Funcionalitats algorisme PM2.5 i PM10

This commit is contained in:
raulolivar 2025-01-04 02:46:44 +00:00
parent 3f51181e79
commit 8c03e490a0
3 changed files with 514 additions and 983 deletions

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@ -1,48 +1,66 @@
-- Bicycle profile
api_version = 4
-- Foot profile
local http = require("socket.http") -- LuaSocket for HTTP requests
local json = require("cjson")
api_version = 2
Set = require('lib/set')
Sequence = require('lib/sequence')
Handlers = require("lib/way_handlers")
TrafficSignal = require("lib/traffic_signal")
find_access_tag = require("lib/access").find_access_tag
limit = require("lib/maxspeed").limit
Measure = require("lib/measure")
stations_data = nil
function fetch_pollution_data()
local url = "http://128.199.51.173:8000/routes/api/pollution/PM10"
local response, status = http.request(url)
if status == 200 and response then
print("Raw response:", response)
local success, data = pcall(json.decode, response) -- Manejar errores de JSON
if success and data and data.stations then
print("Pollution data fetched successfully.")
print("Number of stations:", #data.stations)
return data
else
print("Failed to decode JSON or missing 'stations' key.")
end
else
print("HTTP request failed. Status:", status)
end
-- Fallback a datos vacíos si hay un error
return { stations = {} }
end
function setup()
local default_speed = 15
local walking_speed = 4
local walking_speed = 5
stations_data = fetch_pollution_data()
-- Check if data was successfully retrieved
if not stations_data or not stations_data.stations then
print("Warning: Pollution data could not be loaded. Defaulting to no pollution.")
stations_data = { stations = {} } -- Fallback to empty station data
else
print("Pollution data loaded successfully.")
end
return {
properties = {
u_turn_penalty = 20,
traffic_light_penalty = 2,
--weight_name = 'cyclability',
weight_name = 'duration',
process_call_tagless_node = false,
max_speed_for_map_matching = 110/3.6, -- kmph -> m/s
use_turn_restrictions = false,
max_speed_for_map_matching = 40/3.6, -- kmph -> m/s
call_tagless_node_function = false,
traffic_light_penalty = 2,
u_turn_penalty = 2,
continue_straight_at_waypoint = false,
mode_change_penalty = 30,
use_turn_restrictions = false,
},
default_mode = mode.cycling,
default_speed = default_speed,
walking_speed = walking_speed,
oneway_handling = true,
turn_penalty = 6,
turn_bias = 1.4,
use_public_transport = true,
-- Exclude narrow ways, in particular to route with cargo bike
width = nil, -- Cargo bike could 0.5 width, in meters
exclude_cargo_bike = false,
allowed_start_modes = Set {
mode.cycling,
mode.pushing_bike
},
default_mode = mode.walking,
default_speed = walking_speed,
oneway_handling = 'specific', -- respect 'oneway:foot' but not 'oneway'
barrier_blacklist = Set {
'yes',
@ -52,120 +70,85 @@ function setup()
access_tag_whitelist = Set {
'yes',
'foot',
'permissive',
'designated'
},
access_tag_blacklist = Set {
'no',
'private',
'agricultural',
'forestry',
'private',
'delivery',
-- When a way is tagged with `use_sidepath` a parallel way suitable for
-- cyclists is mapped and must be used instead (by law). This tag is
-- used on ways that normally may be used by cyclists, but not when
-- a signposted parallel cycleway is available. For purposes of routing
-- cyclists, this value should be treated as 'no access for bicycles'.
