将静脉坐标转换为GPS [英] Converting Veins Coordinates to GPS

问题描述

我正在使用从 OpenStreetMap 导入的现实街道网络进行静脉模拟，例如Lara Codeca的卢森堡场景.现在，要准备可视化(使用Google Earth)，我想将仿真中的车辆位置从SUMO或OmNET坐标导出到GPS坐标.

I am using realistic street networks imported from OpenStreetMap for simulations with Veins, for example the Luxembourg scenario from Lara Codeca. Now, to prepare a visualisation (using Google Earth), I want to export the vehicle positions in the simulation from SUMO or OmNET coordinates to GPS coordinates.

作为材料，我具有用于生成场景的OSM文件，包括那里所有节点的GPS位置.我希望能找到一个从模拟坐标到GPS坐标的简单映射，例如，通过了解边界框和模拟运动场角的GPS坐标.

As material I have the OSM file used for generating the scenario, including the GPS positions of all nodes there. I was hoping to find a simple mapping from the simulation coordinates to GPS coordinates, for example, by knowing the GPS coordinates of the corners of the bounding box and the simulation playground.

是否有一种简单的转换方法?在生成运动场时，如何找到OSM转换使用的实际拐角?

Is there a simple way to make this conversion, and how can I find the actual corners that were used by the OSM conversion when generating the playground?

推荐答案

转换如下:

// Adapt your path to the mobility module here  
Veins::TraCIMobility* mobility =
  check_and_cast<Veins::TraCIMobility*>(
    getParentModule()->getSubmodule("veinsmobility"));

Veins::TraCICommandInterface* traci = mobility->getCommandInterface();

Coord currPos = mobility->getCurrentPosition();
std::pair<double, double> currLonLat = traci->getLonLat(currPos);

getLonLat()为我返回了绝对的2D坐标，因此需要一个转换步骤.

getLonLat() returned absolute 2D coordinates for me, so there is a conversion step required.

SUMO的.net.xml文件包含所需的转换. <location>标记包含所需的属性netOffset和projParameters.

The .net.xml file from SUMO contains the required transformation. The <location> tag contains the attributes netOffset and projParameters that are needed.

对于卢森堡来说，这些是

For the Luxembourg scenario, these are

netOffset="-285448.66,-5492398.13"
projParameter="+proj=utm +zone=32 +ellps=WGS84 +datum=WGS84 +units=m +no_defs"

3.逆转转变

可以使用库 PROJ.4 进行反转.还提供了Python界面( pyproj ).

3. Inversing the Transformation

The library PROJ.4 can be used to do the inversion. A Python interface is also available (pyproj).

import pyproj

projection = pyproj.Proj(
  "+proj=utm +zone=32 +ellps=WGS84 +datum=WGS84 +units=m +no_defs")

# x, y obtained from OmNET
lon, lat = projection(x, y, inverse=True)

如果只有相对位置信息可用，则必须先通过向其添加netOffset值来调整x，y值.

In case only the relative location information is available, the x, y values must be adjusted first by adding the netOffset values to them.

构建SUMO --with-proj-gdal支持时仅第一步是必要的，getLonLat()的结果将立即以所需的格式显示.

Only the first step is necessary when you build SUMO --with-proj-gdal support, the result of getLonLat() will be in the desired format immediately.

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