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2021, 02, v.19;No.72 11-24
交通仿真模型融合微观车辆排放模型研究综述
基金项目(Foundation): 国家自然科学基金(52002113);; 江苏省自然科学基金(BK20200526);; 中央高校基本科研业务费专项资金(B200202084)
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摘要:

为评估交通管控策略的潜在环境效益,在交通仿真模型中融合微观车辆排放模型,可仿真估计机动车污染物排放特征。论文比较分析了微观车辆排放模型的基本特点,总结了微观车辆排放模型本地化移植的方法与进展;对宏观、中观、微观多层级交通仿真模型融合微观车辆排放模型的方法进行了综述分析。研究发现,宏观及中观交通仿真模型与微观车辆排放模型的融合方法主要体现在机动车污染物排放因子修正及车流运行轨迹重建上。现有研究者对微观交通仿真模型融合微观车辆排放模型是否能够准确地估计机动车污染物排放特征存在分歧,表现在微观交通仿真模型输出的车辆比功率分布特征与观测的真实值存在不一致性。最后讨论了模型融合应用发展的未来研究方向。该综述对交通仿真模型融合微观车辆排放模型的一体化平台设计具有重要参考价值。

Abstract:

To assess the environmental benefits of transportation management or control strategies, it is necessary to integrate traffic-simulation models with microscopic vehicle-emission models to estimate the vehicle-emission characteristics. We first analyze the basic characteristics of microscopic vehicle-emission models, and review the localization approaches of such models in China. We then review and analyze the approaches for integrating multi-level traffic-simulation models with micro vehicle-emission models. The results reveal that localized vehicle-emission factor estimation and traffic-flow trajectory reconstruction are the key steps in integrating macroscopic and mesoscopic traffic-simulation models and microscopic vehicle-emission models, respectively. Moreover, findings from existing research are not very consistent in terms of the accuracy of vehicle-emission estimation with microscopic traffic-simulation models. This is caused by differences in the calculated vehicle-operation-mode distributions between the simulation results and field observations. Finally, the future research directions and application areas of model integration are discussed. The results from this paper will be of significant value to related research on integrating traffic-simulation models and microscopic vehicle-emission models.

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基本信息:

中图分类号:U495

引用信息:

[1]单肖年,陈小鸿.交通仿真模型融合微观车辆排放模型研究综述[J],2021,19(02):11-24.

基金信息:

国家自然科学基金(52002113);; 江苏省自然科学基金(BK20200526);; 中央高校基本科研业务费专项资金(B200202084)

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