'use_sidepath'
},
restricted_access_tag_list = Set { },
restricted_highway_whitelist = Set { },
-- tags disallow access to in combination with highway=service
service_access_tag_blacklist = Set { },
construction_whitelist = Set {
'no',
'widening',
'minor',
},
construction_whitelist = Set {},
access_tags_hierarchy = Sequence {
'bicycle',
'vehicle',
'foot',
'access'
},
restrictions = Set {
'bicycle'
-- tags disallow access to in combination with highway=service
service_access_tag_blacklist = Set { },
restrictions = Sequence {
'foot'
},
cycleway_tags = Set {
'track',
'lane',
'share_busway',
'sharrow',
'shared',
'shared_lane'
-- list of suffixes to suppress in name change instructions
suffix_list = Set {
'N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW', 'North', 'South', 'West', 'East'
},
opposite_cycleway_tags = Set {
'opposite',
'opposite_lane',
'opposite_track',
avoid = Set {
'impassable',
'proposed'
},
-- reduce the driving speed by 30% for unsafe roads
-- only used for cyclability metric
unsafe_highway_list = {
primary = 0.5,
secondary = 0.65,
tertiary = 0.8,
primary_link = 0.5,
secondary_link = 0.65,
tertiary_link = 0.8,
},
speeds = Sequence {
highway = {
primary = walking_speed,
primary_link = walking_speed,
secondary = walking_speed,
secondary_link = walking_speed,
tertiary = walking_speed,
tertiary_link = walking_speed,
unclassified = walking_speed,
residential = walking_speed,
road = walking_speed,
living_street = walking_speed,
service = walking_speed,
track = walking_speed,
path = walking_speed,
steps = walking_speed,
pedestrian = walking_speed,
platform = walking_speed,
footway = walking_speed,
pier = walking_speed,
},
service_penalties = {
alley = 0.5,
},
railway = {
platform = walking_speed
},
bicycle_speeds = {
cycleway = default_speed,
primary = default_speed,
primary_link = default_speed,
secondary = default_speed,
secondary_link = default_speed,
tertiary = default_speed,
tertiary_link = default_speed,
residential = default_speed,
unclassified = default_speed,
living_street = default_speed,
road = default_speed,
service = default_speed,
track = 12,
path = 13
},
amenity = {
parking = walking_speed,
parking_entrance= walking_speed
},
pedestrian_speeds = {
footway = walking_speed,
pedestrian = walking_speed,
steps = 2
},
man_made = {
pier = walking_speed
},
railway_speeds = {
train = 10,
railway = 10,
subway = 10,
light_rail = 10,
monorail = 10,
tram = 10
},
platform_speeds = {
platform = walking_speed
},
amenity_speeds = {
parking = 10,
parking_entrance = 10
},
man_made_speeds = {
pier = walking_speed
leisure = {
track = walking_speed
}
},
route_speeds = {
@ -173,487 +156,119 @@ function setup()
},
bridge_speeds = {
movable = 5
},
surface_speeds = {
asphalt = default_speed,
chipseal = default_speed,
concrete = default_speed,
concrete_lanes = default_speed,
wood = 10,
metal = 10,
["cobblestone:flattened"] = 10,
paving_stones = 10,
compacted = 10,
cobblestone = 7,
unpaved = 6,
fine_gravel = 10,
gravel = 6,
pebblestone = 6,
grass_paver = 6,
ground = 10,
dirt = 8,
earth = 6,
grass = 6,
mud = 3,
sand = 3,
woodchips = 3,
sett = 9
},
classes = Sequence {
'ferry', 'tunnel'
},
-- Which classes should be excludable
-- This increases memory usage so its disabled by default.
excludable = Sequence {
-- Set {'ferry'}
fine_gravel = walking_speed*0.75,
gravel = walking_speed*0.75,
pebblestone = walking_speed*0.75,
mud = walking_speed*0.5,
sand = walking_speed*0.5
},
tracktype_speeds = {
},
smoothness_speeds = {
},
avoid = Set {
'impassable',
'construction',
'proposed'
}
}
end
function process_node(profile, node, result)
-- parse access and barrier tags
local highway = node:get_value_by_key("highway")
local is_crossing = highway and highway == "crossing"
function calculate_pollution(lat, lon)
-- Calcular contaminación
local pollution_value = 0
local total_weight = 0
local weight = 0
local p = 1.8
local max_distance = 3
if stations_data and stations_data.stations then
for _, station in ipairs(stations_data.stations) do
local station_lat = tonumber(station.lat)
local station_lon = tonumber(station.lon)
local latest_reading = tonumber(station.pollution)
if station_lat and station_lon and latest_reading then
-- Fórmula de distancia usando Haversine
local R = 6371 -- Radio de la Tierra en km
local dlat = math.rad(station_lat - lat)
local dlon = math.rad(station_lon - lon)
local a = math.sin(dlat / 2)^2 +
math.cos(math.rad(lat)) * math.cos(math.rad(station_lat)) * math.sin(dlon / 2)^2
local c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
local distance = R * c
-- Ponderación ajustada
weight = 1 / ((distance + 1))
weight = tonumber(string.format("%.6f", weight))
pollution_value = pollution_value + (latest_reading * weight)
--total_weight = total_weight + weight
end
end
--print(pollution_value)
return pollution_value
else
print("No station data available.")
