摘要
将微观交通仿真模型与MOVES排放模型结合使用,以提高微观层面排放计算精度。根据MOVES计算原理,用Labview可视化编程工具搭建机动车运行工况计算平台。利用运行工况计算平台分析交叉口机动车排放特性、交叉口组织优化措施对排放效果的影响。结果表明:原始交叉口车均延误为28.5 s,平均停车次数为0.72,CO排放量为7 875.29 g/h,HC排放量为1 309.78 g/h,NOx排放量为1 509.06 g/h;对交叉口进行渠化后交通延误水平减少了9.1%,平均停车次数减少了13.9%,CO排放量为5 428.99 g/h,HC排放量为1 136.89 g/h,NOx排放量为1 407.45 g/h;设置左转待转区后交叉口延误水平减少了1.4%,平均停车次数增加了2.7%,CO排放量为10 807.18 g/h,HC排放量为1 508.76 g/h,NOx排放量为1 834.74g/h,信号配时优化后CO排放量为7 489.48 g/h,HC排放量为1 089.25 g/h,NOx排放量为1 369.84 g/h,延误水平减少了8.05%,平均停车次数减少了6.64%。排放测算平台能精确地反映交叉口排放情况的变化,可以对交通减排措施进行有效的评价。
In order to combine the microscopic traffic simulation model with MOVES emission model,improve micro-emission calculation accuracy. Based on the principles of MOVES calculation,using Labview the visual programming tool to set up vehicle operation mode distribution computing platform.This paper analyzes the vehicle emission characteristics of the intersection and the influence oforganization optimization measures on the emission. Average traffic delay of the basic intersections is28. 5 s,the average number of stops is 0. 72,and the CO emission of the intersections is 7 875. 29 g/h,the HC emission is 1 309. 78 g/h,and the NOxemission is 1 509. 06 g/h. After the intersection is channelized,the average traffic delay level was reduced by 9. 1%,the average number of stops decreased by 13. 9%,and CO emissions are 5 428. 99 g/h,HC emission is 1 136. 89 g/h,and NOx emission is 1 407. 45 g/h. The average traffic delay level of the left turn area was reduced by 1. 4%,the average number of stops increased by 2. 7%,and CO emission was 10 807. 18 g/h,HC emission was 1 508. 76 g/h,and NOxemission was 1 834. 74 g/h. After signal timing optimization,the average traffic delay level decreased by 8. 05%,the average number of parking decreased by 6. 64%,CO emissions are 7 489. 48 g/h,and HC emissions are 1089. 25 g/h,and NOxemissions are1 369. 84 g/h. Emission measuring platform can accurately reflect the change of the emission of intersection,which can make an effective evaluation of traffic emission reduction measures.
作者
巴兴强
徐孟发
李洪涛
BA Xingqiang;XU Mengfa;LI Hongtao(School of traffic and transportation,Northeast Forestry University,Harbin 150040,China)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2018年第6期115-121,共7页
Journal of Chongqing University of Technology：Natural Science
基金
黑龙江省自然科学基金资助项目(E2016001)
关键词
MOVES模型
交通排放
组织优化
减排策略
MOVES model
traffic emissions
organizational optimization
emission reduction strategies
作者简介
巴兴强，男，博士，副教授，主要从事交通污染与控制方面研究，E—mail：bxq1218@sina．com。
