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Option A: filter out rat-runs using perimeter roads. #839
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@ -58,7 +58,7 @@ pub fn find_rat_runs(app: &App, neighborhood: &Neighborhood, timer: &mut Timer)
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let mut params = map.routing_params().clone();
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let mut params = map.routing_params().clone();
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modal_filters.update_routing_params(&mut params);
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modal_filters.update_routing_params(&mut params);
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let paths: Vec<Path> = timer
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let mut paths: Vec<Path> = timer
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.parallelize(
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.parallelize(
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"calculate paths between entrances and exits",
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"calculate paths between entrances and exits",
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requests,
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requests,
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@ -68,6 +68,18 @@ pub fn find_rat_runs(app: &App, neighborhood: &Neighborhood, timer: &mut Timer)
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.flatten()
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.flatten()
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.collect();
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.collect();
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// Some paths dip out of the neighborhood. Even though the entrance and exit is in the same
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// cell, the optimal path is to use a boundary road. Filter those out.
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paths.retain(|path| {
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path.get_steps().iter().all(|step| {
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if let PathStep::Lane(l) = step {
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neighborhood.orig_perimeter.interior.contains(&l.road)
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} else {
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true
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}
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})
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});
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// TODO Rank the likeliness of each rat run by
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// TODO Rank the likeliness of each rat run by
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// 1) Calculating a path between similar start/endpoints -- travelling along the perimeter,
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// 1) Calculating a path between similar start/endpoints -- travelling along the perimeter,
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// starting and ending on a specific road that makes sense. (We have to pick the 'direction'
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// starting and ending on a specific road that makes sense. (We have to pick the 'direction'
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