return 0
end
end
function process_node(profile, node, result)
-- Parse access and barrier tags
local access = find_access_tag(node, profile.access_tags_hierarchy)
if access and access ~= "" then
-- access restrictions on crossing nodes are not relevant for
-- the traffic on the road
if profile.access_tag_blacklist[access] and not is_crossing then
if access then
if profile.access_tag_blacklist[access] then
result.barrier = true
end
else
local barrier = node:get_value_by_key("barrier")
if barrier and "" ~= barrier then
if profile.barrier_blacklist[barrier] then
if barrier then
-- Make an exception for rising bollard barriers
local bollard = node:get_value_by_key("bollard")
local rising_bollard = bollard and "rising" == bollard
if profile.barrier_blacklist[barrier] and not rising_bollard then
result.barrier = true
end
end
end
if profile.exclude_cargo_bike then
local cargo_bike = node:get_value_by_key("cargo_bike")
if cargo_bike and cargo_bike == "no" then
result.barrier = true
end
end
-- width
if profile.width then
-- From barrier=cycle_barrier or other barriers
local maxwidth_physical = node:get_value_by_key("maxwidth:physical")
local maxwidth_physical_meter = maxwidth_physical and Measure.parse_value_meters(maxwidth_physical) or 99
local opening = node:get_value_by_key("opening")
local opening_meter = opening and Measure.parse_value_meters(opening) or 99
local width_meter = math.min(maxwidth_physical_meter, opening_meter)
if width_meter and width_meter < profile.width then
result.barrier = true
end
end
-- check if node is a traffic light
result.traffic_lights = TrafficSignal.get_value(node)
end
function handle_bicycle_tags(profile,way,result,data)
-- initial routability check, filters out buildings, boundaries, etc
data.route = way:get_value_by_key("route")
data.man_made = way:get_value_by_key("man_made")
data.railway = way:get_value_by_key("railway")
data.amenity = way:get_value_by_key("amenity")
data.public_transport = way:get_value_by_key("public_transport")
data.bridge = way:get_value_by_key("bridge")
if (not data.highway or data.highway == '') and
(not data.route or data.route == '') and
(not profile.use_public_transport or not data.railway or data.railway=='') and
(not data.amenity or data.amenity=='') and
(not data.man_made or data.man_made=='') and
(not data.public_transport or data.public_transport=='') and
(not data.bridge or data.bridge=='')
then
return false
end
-- access
data.access = find_access_tag(way, profile.access_tags_hierarchy)
if data.access and profile.access_tag_blacklist[data.access] then
return false
end
-- other tags
data.junction = way:get_value_by_key("junction")
data.maxspeed = Measure.get_max_speed(way:get_value_by_key ("maxspeed")) or 0
data.maxspeed_forward = Measure.get_max_speed(way:get_value_by_key("maxspeed:forward")) or 0
data.maxspeed_backward = Measure.get_max_speed(way:get_value_by_key("maxspeed:backward")) or 0
data.barrier = way:get_value_by_key("barrier")
data.oneway = way:get_value_by_key("oneway")
data.oneway_bicycle = way:get_value_by_key("oneway:bicycle")
data.cycleway = way:get_value_by_key("cycleway")
data.cycleway_left = way:get_value_by_key("cycleway:left")
data.cycleway_right = way:get_value_by_key("cycleway:right")
data.duration = way:get_value_by_key("duration")
data.service = way:get_value_by_key("service")
data.foot = way:get_value_by_key("foot")
data.foot_forward = way:get_value_by_key("foot:forward")
data.foot_backward = way:get_value_by_key("foot:backward")
data.bicycle = way:get_value_by_key("bicycle")
speed_handler(profile,way,result,data)
oneway_handler(profile,way,result,data)
cycleway_handler(profile,way,result,data)
