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Dante dynamic mapping solutions

Modular Dynamic GIS platform with HTML view

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DANTE DYNAMIC MAPPING


Dante

Dante in brief

  • Modular GIS software platform
  • Time slider for temporal changes
  • Big data ready
  • Hierarchically organised spatial data
  • Fast configuration of new sources
  • Data type independent
  • Launch directly from the browser
  • Geographic web services hosting
  • Available through an API

Due to the modular approach, Dante is highly configurable during all three steps of development

Some examples of the variability of the model-view-controller, without aiming at completeness:

  • Data
    Formats
      Json, XML, Protofub
      openLR, datex2, NTCIP
      CSV, excel, noSQL, SQL
    Sources
      Opensreetmap, Twitter, weather services, websites
      Propriatery software programs: shapefiles, autocad, vissim, matlab, etc
      Video feeds, country specific traffic sources for NL, UK
  • Model
    Standardization
      Elements define a location in time and space
      Dataobjects linked to elements
  • Control
    Industry standard techniques
      Java8
      OSGI
      Jetty/Netty
    Standardization of data sources as a first step
      Link, nodes, segments, areas
      Algorithms work with standardised data
    Traffic Algorithms
      Queue tracking on motorways and cities
      Shockwave tracker
  • View
    Rich html5 app for browser and mobile
      Interactive map with options to dinamically adjust time
      Situational Awareness: focus only on extra-ordinary eventualities
      Traffic 360, zooming-in/out adjusts datasource volume and intensity to reflect scope
      Leveraging NodeJs, LeafletJs, Meteor

Just Three Simple Steps: Data, Analytics and Dissemination

Any kind of Data

Flexible & Customizable data input.

Any type of data source can be assimilated. So far the following sources have been made accessible: open streetmap, openLR, loop detectors, bluetooth, floating car data, radar detector, video, weather imagery, structured feeds e.g. RSS, Datex2, unstructured data from twitter or websites. In general connecting to an API, accessing a known database or assimilating data directly from a collection of sensors is a routine task. And more is on the way.

Trackers & Algorithms

Past Present & Future Analytics.

A tracker is our construct to record any type of geo/spatial phenomena and we have applied it to congestion. We use trackers for regular (bottleneck) congestion, urban queues, shockwaves and incidents. We use databases of traces for our past analytics or as input to our prediction engine and always have trackers follow the current state of traffic on our networks.

Browser, API or mobile App

Dissemination via HTML5 or API.

All information is made accessible via internet on our traffic browser just like Google maps but with a dynamic map that changes when you change the time slider. It is accessible on all html5 capable device, secure, build on standards such as leaflet, meteor and node js.

Off-the-Shelf Modules

We have a rich set of pre-configured modules that are ready to be deployed.


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