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A Forecasting Method of Trip Generation Based on Land Classification Combined with OD Matrix Estimation

机译:基于土地分类的跳闸生成预测方法与OD矩阵估计相结合

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Based on the traffic analysis zones (TAZ) divided according to the type of land use, the trip generation volume of each TAZ can be calculated by using trip generation rates in land classification method, which urges us to find appropriate generation rates to ensure the reliability of the results. While OD matrix estimation method can acquire trip generation volume according to the volume of road sections with the drawback that this method requires to complete road traffic data and reasonable prior matrix. The paper combines the advantages of the two methods mentioned above. First, the trip generation volume of each TAZ is still calculated based on the generation rates, which can be used to calibrate the OD matrix estimation model. Once the OD matrix is estimated, the generation rates can be refined, and thus a new OD matrix can be computed. Then keep adjusting the data until it meets the accuracy demand. At last, a statistical test which can be used to judge the iteration will be presented.
机译:基于交通分析区(TAZ)根据土地使用的类型分开,每个TAZ的行程生成量可以通过使用陆地分类方法的跳闸生成速率来计算,这促使我们找到适当的产生速率以确保可靠性结果。虽然OD矩阵估计方法可以根据道路部分的体积获取旅行生成体积,其缺点是该方法需要完成道路交通数据和合理的先前矩阵。本文结合了上述两种方法的优点。首先,每个TAZ的行程生成量仍然基于生成速率计算,可用于校准OD矩阵估计模型。一旦估计了OD矩阵,就可以精制生成速率,因此可以计算新的OD矩阵。然后继续调整数据,直到它符合精度需求。最后,将呈现可用于判断迭代的统计测试。

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