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Experimental Design, Data Collection and Model Development To Forecast Vehicle Modes of Operation

机译:预测车辆运行模式的实验设计,数据收集和模型开发

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Researchers have identified and quantified shortcomings of existing mathematical models for predicting emissions from motor vehicles, especially with regard to sensitivity to the operating modes of vehicles. In response, major efforts are underway to develop a new generation of emissions mdoels. However, in current regional modelign practice, there are no tools for forecasting vehicle activity modes that are needed as input to this new generation of models. Other options available for forecasting activity are crude and are not sensitive to changes in traffic conditions brought about by current and emerging transportation planning alternatives. In order to address this shortcoming, researchers at Georgia Institute of Technology, Unviersity of California at Davis, San Jose University and California Polytechnic University in Sn Luis Obispo are developing a method to forecast modes of vehicle activity.
机译:研究人员已经发现并量化了现有数学模型的不足,这些数学模型可用于预测机动车的排放,特别是在对车辆运行模式的敏感性方面。作为响应,正在努力开发新一代的排放模型。但是,在当前的区域模型实践中,没有用于预测车辆活动模式的工具,这些工具是这种新一代模型的输入。可用于预测活动的其他选项是粗略的,并且对当前和新出现的运输计划替代方案所带来的交通状况变化不敏感。为了解决这个缺点,位于加州大学戴维斯分校的佐治亚理工学院,圣荷西大学和锡路易斯·奥比斯波的加州理工大学的研究人员正在开发一种预测车辆活动方式的方法。

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