From 94b37278406ecfb76cacf818c56e0e78c88c8659 Mon Sep 17 00:00:00 2001 From: Manuel Fuhr Date: Wed, 18 Oct 2023 21:23:59 +0200 Subject: [PATCH] Format pseudo tags docs --- ...onmental_considerations_and_pseudo_tags.md | 98 ++++++++++--------- 1 file changed, 54 insertions(+), 44 deletions(-) diff --git a/docs/developers/environmental_considerations_and_pseudo_tags.md b/docs/developers/environmental_considerations_and_pseudo_tags.md index 84a3344..7d86603 100644 --- a/docs/developers/environmental_considerations_and_pseudo_tags.md +++ b/docs/developers/environmental_considerations_and_pseudo_tags.md @@ -1,87 +1,97 @@ Environmental considerations (penalties for traffic, noise, town, no river, no forest) are possible due to the creation of pseudo tags during processing OSM data by spatial SQL queries in https://github.com/abrensch/brouter/blob/master/misc/scripts/mapcreation/brouter.sql. During this processing, roads are extended by a 32 m buffer creating 64 m wide lines. Then it is calculated what percentage of such line is at a specific distance to a noise source or within a forest, for example. The percentage is converted to a factor and the factor is assigned to a class. Ways that pass through different environments and are represented by a single OSM way can be problematic because the class is always based on the average environment along an entire OSM way. For traffic, calculations are on another level of complexity. ### consider_noise, noise_penalty -For proximity of noisy roads (secondary and higher). The noise factor represents the proportion of a road's buffer area that lies within the 64-meter buffer of noisy roads. This proportion is reduced: + +For proximity of noisy roads (secondary and higher). The noise factor represents the proportion of a road's buffer area that lies within the 64-meter buffer of noisy roads. This proportion is reduced: + - for motorways and trunk roads with max speed < 105 by 1.5 -- for primary roads 2 times -- 3 times if maxspeed is 75 - 105 for primary and secondary -- other secondary roads 5 times +- for primary roads 2 times +- 3 times if maxspeed is 75 - 105 for primary and secondary +- other secondary roads 5 times Noise class is roughly proportional to the noise factor: noise_factor = noise class -- < 0.1 = '1' -- < 0.25 = '2' -- < 0.4 = '3' -- < 0.55 = '4' -- < 0.8 = '5' -- ELSE = '6' -To be classified as noise class 6, a way must be less than 13 m on average from the middle of the carriageway of a motorway with a maximum speed exceeding 105. For a class 5, the distance must be up to 35 meters. (1 - noise factor) * 64 m for a given class determines the distance +- < 0.1 = '1' +- < 0.25 = '2' +- < 0.4 = '3' +- < 0.55 = '4' +- < 0.8 = '5' +- ELSE = '6' + +To be classified as noise class 6, a way must be less than 13 m on average from the middle of the carriageway of a motorway with a maximum speed exceeding 105. For a class 5, the distance must be up to 35 meters. (1 - noise factor) \* 64 m for a given class determines the distance **Max noise class:** -| Max speed | Motorway, trunk |Primary|Secondary | -|--- |:---: |:---: |:---: | -| >105 |6 |4 | 3 | -| 105 |5 |4 |3 | -| 75 |5 |3 |2 | - +| Max speed | Motorway, trunk |Primary|Secondary | +|--- |:---: |:---: |:---: | +| >105 |6 |4 | 3 | +| 105 |5 |4 |3 | +| 75 |5 |3 |2 | ### consider_river, no_river_penalty + OSM data recognized as river: + - waterway: river, canal - natural: water (except wastewater) Waterways have 32 m wide buffers. Water areas have 77 m wide buffers. -river_see = river class -- < 0.17 = '1' -- < 0.35 = '2' -- < 0.57 = '3' -- < 0.80 = '4' -- < 0.95 = '5' -- ELSE = '6' +river_see = river class + +- < 0.17 = '1' +- < 0.35 = '2' +- < 0.57 = '3' +- < 0.80 = '4' +- < 0.95 = '5' +- ELSE = '6' ### consider_forest, no_forest_penalty -OSM data recognized as forest: + +OSM data recognized as forest: + - landuse: forest, allotments, flowerbed, orchard, vineyard, recreation_ground, village_green - leisure: garden, park, nature_reserve - + No forest buffers are used. Imagine you trace the way with a pencil drawing lines 62 meters wide. Then estimated_forest_class=6 corresponds to the case that at least 98% of the line is in the woodland. This number is called a green factor. green_factor = forest class -- < 0.1 = NULL -- < 0.2 = '1' -- < 0.4 = '2' -- < 0.6 = '3' -- < 0.8 = '4' -- < 0.98 = '5' -- ELSE = '6' +- < 0.1 = NULL +- < 0.2 = '1' +- < 0.4 = '2' +- < 0.6 = '3' +- < 0.8 = '4' +- < 0.98 = '5' +- ELSE = '6' +### consider_town, town_penalty -### consider_town, town_penalty Town_class is determined by population data from OSM. Class -- 1 = 50-80 k people + +- 1 = 50-80 k people - 2 = 80-150 k people -- 3 = 150 - 400 k people +- 3 = 150 - 400 k people - 4 = 400 - 1,000 k people - 5 = 1 - 2 million people - 6 = > 2 million people ### consider_traffic, traffic_penalty + (modified copy from the sql file). OSM data used to estimate the traffic: -- population of towns (+ distance from position to the towns) -- size of industrial areas (landuse=industrial) and distance to them. Not considered: solar & wind farms. -- airports international -- motorway and trunk road density - traffic on motorways decreases traffic on primary/secondary/tertiary. Calculated on a grid (100 km^2) -- density of highways (tertiary and higher) calculated on a grid (100 km^2). Traffic decreases when more such roads are available. Exceptions: near junctions between motorways and other roads the traffic increases on these roads. -- mountain-ranges calculated as density of peaks > 400 m traffic is generally on highways in such regions higher as only generated by the local population or industrial areas + +- population of towns (+ distance from position to the towns) +- size of industrial areas (landuse=industrial) and distance to them. Not considered: solar & wind farms. +- airports international +- motorway and trunk road density - traffic on motorways decreases traffic on primary/secondary/tertiary. Calculated on a grid (100 km^2) +- density of highways (tertiary and higher) calculated on a grid (100 km^2). Traffic decreases when more such roads are available. Exceptions: near junctions between motorways and other roads the traffic increases on these roads. +- mountain-ranges calculated as density of peaks > 400 m traffic is generally on highways in such regions higher as only generated by the local population or industrial areas - calculate traffic from the population (for each segment of type primary secondary tertiary) -- SUM of (population of each town < 100 km) / ( town-radius + 2500 + dist(segment-position to the town) ** 2 ) -- town-radius is calculated as sqrt(population) +- SUM of (population of each town < 100 km) / ( town-radius + 2500 + dist(segment-position to the town) \*\* 2 ) +- town-radius is calculated as sqrt(population)