交通运输系统工程与信息
交通運輸繫統工程與信息
교통운수계통공정여신식
JOURNAL OF COMMUNICATION AND TRANSPORTATION SYSTEMS ENGINEERING AND INFORMATION
2014年
4期
222-229
,共8页
何巍楠%刘莹%孙胜阳%程颖
何巍楠%劉瑩%孫勝暘%程穎
하외남%류형%손성양%정영
城市交通%排放模型%温室气体排放%碳排放因子
城市交通%排放模型%溫室氣體排放%碳排放因子
성시교통%배방모형%온실기체배방%탄배방인자
urban traffic%emission modeling%greenhouse gas emissions%carbon emission factors
交通温室气体排放和空气污染越来越受到国内各城市的广泛关注。控制温室气体排放和污染物排放的关键是找到排放的源头并进行科学量化,从而制定有针对性的政策措施。鉴于我国目前还没有发布全国性的交通排放评估方法,本文基于欧洲道路排放因子模型并结合北京实际的道路交通运行工况和车辆结构数据,采用自下而上的建模方法,利用车型分类、交通状态、工况单元和活动水平进行模型的数据划分,使用平均速度(V)、行驶过程中停车时间比例(SP)和相对正加速度(RPA)三个特征值作为描述工况单元的统计特征参数,借用计算机仿真构建了本地化的交通排放因子库,并在此基础上开发了基于交通活动水平的交通排放测算模型。该模型不仅能够建立北京市的交通能源消耗、温室气体排放和污染物排清单,而且能够与宏观交通模型无缝衔接,评估不同的交通政策对交通减排的潜在影响。
交通溫室氣體排放和空氣汙染越來越受到國內各城市的廣汎關註。控製溫室氣體排放和汙染物排放的關鍵是找到排放的源頭併進行科學量化,從而製定有針對性的政策措施。鑒于我國目前還沒有髮佈全國性的交通排放評估方法,本文基于歐洲道路排放因子模型併結閤北京實際的道路交通運行工況和車輛結構數據,採用自下而上的建模方法,利用車型分類、交通狀態、工況單元和活動水平進行模型的數據劃分,使用平均速度(V)、行駛過程中停車時間比例(SP)和相對正加速度(RPA)三箇特徵值作為描述工況單元的統計特徵參數,藉用計算機倣真構建瞭本地化的交通排放因子庫,併在此基礎上開髮瞭基于交通活動水平的交通排放測算模型。該模型不僅能夠建立北京市的交通能源消耗、溫室氣體排放和汙染物排清單,而且能夠與宏觀交通模型無縫銜接,評估不同的交通政策對交通減排的潛在影響。
교통온실기체배방화공기오염월래월수도국내각성시적엄범관주。공제온실기체배방화오염물배방적관건시조도배방적원두병진행과학양화,종이제정유침대성적정책조시。감우아국목전환몰유발포전국성적교통배방평고방법,본문기우구주도로배방인자모형병결합북경실제적도로교통운행공황화차량결구수거,채용자하이상적건모방법,이용차형분류、교통상태、공황단원화활동수평진행모형적수거화분,사용평균속도(V)、행사과정중정차시간비례(SP)화상대정가속도(RPA)삼개특정치작위묘술공황단원적통계특정삼수,차용계산궤방진구건료본지화적교통배방인자고,병재차기출상개발료기우교통활동수평적교통배방측산모형。해모형불부능구건립북경시적교통능원소모、온실기체배방화오염물배청단,이차능구여굉관교통모형무봉함접,평고불동적교통정책대교통감배적잠재영향。
Transport emissions of greenhouse gases and air pollution have attracted extensive attention of cities in China. To identify the source of emissions and scientific quantitative description is the key to control greenhouse gas emissions and pollutants, which will develop targeted policies and measures. China, at the moment, has not published a nationally accepted tool to assess emissions in the urban transport sector. This paper is based on technical ideas of handbook of road emission factors in Europe and combining the reality driving cycle of Beijing road and vehicle structure data, using bottom-up modeling method, dividing by the vehicle classification, traffic situation, driving cycle unit and traffic activity data, and using the average speed (V), stop time percentage (SP) and relative positive acceleration (RPA) three characteristic values as de-scribed driving cycle unit statistical characteristic parameter. Using computer simulation technology to build the localization traffic emission factor, and on this basis to develop the traffic emission measurement model based on traffic activity data. The model not only can establish the list of Beijing traffic energy consumption, greenhouse gas emissions and pollutants, and able to seamlessly link with macroscopic traffic model, evalua-tion of different transportation policy impact on the traffic emission reduction potential.