Segment distance along path (imported from kml) using mapping toolbox

6 views (last 30 days)
As an example - suppose I import a kml of a highway route and want to generate the lat/longs of where to place the highway marker signs. I need to find the distance traveled along the road at 1 mile incriments. Roads are not straight or polynomial curves so I can not simply interpolate (? I assume). I think the mapping toolbox must have something for this, I just don't know the magic phrase to help find it. Or a similar problem: I'm mapping a trip from NY to FL, assume I can import a KML of the roads, if I need to stop every 150 miles for gas, where am I stopping along that route? How can I solve the displacement along a path that is denoted by a set of lat/longs? It should be simple so I feel I am missing something obvious.

Accepted Answer

Andres
Andres on 27 Sep 2023
Maybe this somewhat naive approach gives you a start once your road coordinate resolution is high enough and you are okay with cartesian coordinates? Sorry I don't know the capabilities of the mapping toolbox.
% signpost distance
signpost_dist = 1;
% generate some road points
resolution = 21;
x1 = linspace(0, pi/2, resolution);
x2 = linspace(pi/2, pi/2, ceil(resolution/2));
x3 = linspace(pi/2, pi, resolution);
y1 = sin(x1);
y2 = linspace(1, 0, ceil(resolution/2));
y3 = cos(x3)/2;
x = [x1, x2, x3];
y = [y1, y2, y3];
% calculate curve length
t = 0:numel(y)-1;
s = cart2alc(x, y, t);
x_signpost = interp1(s, x, signpost_dist:signpost_dist:s(end));
y_signpost = interp1(s, y, signpost_dist:signpost_dist:s(end));
figure
plot(x,y,'.-',DisplayName='road')
hold on
plot(x_signpost, y_signpost, 'rs', DisplayName='signpost')
grid on
axis equal
xlabel('x (mi)')
ylabel('y (mi)')
title([num2str(s(end)) ' mile road'])
function [s,K] = cart2alc(x,y,t)
% CART2ALC cartesian to arc length and curvature coordinates
%
% [s,K] = cart2alc(x,y)
% [s,K] = cart2alc(x,y,t)
%
if nargin < 3
isParametric = false;
else
isParametric = true;
end
if isParametric
dxpdt = gradient(x)./gradient(t);
dypdt = gradient(y)./gradient(t);
d2xpdt2 = gradient(dxpdt)./gradient(t);
d2ypdt2 = gradient(dypdt)./gradient(t);
s = cumtrapz(t,hypot(dxpdt,dypdt));
else
dxpdt = 1;
dypdt = gradient(y)./gradient(x);
d2xpdt2 = 0;
d2ypdt2 = gradient(dypdt)./gradient(x);
s = cumtrapz(x,hypot(dxpdt,dypdt));
end
K = (dxpdt.*d2ypdt2 - dypdt.*d2xpdt2)./hypot(dxpdt,dypdt).^3;
end

More Answers (1)

KSSV
KSSV on 27 Sep 2023

Products


Release

R2023b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!