【摘要】 针对路网中可大规模采集的流量、速度数据,结合主流排放模型广泛应用的VSP参数,提出了面向排放测算的交叉口运行模式模型,为动态评估路网中的交叉口排放提供了测算依据.通过对交叉口区域的运行模式分布特征分析,提取交叉口运行模式关键特征参数,建立基于粒子群聚类算法的交叉口运行模式分布模型.通过本模型和MOVES模型计算交叉口排放,本模型预测HC、CO、NO_x污染物的误差分别为6.08%、0.80%、4.18%,而MOVES模型的预测误差分别为38.67%、28.87%、12.22%.更多还原

【Abstract】 Since traditional traffic parameters, such as flow and velocity can be easily obtained from road traffic networks, and alsothe Vehicle Specific Power(VSP)-based approach to calculate vehicle emissions is widely used in the state-of-practice emission models, the modeling results could be used directly in the calculation in emission models, which takes into account the different operation modes of the intersection, thus enabling the dynamic evaluation of emission benefits of traffic networks. Based on the character analysis of the operating mode distribution at intersections, the characteristic parameters of intersection operating modes are identified. Then, the intersection operating mode distribution model is established based on the Partical Swarm Optimization K-Means cluster algorithm. Compared with the real-world data, the errors of the emissions of HC, CO, NO_x is 6.08%, 0.80%,4.18% based on the proposed model, and 38.67%,28.87%, 12.22% based on MOVES respectively.更多还原