, using the genetic simulated annealing algorithm to develop the optimal subarea partition scheme, we obtain the green wave coordinated control of sub-zone real-time dynamic division. Finally, the analysis results of the example show that the proposed control scheme can improve the traffic capacity of road network with a good performance in stability and efficiency.