bike_push_handler(profile,way,result,data)
-- width should be after bike_push
width_handler(profile,way,result,data)
-- maxspeed
limit( result, data.maxspeed, data.maxspeed_forward, data.maxspeed_backward )
-- not routable if no speed assigned
-- this avoid assertions in debug builds
if result.forward_speed <= 0 and result.duration <= 0 then
result.forward_mode = mode.inaccessible
end
if result.backward_speed <= 0 and result.duration <= 0 then
result.backward_mode = mode.inaccessible
end
safety_handler(profile,way,result,data)
end
function speed_handler(profile,way,result,data)
data.way_type_allows_pushing = false
-- speed
local bridge_speed = profile.bridge_speeds[data.bridge]
if (bridge_speed and bridge_speed > 0) then
data.highway = data.bridge
if data.duration and durationIsValid(data.duration) then
result.duration = math.max( parseDuration(data.duration), 1 )
end
result.forward_speed = bridge_speed
result.backward_speed = bridge_speed
data.way_type_allows_pushing = true
elseif profile.route_speeds[data.route] then
-- ferries (doesn't cover routes tagged using relations)
result.forward_mode = mode.ferry
result.backward_mode = mode.ferry
if data.duration and durationIsValid(data.duration) then
result.duration = math.max( 1, parseDuration(data.duration) )
else
result.forward_speed = profile.route_speeds[data.route]
result.backward_speed = profile.route_speeds[data.route]
end
-- railway platforms (old tagging scheme)
elseif data.railway and profile.platform_speeds[data.railway] then
result.forward_speed = profile.platform_speeds[data.railway]
result.backward_speed = profile.platform_speeds[data.railway]
data.way_type_allows_pushing = true
-- public_transport platforms (new tagging platform)
elseif data.public_transport and profile.platform_speeds[data.public_transport] then
result.forward_speed = profile.platform_speeds[data.public_transport]
result.backward_speed = profile.platform_speeds[data.public_transport]
data.way_type_allows_pushing = true
-- railways
elseif profile.use_public_transport and data.railway and profile.railway_speeds[data.railway] and profile.access_tag_whitelist[data.access] then
result.forward_mode = mode.train
result.backward_mode = mode.train
result.forward_speed = profile.railway_speeds[data.railway]
result.backward_speed = profile.railway_speeds[data.railway]
elseif data.amenity and profile.amenity_speeds[data.amenity] then
-- parking areas
result.forward_speed = profile.amenity_speeds[data.amenity]
result.backward_speed = profile.amenity_speeds[data.amenity]
data.way_type_allows_pushing = true
elseif profile.bicycle_speeds[data.highway] then
-- regular ways
result.forward_speed = profile.bicycle_speeds[data.highway]
result.backward_speed = profile.bicycle_speeds[data.highway]
data.way_type_allows_pushing = true
elseif data.access and profile.access_tag_whitelist[data.access] then
-- unknown way, but valid access tag
result.forward_speed = profile.default_speed
result.backward_speed = profile.default_speed
data.way_type_allows_pushing = true
end
end
function oneway_handler(profile,way,result,data)
-- oneway
data.implied_oneway = data.junction == "roundabout" or data.junction == "circular" or data.highway == "motorway"
data.reverse = false
if data.oneway_bicycle == "yes" or data.oneway_bicycle == "1" or data.oneway_bicycle == "true" then
result.backward_mode = mode.inaccessible
elseif data.oneway_bicycle == "no" or data.oneway_bicycle == "0" or data.oneway_bicycle == "false" then
-- prevent other cases
elseif data.oneway_bicycle == "-1" then
result.forward_mode = mode.inaccessible
data.reverse = true
elseif data.oneway == "yes" or data.oneway == "1" or data.oneway == "true" then
