Question

I have a GPX file with a GPS track. Now I want to calculate the distance I covered with this track.

What's the best way to calculate this?

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Solution

The traditional way of calculating the distance between two points (each pair of waypoints in your GPX file) is with the Haversine formula.

I have a SQL Server function that implements the algorithm. This should be easy to translate into other languages:

create function dbo.udf_Haversine(@lat1 float, @long1 float, 
                   @lat2 float, @long2 float) returns float begin
    declare @dlon float, @dlat float, @rlat1 float, 
                 @rlat2 float, @rlong1 float, @rlong2 float, 
                 @a float, @c float, @R float, @d float, @DtoR float

    select @DtoR = 0.017453293
    select @R = 3959      -- Earth radius

    select 
        @rlat1 = @lat1 * @DtoR,
        @rlong1 = @long1 * @DtoR,
        @rlat2 = @lat2 * @DtoR,
        @rlong2 = @long2 * @DtoR

    select 
        @dlon = @rlong1 - @rlong2,
        @dlat = @rlat1 - @rlat2

    select @a = power(sin(@dlat/2), 2) + cos(@rlat1) * 
                     cos(@rlat2) * power(sin(@dlon/2), 2)
    select @c = 2 * atn2(sqrt(@a), sqrt(1-@a))
    select @d = @R * @c

    return @d 
end

This returns the distance in Miles. For kilometers, replace the earth radius with it's km equivalent.

Here is a more in-depth explanation.

Edit: This function is fast enough and accurate enough for doing radius searches with a ZIP code database. It has been doing a great job on this site for years (but it no longer does, as the link is broken now).

OTHER TIPS

Mike Gavaghan has an algorithm for distance calculations on his site. There is a C# and also a JAVA version of the code.

Delphi implementation of the Vincenty formulae can be found here.

Here's a Scala implementation.

3958.761 is the mean radius of the Earth in miles. To get a result in km (or some other unit) just alter this number.

// The Haversine formula
def haversineDistance(pointA: (Double, Double), pointB: (Double, Double)): Double = {
  val deltaLat = math.toRadians(pointB._1 - pointA._1)
  val deltaLong = math.toRadians(pointB._2 - pointA._2)
  val a = math.pow(math.sin(deltaLat / 2), 2) + math.cos(math.toRadians(pointA._1)) * math.cos(math.toRadians(pointB._1)) * math.pow(math.sin(deltaLong / 2), 2)
  val greatCircleDistance = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
  3958.761 * greatCircleDistance
}

// A sequence of gpx trackpoint lat,long pairs parsed from the track GPX data
val trkpts: Seq[(Double, Double)] = {
  val x = scala.xml.XML.loadString(track)
  (x \\ "trkpt").map(trkpt => ((trkpt \ "@lat").text.toDouble, (trkpt \ "@lon").text.toDouble))
}

// Distance of track in miles using Haversine formula
val trackDistance: Double = {
  trkpts match {
    case head :: tail => tail.foldLeft(head, 0.0)((accum, elem) => (elem, accum._2 + haversineDistance(accum._1, elem)))._2
    case Nil => 0.0
  }
}

This question is rather old, but I would like to add a python option for completeness. GeoPy has both great-circle distance and Vincenty distance.

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