Open Cycling Data [#RARITAN]

• Ashraf Abdo
• Dimitar Minovski
• Niklas Kolbe

The idea is to crowd source bicycling data in terms of the cycling routes and times to improve biking conditions in cities.

With the help of this data, the city, municipality or region could maintain and provide biking routes that correspond to the demand and enhance services on busy routes. Also analysis in terms of traffic (e.g. traffic lights) could consider the cycling data.

The user just needs to run a mobile application while he is biking to track the route. The tracked routes will then be sent to the server. The anonymously gathered data will be accessible via an open REST API.

The mobile application will provide this set of features:

The webserver allows to store and retrieve data through the REST API which provides:

To demonstrate what could be done with the data we implemented an example service which accesses the Open Bicycling Data:

Some details about the implementation.

• IDE: Android Studio
• Android phone for testing (Android OS 5)
• Location sensor, network connection

• IDE: Cloud9
• Node JS framework: Express JS
• MongoDB, Mongoose for access
• Google Maps API for geocoding

• Open Cycling Data API (developed by us)
• Google Maps API

The complete Open Cycling Data API Documentation is available in .json and .yaml format: open_cycling_data_api.zip

A short summary: The API can be accessed via https://lutcodecamp-niklaskolbe.c9.io/biketracks/{datarequest}/{country}/{region}?{parameters}

• datarequest = all|geojson|coordinates. Defines the respond format. Available: all the date, GEOJSON format or just coordinates.
• country = the country name or country code (e.g. finland or fi)
• region = city or area in a country (e.g. lappeenranta)

It allows following optional parameters:

• year
• month
• day
• limit (to limit respond to x datasets)

Request: https://lutcodecamp-niklaskolbe.c9.io/biketracks/all/finland/lappeenranta?year=2015&month=3&day=5&limit=100

Example response:

[
  {
    "_id":"54f873dd8a87341d583aa4d2",
    "country":"finland",
    "country_code":"fi",
    "administrative_area_level_1":"",
    "administrative_area_level_2":"lappeenranta",
    "locality":"",
    "postal_code":"53850",
    "__v":0,
    "timestamps":[
       "2015-03-05T15:17:10.487Z",
       "2015-03-05T15:17:18.831Z",
       "2015-03-05T15:17:30.220Z"
    ],
    "coordinates":[
       {
          "latitude":61.04799,
          "longitude":28.08706,
          "_id":"54f873dd8a87341d583aa4d5"
       },
       {
          "latitude":61.04657,
          "longitude":28.09506,
          "_id":"54f873dd8a87341d583aa4d4"
       },
       {
          "latitude":61.04767,
          "longitude":28.09706,
          "_id":"54f873dd8a87341d583aa4d3"
       }
    ]
  }
]

Request: https://lutcodecamp-niklaskolbe.c9.io/biketracks/geojson/finland?year=2015&month=3

Example response:

{
 "type":"FeatureCollection",
 "features":[
    {
       "type":"Feature",
       "geometry":{
          "type":"LineString",
          "coordinates":[
             [
                61.04767,
                28.09706
             ],
             [
                61.04767,
                28.09706
             ],
             [
                61.04767,
                28.09706
             ]
          ]
       }
    }
  ]
}

Request: https://lutcodecamp-niklaskolbe.c9.io/biketracks/coordinates/finland/lappeenranta?year=2015

Example respond:

[
 [
    61.06173,
    28.10345
 ],
 [
    61.05953,
    28.10354
 ],
 [
    61.05568,
    28.10794
 ]
]

The “external” webservice is accessible via http://lutcodecamp-niklaskolbe.c9.io/{country}/{region}

The web service accesses the Open Cycling Data API and creates a google heat map.

By specifying a country and/or a region the map will be centered and the data filtered accordingly. As for the API, the website accepts the optional parameters year, month and day and also filters the data accordingly.

Presentation: http://bit.ly/OpenCyclingData

Report: codecampreport.pdf

Poster: raritan_poster.pdf

Source code API + webservice: opencyclingdata_heatmap.zip

Source code mobile application: gpstracker-master.7z