期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
基于synchro的交叉口污染物排放与信号配时集成优化研究
1
作者 唐静 吕磊 《科技信息》 2011年第1期I0070-I0071,共2页
在传统的信号配时方法中,多数都是以车辆在交叉口的总延误最小为目标来优化信号配时的,很少考虑交通环境的因素,尤其是对机动车尾气排放的控制。本文建立了以交叉口延误最小与污染物排放最小的多目标规划模型,并运用Synchro交通仿真软... 在传统的信号配时方法中,多数都是以车辆在交叉口的总延误最小为目标来优化信号配时的,很少考虑交通环境的因素,尤其是对机动车尾气排放的控制。本文建立了以交叉口延误最小与污染物排放最小的多目标规划模型,并运用Synchro交通仿真软件对实际案例进行模拟,在模拟求解过程中发现,延误最小和排放最小往往不能同时达到最优,在多组非劣解中,应考虑土地利用性质和行人分布等因素,为相关部门做决策提供了理论依据和参考方案。 展开更多
关键词 交叉口:污染物排放:信号配时 SYNCHRO
下载PDF
城市道路交叉口颗粒物浓度及行人暴露研究 被引量:5
2
作者 高嵘 净新苗 何红弟 《环境科学与技术》 CAS CSCD 北大核心 2019年第5期214-221,共8页
为研究城市道路交叉口内部颗粒物浓度的分布规律以及评估行人暴露水平,探究了6种粒径颗粒物(0.3~0.49、0.5~0.99、1~1.99、2~4.99、5~9.99、>10μm)在交叉口的分布规律,分析研究气象要素(温度、相对湿度、风速和气压)对颗粒物浓度变... 为研究城市道路交叉口内部颗粒物浓度的分布规律以及评估行人暴露水平,探究了6种粒径颗粒物(0.3~0.49、0.5~0.99、1~1.99、2~4.99、5~9.99、>10μm)在交叉口的分布规律,分析研究气象要素(温度、相对湿度、风速和气压)对颗粒物浓度变化的影响,并基于交叉口微环境内的颗粒物浓度对不同人群的颗粒物暴露水平进行了评估。实验结果表明:粒径>5μm的颗粒物冬季高于夏季,<5μm的颗粒物夏季高于冬季,6种颗粒物数量浓度早高峰均高于晚高峰以及工作日均高于非工作日;相邻粒径范围颗粒物间显示出强相关,同时温度和气压对粒径在0.5~0.99μm间的颗粒物影响较大,相对湿度对粒径>5μm的颗粒物影响较大;PM1、PM2和PM10这3种颗粒物均在老年人的体内沉积率最高,这表明环境颗粒物对老年弱势群体的危害更大;夏季PM1、PM2和PM10的沉积率分别比冬季高出116%、112%和20%,因此相较于粗颗粒物,细颗粒物对人体健康危害更为严重。 展开更多
关键词 颗粒物 交叉口污染 主成分分析 行人暴露
原文传递
Projection pursuit model of vehicle emission on air pollution at intersections based on the improved bat algorithm
3
作者 Hu Qizhou Deng Wei +1 位作者 Tan Minjia Bian Lishuang 《Journal of Southeast University(English Edition)》 EI CAS 2019年第3期389-392,共4页
The projection pursuit model is used to study the assessment of air pollution caused by vehicle emissions at intersections. Based on the analysis of the characteristics and regularities of vehicle emissions at interse... The projection pursuit model is used to study the assessment of air pollution caused by vehicle emissions at intersections. Based on the analysis of the characteristics and regularities of vehicle emissions at intersections, a vehicle emission model based on projection pursuit is established, and the bat algorithm is used to solve the optimization function. The research results show that the projection pursuit model can not only measure the air pollution of vehicle emissions at intersections, but also effectively evaluate the level of vehicle exhaust emissions at intersections. Taking the air pollution caused by vehicle emissions at intersections as the research object and considering the influence factors of vehicle emissions on air pollution comprehensively, the evaluation index system of vehicle emissions at intersections on air pollution is constructed. Based on large data analysis, a prediction model of air pollution caused by vehicle emissions at intersections is constructed, and an improved bat algorithm is used to realize the assessment process. The application results show that the prediction model of vehicle emissions at intersections can define the degree of air pollution caused by vehicle emissions, and it has good guiding significance and practical value for solving the problem of air pollution caused by vehicle emissions. 展开更多
关键词 INTERSECTION vehicle emission POLLUTANTS projection pursuit bat algorithm
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部