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-NavIT
-=====
-
-Navit is a open source (GPL) car navigation system with routing engine.
-
-It's modular design is capable of using vector maps of various formats
-for routing and rendering of the displayed map. It's even possible to
-use multiple maps at a time.
-
-The GTK+ or SDL user interfaces are designed to work well with touch
-screen displays. Points of Interest of various formats are displayed
-on the map.
-
-The current vehicle position is either read from gpsd or directly from
-NMEA GPS sensors.
-
-The routing engine not only calculates an optimal route to your
-destination, but also generates directions and even speaks to you.
-
-Navit currently speaks over 70 languages!
-
-You can help translating via our web based translation page :
- http://translations.launchpad.net/navit/trunk/+pots/navit
-
-
-For help or more information, please refer to the wiki :
- http://wiki.navit-project.org
-
-If you don't know where to start, we recommend you to read the
-Interactive Help : http://wiki.navit-project.org/index.php/Interactive_help
-
-
-Maps:
-=====
-
-The best navigation system is useless without maps. Those three maps
-are known to work:
-
-- OpenStreetMaps : display, routing, but street name search isn't complete
- (see http://wiki.navit-project.org/index.php/OpenStreetMaps )
-
-- Grosser Reiseplaner and compliant maps : full support
- (see http://wiki.navit-project.org/index.php/European_maps )
-
-- Garmin maps : display, routing, search is being worked on
- (see http://wiki.navit-project.org/index.php/Garmin_maps )
-
-
-GPS Support:
-============
-
-Navit read the current vehicle position :
-- directly from a file
-- from gpsd (local or remote)
-- from udp server (friends tracking) (experimental)
-
-
-Routing algorithm
-=================
-
-NavIt uses a Dijkstra algorithm for routing. The routing starts at the
-destination by assigning a value to each point directly connected to
-destination point. The value represents the estimated time needed to
-pass this distance.
-
-Now the point with the lowest value is choosen using the Fibonacci
-heap and a value is assigned to connected points whos are
-unevaluated or whos current value ist greater than the new one.
-
-The search is repeated until the origin is found.
-
-Once the origin is reached, all that needs to be done is to follow the
-points with the lowest values to the destination.
-