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Traffic Environmental Capacity and MFD Based Traffic Emission Dynamic Control Model

机译:基于交通环境容量和基于MFD的交通排放动态控制模型

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摘要

In recent years, the transportation system has become a major source of air pollution. Consequently, it is vital to improve traffic efficiency to preserve urban air quality. Based on the environmental traffic capacity and the macroscopic fundamental diagram theory, the multi-objective programming model is adopted to describe the relationship between traffic emissions and traffic capacity. Then a dynamic traffic volume control method is developed for regional traffic management, which is the feedback gating control method based on the traffic conditions in controlled urban areas. As a case study, the proposed methodology is applied to a road network located in central area of Nanjing. The traffic flow going in and out the study area is controlled by gates via signals to make sure the vehicle amounts and emissions in study area are under the threshold obtained by multi-objective model. The results show that traffic efficiency has improved significantly and that the urban air quality is ensured. This paper can offer some recommendations regarding urban traffic management and air pollution control.
机译:近年来,运输系统已成为空气污染的主要来源。因此,提高交通效率以保持城市空气质量至关重要。基于环境交通容量和宏观基础图论,采用多目标规划模型描述交通排放量与交通容量之间的关系。然后开发了一种用于区域交通管理的动态交通量控制方法,该方法是基于受控城市地区交通状况的反馈门控方法。作为案例研究,将所提出的方法应用于位于南京市中心地区的道路网络。进出研究区域的交通流量由大门通过信号进行控制,以确保研究区域内的车辆数量和排放量低于多目标模型获得的阈值。结果表明,交通效率得到了显着提高,并确保了城市空气质量。本文可以为城市交通管理和空气污染控制提供一些建议。

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