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Gradual rasterization: redefining spatial resolution in transport modelling

机译:逐步栅格化:在运输模型中重新定义空间分辨率

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It is a challenge to find the appropriate level of spatial resolution in transport modelling. While the zone system has substantial influence on model results, the resolution and design of zones is rarely analyzed systematically, and even less commonly adjusted to a specific modelling need. In this paper we present a new methodology to automatically create a new zone system based on the quadtree algorithm specific to transport modelling. Gradual raster cells are generated, where smaller raster cells tend to be used in urban areas and larger raster cells dominate in low-density, rural areas. As changing the zonal resolution affects the number of intrazonal and interzonal trips, an algorithm has been developed that adjusts intrazonal trips in line with the network resolution. Trip tables of a travel demand model for the state of Georgia, USA were disaggregated using this new zone system of gradual raster cells. The traffic assignment results validate significantly better than when using the original zone system.
机译:在运输建模中找到合适的空间分辨率水平是一个挑战。尽管区域系统对模型结果有重大影响,但很少对区域的分辨率和设计进行系统的分析,甚至很少针对特定的建模需求进行调整。在本文中,我们提出了一种新的方法,该方法可基于特定于运输模型的四叉树算法自动创建新的区域系统。生成逐步栅格像元,其中较小的栅格像元倾向于在城市地区使用,较大的栅格像元在低密度的农村地区占主导地位。由于更改区域分辨率会影响区域内和区域间行程的数量,因此开发了一种算法,该算法可根据网络分辨率调整区域内行程。使用此新的渐变栅格像元区域系统,对美国乔治亚州的旅行需求模型的旅行表进行了分类。与使用原始区域系统相比,流量分配结果的验证效果要好得多。

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