重庆理工大学学报（自然科学版）2018，Vol.32Issue(6)：115-121,7.DOI:10.3969/j.issn.1674-8425(z).2018.06.018
基于MOVES的城市道路交叉口组织优化排放分析
The Emission Research of Urban Road Intersection Organization Optimization Measures Based on MOVES
摘要
Abstract
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 of organization optimization measures on the emission.Average traffic delay of the basic intersections is 28.5 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 NOx emission 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 NOx emission 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 1089.25g/h,and NOx emissions are 1 369.84 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.关键词
MOVES模型/交通排放/组织优化/减排策略Key words
MOVES model/traffic emissions/organizational optimization/emission reduction strate-gies分类
交通工程引用本文复制引用
巴兴强,徐孟发,李洪涛..基于MOVES的城市道路交叉口组织优化排放分析[J].重庆理工大学学报（自然科学版）,2018,32(6):115-121,7.基金项目
黑龙江省自然科学基金资助项目(E2016001) （E2016001）
