北京交通大学学报2025，Vol.49Issue(4)：72-83,12.DOI:10.11860/j.issn.1673-0291.20240108
商用车编队化对混合交通流排放抑制效益评价
Evaluation of the effectiveness of commercial vehicle platooning in reducing emissions from mixed traffic flow
摘要
Abstract
The proportion and scale of connected commercial vehicles significantly influence traffic flow speed,which in turn affects overall vehicular emissions across the road network.To address the lack of quantitative evaluation methods for the impact of connected commercial vehicle platooning on over-all network emission reductions,this study develops a large-scale traffic simulation model based on SUMO to quantify emission reductions under future platooning scenarios.First,a large-scale highway simulation environment is established in SUMO by calibrating against real-world highway data.Next,within a joint SUMO-Python simulation framework,car-following and fuel consumption models for various vehicle types are configured,and emissions are calculated using the MOVES software.Using formation size and penetration rate as variables,platoons consisting of 2 to 8 commercial vehicles are simulated under free-flow conditions to analyze fuel consumption and emissions at different penetration levels.Finally,the study proposes optimal platoon sizes for the target road network at varying penetra-tion rates.The research results indicate that average instantaneous fuel consumption of the platoon de-creases as platoon size increases,reaching minimum values at platoon sizes of 4 and 8 vehicles,but rises with increasing penetration rates.Compared to a baseline scenario,higher platoon penetration rates and larger platoon sizes yield maximum reductions of 22.25%in fuel consumption,21.09%in CO₂,16.91%in HC,19.36%in NOₓ,15.23%in PM2.5,17.39%in PM10,and 26.06%in CO emissions.Both emissions and fuel consumption decline as penetration rates rise;under fixed penetra-tion,they further decrease with larger platoon sizes.Overall,increasing both penetration rate and pla-toon size leads to significant reductions in total fuel consumption and pollutant emissions from road traf-fic flow.关键词
公路运输/混合交通流/商用车编队/碳排放/SUMO仿真Key words
road transportation/mixed traffic flow/commercial vehicle platooning/carbon emissions/SUMO simulation分类
交通工程引用本文复制引用
岳康博,田顺,邱兆文..商用车编队化对混合交通流排放抑制效益评价[J].北京交通大学学报,2025,49(4):72-83,12.基金项目
国家自然科学基金(52072045) （52072045）
西安市科技计划项目(24ZDCYJSGG0011)National Natural Science Foundation of China(52072045) （24ZDCYJSGG0011）
Xi'an Science and Technology Plan Project(24ZDCYJSGG0011) （24ZDCYJSGG0011）
