基于叠加相位的交叉口非常规污染物多目标优化

Multi-objective Optimization of Unconventional Pollutants at Intersection Based on Superposition Phase

为减少交叉口非常规污染物排放,本文主要对基于叠加相位的交叉口非常规污染物进行多目标优化。在增设叠加相位的交叉口,运用改进的快速非支配排序遗传算法,对车辆非常规污染物和车均延误进行优化,为验证改进算法的有效性,通过VISSIM与MOVES联合仿真平台,在青岛市设有叠加相位的山东路和敦化路交叉口进行验证。验证结果表明,基于叠加相位的多目标配时优化,对车均延误和机动车非常规污染物排放具有一定的优化效果。各路径中车均延误最大优化达51.4%,全区域内的车均延误降低了14.6%,优化前后停车时间下降20.53%。大多数非常规污染物有不同程度的下降,有少数污染物略有增加,但影响较小。本研究为缓解交通拥堵提供了理论依据。

In order to reduce the emission of non-conventional pollutants at intersections,the improved fast non-dominated sorting genetic algorithm was used to optimize the non-conventional pollutants and vehicle delay at intersections with additional superposition phases,and the intersection of Shandong Road and Dunhua Road with superposition phases in Qingdao was verified.The verification results show that the multi-objective timing optimization based on superposition phase has a certain optimization effect on vehicle average delay and vehicle unconventional pollutant emission.The maximum optimization of delay per vehicle in each path reached 51.4%,the delay per vehicle in the whole region was reduced by 14.6%,and the stop time before and after optimization was reduced by 20.53%.Most non-conventional pollutants have decreased to varying degrees,and a few have increased slightly,but the impact is small.This study provides a theoretical basis for alleviating traffic congestion.