dim_pedestrian_walkway_graph

A visualizer of the "spatial network model for pedestrians"

description

This project has two tools to visualize the "spatial network model for pedestrians¹".

data_importer
1. First, dim fetches the "spatial network model for pedestrians" data (Node csv and Link csv) from open data APIs.
2. Once a data fetch process is complete, dim will launch this preprocess command as a docker container automatically.
3. The launched container imports the fetched data into FIWARE.
graph_viewer
1. Once both the Node csv and Link csv have been imported into FIWARE, you can visualize the graph of patial network model for pedestrians like below:

Render all nodes and links.
Render all nodes, but render only walkways that wheelchairs and robots can easily pass through (widths of 3m or more and gentle slopes).

Preparation

Get and install dim
- First of all, install dim according to the procedure described in the dim's README.

Clone this repository.

» git clone https://github.com/nmatsui/dim_pedestrian_walkway_graph.git
» cd ./dim_pedestrian_walkway_graph

How to use

Start FIWARE

Start FIWARE orion as a docker container and make sure it starts correctly.

dim_pedestrian_walkway_graph - [main] » cd fiware
dim_pedestrian_walkway_graph/fiware - [main] » docker compose up -d
dim_pedestrian_walkway_graph/fiware - [main] » curl -v http://<<your ip address>>:1026/v2/entities/
...
< HTTP/1.1 200 OK
...
[]* Closing connection 0

dim_pedestrian_walkway_graph/fiware - [main] » cd ..

Import data into FIWARE orion

Set the ip address of FIWARE orion.
(The following command is an example when the IP address of your PC is 192.168.10.10.)

dim_pedestrian_walkway_graph - [main] » cd data_importer
dim_pedestrian_walkway_graph/data_importer - [main] » sed -e 's/<<your_ip_address>>/192.168.10.10/g' config/fiware_config.json.tmpl > config/fiware_config.json

Build a docker container importing data to FIWARE orion.

dim_pedestrian_walkway_graph/data_importer - [main●] » cd preprocess_command
data_importer/preprocess_command - [main] » docker build -t data_importer:0.1.0 .
data_importer/preprocess_command - [main] » cd ..

Fetch data and import them into FIWARE orion by using dim.

dim_pedestrian_walkway_graph/data_importer - [main●] » dim install

Confirm imported data.

dim_pedestrian_walkway_graph/data_importer - [main●] » curl -sS -H "fiware-service: pedestrian_walkway_graph" -H "fiware-servicepath:/fukushima/aizuwakamatsu" "http://192.168.10.10:1026/v2/entities/?type=Node&limit=2" | jq .
[
  {
    "id": "305258",
    "type": "Node",
    "floor": {
      "type": "number",
      "value": 0,
      "metadata": {}
    },
    "in_out": {
      "type": "integer",
      "value": 1,
      "metadata": {}
    },
    "lat": {
      "type": "number",
      "value": 37.4915265,
      "metadata": {}
    },
    "lon": {
      "type": "number",
      "value": 139.9286769,
      "metadata": {}
    }
  },
  {
    "id": "305257",
    "type": "Node",
 ...
]
dim_pedestrian_walkway_graph/data_importer - [main●] » curl -sS -H "fiware-service: pedestrian_walkway_graph" -H "fiware-servicepath:/fukushima/aizuwakamatsu" "http://192.168.10.10:1026/v2/entities/?type=Link&limit=2" | jq .
[
  {
    "id": "322656",
    "type": "Link",
    "brail_tile": {
      "type": "integer",
      "value": "1",
      "metadata": {}
    },
    "direction": {
      "type": "integer",
      "value": "1",
      "metadata": {}
    },
    "end_id": {
      "type": "string",
      "value": "305257",
      "metadata": {}
    },
...
]

dim_pedestrian_walkway_graph/data_importer - [main●] » cd ..

Visualize the graph of patial network model for pedestrians

Set the ip address of FIWARE orion.
(The following command is an example when the IP address of your PC is 192.168.10.10.)

dim_pedestrian_walkway_graph - [main●] » cd graph_viewer
dim_pedestrian_walkway_graph/graph_viewer - [main] » sed -e 's/<<your_ip_address>>/192.168.10.10/g' config/viewer_config.json.tmpl > config/viewer_config.json

Build a docker container rendering data retrieved from FIWARE orion.

dim_pedestrian_walkway_graph/graph_viewer - [main●] » docker build -t graph_viewer:0.1.0 .

Render graph

dim_pedestrian_walkway_graph/graph_viewer - [main●] » docker run -it -v $(pwd)/config:/opt/config -v $(pwd)/dist:/opt/dist graph_viewer:0.1.0 -c /opt/config/viewer_config.json -s all /opt/dist/map_all.png

You can set all, class1, class2 and class3 as -s option.
Each class represents a decision logic to connect sidewalks. See strategies.py for more details.

license

Apache-2.0 License

copyright

https://www.mlit.go.jp/common/001177505.pdf ↩

nmatsui/dim_pedestrian_walkway_graph