Estimation of Pollutant Emissions from the Road Traffic at a City Scale, and Its Sensitivity as Regards the Calibration of the Static Traffic Assignment Models
Estimation of Pollutant Emissions from the Road Traffic at a City Scale, and Its Sensitivity as Regards the Calibration of the Static Traffic Assignment Models
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城市尺度道路交通污染物排放估算及其对静态交通分配模型校准的敏感性
DOI：
10.1016/j.sbspro.2012.06.1182
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
L. Leclercq
中科院分区：
文献类型：
--
作者：
Eugénie Brutti;Sonia Teillac;M. André;L. Leclercq
在这项工作中，我们研究如何不确定性的输入数据的耦合交通的分配和污染物排放模型影响所产生的交通和污染物排放。我们分析的敏感性的方法方面的情况下定义（O/D矩阵和车队组成）和校准过程中，主要包括在拟合的速度-流量曲线。情景定义的变化会导致污染物排放和交通量的变化约15%，而速度-流量曲线的变化会影响它们约5%。补充分析表明，出行需求的变化对交通量有显著影响，车辆组成的变化对颗粒物（PM）、CO2和NOx排放量有显著影响，而速度-流量曲线形状的变化主要影响交通速度。
In this work, we study how uncertainties on input data of the coupling traffic of the assignment and pollutant emission models affect the resulting traffic and pollutant emissions. We analyse the sensitivity of the approach as regards the scenario definition (O/D matrix and vehicle fleet composition) and as regards the calibration process, which mostly consists in fitting the speed-flow curves. Variations on scenario definition induce changes of about 15% on pollutant emissions and traffic whereas variations on speed-flow curves affect them by about 5%. Complementary analyses show that variation of the travel demand significantly influences traffic, variation of the vehicle fleet composition significantly influences particulate matter (PM), CO2and NOxemissions, while variation of the shape of speed-flow curve mainly influences the traffic speeds.