Can someone suggest a custom model (for hiking) for “least elevation gain”? I’ve been trying approaches along the lines of:
{
"distance_influence": 0,
"priority": [
{
"if": "max_slope >= 20",
"multiply_by": "0.05"
},
{
"else_if": "max_slope >= 10",
"multiply_by": "0.1"
},
{
"else_if": "max_slope >= 5",
"multiply_by": "0.2"
},
{
"else_if": "max_slope >= 1",
"multiply_by": "0.5"
}
]
}
But these tend to create longer routes that actually end up with more gain! I realize that max_slope and average_slope do not fully capture the gain of a segment, but I feel like there is something seriously wrong with my idea as the performance is so poor.
Thanks!
Marcus Needham