摘要
以城市交叉口为研究对象,选取交通运行状况与新能源车占比2个关键因素,基于微观交通仿真技术构建交通需求模型,分析其对交叉口碳排放量的影响机理。研究结果表明:交叉口碳排放量主要取决于燃油车流量及其单位碳排放强度,后者与交通运行状况直接相关。当新能源车作为燃油车替代需求时,通过降低燃油车占比可有效减少碳排放;作为新增需求时,会加剧交通拥堵,导致单位燃油车碳排放强度上升。机理研究表明:在通行顺畅状态下,碳排放量与燃油车数量呈线性关系;而在拥堵状态下,二者关系则转变为指数关系。交通运行状况每降低一个等级,单位燃油车碳排放强度增幅达15%~60%,其中从轻微拥堵向中度拥堵过渡时增幅最为显著,当达到严重拥堵状态时,增幅可达80%~90%。本研究为预测与评估城市交叉口及路网碳排放奠定了理论基础,为实施精准化交通需求管控提供科学参考。
Focusing on urban intersections,this research examines traffic operational conditions and new energy ve⁃hicle(NEV)penetration.A traffic demand model and microscopic simulation techniques were used to analyze mechanisms affecting intersection carbon emissions.Results show emissions depend on conventional vehicle flow and their per-vehicle emission rate,the latter directly linked to traffic conditions.When replacing,NEVs reduce emis⁃sions by decreasing fuel vehicle share;when added to demand,they exacerbate congestion,increasing per-vehicle emission rate.The mechanistic analysis reveals a linear emission-conventional vehicle relationship under smooth traffic,shifting to exponential under congestion(slight,moderate,or severe).Each level of traffic deterioration rai⁃ses per-vehicle emission rate by 15%~60%,with the sharpest increase(80%~90%)occurring during the slight-to-moderate congestion transition and severe congestion.This study establishes a theoretical foundation for predic⁃ting intersection/network emissions and supports precision traffic management strategies.
作者
张东明
李海锋
ZHANG Dongming;LI Haifeng(Department of Transportation Engineering,Tongji Zhejiang College,Jiaxing 314000,China;Key Laboratory of Road and Traffic Engineering,Ministry of Education,Tongji University,Shanghai 201804,China)
出处
《华南师范大学学报(自然科学版)》
北大核心
2025年第3期16-25,共10页
Journal of South China Normal University(Natural Science Edition)
基金
浙江省科技计划项目(2021C35004)
嘉兴市科技计划项目(2024AY10029)。
关键词
城市交通
碳排放
微观交通仿真
交叉口
交通运行状况
新能源车
urban transport
carbon emission
microscopic traffic simulation
intersection
traffic operation condi⁃tion
new energy vehicle
作者简介
通信作者:张东明,Email:wei_xiao99@126.com。
