Calculate Accurate Distance Traveled with GPS in Python [closed]

Question

I am trying to update distance traveled between GPS coordinates. My error is that the GPS can move short distances while sitting still. I am currently simply adding the new coordinates to a list every second, calculating the distance between this second and last second, then appending the distances to a new list then add them all together.

The issue is that the small movements in distance keep accumulating. Does anyone know the proper way to do this?

self.breadcrumbs = []

#Calc Linear Distance GPS
while 1:
    report = gpsp.get_current_value() #Retrieves GPS Values
    try:
        self.lat = report.lat
        self.lon = report.lon
        self.latlon = (self.lat, self.lon) #Put lat lon into tuple 
        self.breadcrumbs.append(self.latlon) #Append lat lon to breadcrumb list
        breadcrumb_distances = [] #Holds distances between latlon data points
        for i, b in enumerate(self.breadcrumbs):
            current_location = b
            last_location = self.breadcrumbs[i - 1]
            miles = geodesic(current_location, last_location).miles 
            feet = miles * 5280 #convert to feet
            breadcrumb_distances.append(feet)
        cumulative_distance = round(sum(breadcrumb_distances),2)
        print(cumulative_distance)
    except Exception as e:
        print(e)
    sleep(1)

Answer 1

I would advise that you lookup the use of Kalman filters or similar to handle such, but the maths can be heavy so you have been warned. You may also need a second sensor, an accelerometer, which will give you two measures of velocity tat you can then fuse into a single more accurate measure.