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NavIT
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=====
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Navit is a open source (GPL) car navigation system with routing engine.
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It's modular design is capable of using vector maps of various formats
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for routing and rendering of the displayed map. It's even possible to
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use multiple maps at a time.
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The GTK+ or SDL user interfaces are designed to work well with touch
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screen displays. Points of Interest of various formats are displayed
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on the map.
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The current vehicle position is either read from gpsd or directly from
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NMEA GPS sensors.
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The routing engine not only calculates an optimal route to your
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destination, but also generates directions and even speaks to you.
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Navit currently speaks 27 languages :
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- Brazilian Portuguese
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- Bulgarian
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- Chinese (Hong Kong)
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- Czech
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- Danish
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- Dutch
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- English
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- Estonian
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- Finnish
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- French
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- German
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- Hebrew
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- Hungarian
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- Italian
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- Japanese
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- Norwegian Bokmal
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- Polish
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- Portuguese
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- Romanian
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- Russian
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- Slovak
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- Slovenian
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- Spanish
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- Swedish
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- Telugu
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- Thai
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- Turkish
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You can help translating via our web based translation page :
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http://translations.launchpad.net/navit/trunk/+pots/navit
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For help or more information, please refer to the wiki :
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http://wiki.navit-project.org
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If you don't know where to start, we recommend you to read the
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Interactive Help : http://wiki.navit-project.org/index.php/Interactive_help
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Maps:
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=====
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The best navigation system is useless without maps. Those three maps
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are known to work:
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- OpenStreetMaps : display, routing, but street name search isn't complete
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(see http://wiki.navit-project.org/index.php/OpenStreetMaps )
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- Grosser Reiseplaner and compliant maps : full support
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(see http://wiki.navit-project.org/index.php/European_maps )
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- Garmin maps : display, routing, search is being worked on
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(see http://wiki.navit-project.org/index.php/Garmin_maps )
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GPS Support:
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============
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Navit read the current vehicle position :
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- directly from a file
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- from gpsd (local or remote)
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- from udp server (friends tracking) (experimental)
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Routing algorithm
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=================
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NavIt uses a Dijkstra algorithm for routing. The routing starts at the
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destination by assigning a value to each point directly connected to
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destination point. The value represents the estimated time needed to
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pass this distance.
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Now the point with the lowest value is choosen using the Fibonacci
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heap and a value is assigned to connected points whos are
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unevaluated or whos current value ist greater than the new one.
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The search is repeated until the origin is found.
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Once the origin is reached, all that needs to be done is to follow the
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points with the lowest values to the destination.
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