result.backward_mode = mode.inaccessible
elseif data.oneway == "no" or data.oneway == "0" or data.oneway == "false" then
-- prevent other cases
elseif data.oneway == "-1" then
result.forward_mode = mode.inaccessible
data.reverse = true
elseif data.implied_oneway then
result.backward_mode = mode.inaccessible
end
end
function cycleway_handler(profile,way,result,data)
-- cycleway
data.has_cycleway_forward = false
data.has_cycleway_backward = false
data.is_twoway = result.forward_mode ~= mode.inaccessible and result.backward_mode ~= mode.inaccessible and not data.implied_oneway
-- cycleways on normal roads
if data.is_twoway then
if data.cycleway and profile.cycleway_tags[data.cycleway] then
data.has_cycleway_backward = true
data.has_cycleway_forward = true
end
if (data.cycleway_right and profile.cycleway_tags[data.cycleway_right]) or (data.cycleway_left and profile.opposite_cycleway_tags[data.cycleway_left]) then
data.has_cycleway_forward = true
end
if (data.cycleway_left and profile.cycleway_tags[data.cycleway_left]) or (data.cycleway_right and profile.opposite_cycleway_tags[data.cycleway_right]) then
data.has_cycleway_backward = true
end
else
local has_twoway_cycleway = (data.cycleway and profile.opposite_cycleway_tags[data.cycleway]) or (data.cycleway_right and profile.opposite_cycleway_tags[data.cycleway_right]) or (data.cycleway_left and profile.opposite_cycleway_tags[data.cycleway_left])
local has_opposite_cycleway = (data.cycleway_left and profile.opposite_cycleway_tags[data.cycleway_left]) or (data.cycleway_right and profile.opposite_cycleway_tags[data.cycleway_right])
local has_oneway_cycleway = (data.cycleway and profile.cycleway_tags[data.cycleway]) or (data.cycleway_right and profile.cycleway_tags[data.cycleway_right]) or (data.cycleway_left and profile.cycleway_tags[data.cycleway_left])
-- set cycleway even though it is an one-way if opposite is tagged
if has_twoway_cycleway then
data.has_cycleway_backward = true
data.has_cycleway_forward = true
elseif has_opposite_cycleway then
if not data.reverse then
data.has_cycleway_backward = true
else
data.has_cycleway_forward = true
end
elseif has_oneway_cycleway then
if not data.reverse then
data.has_cycleway_forward = true
else
data.has_cycleway_backward = true
end
end
end
if data.has_cycleway_backward then
result.backward_mode = mode.cycling
result.backward_speed = profile.bicycle_speeds["cycleway"]
end
if data.has_cycleway_forward then
result.forward_mode = mode.cycling
result.forward_speed = profile.bicycle_speeds["cycleway"]
end
end
function width_handler(profile,way,result,data)
if profile.exclude_cargo_bike then
local cargo_bike = way:get_value_by_key("cargo_bike")
if cargo_bike and cargo_bike == "no" then
result.forward_mode = mode.inaccessible
result.backward_mode = mode.inaccessible
end
end
if profile.width then
local width = way:get_value_by_key("width")
if width then
local width_meter = Measure.parse_value_meters(width)
if width_meter and width_meter < profile.width then
result.forward_mode = mode.inaccessible
result.backward_mode = mode.inaccessible
end
end
end
end
function bike_push_handler(profile,way,result,data)
-- pushing bikes - if no other mode found
if result.forward_mode == mode.inaccessible or result.backward_mode == mode.inaccessible or
result.forward_speed == -1 or result.backward_speed == -1 then
if data.foot ~= 'no' then
local push_forward_speed = nil
local push_backward_speed = nil
if profile.pedestrian_speeds[data.highway] then
push_forward_speed = profile.pedestrian_speeds[data.highway]
push_backward_speed = profile.pedestrian_speeds[data.highway]
elseif data.man_made and profile.man_made_speeds[data.man_made] then
push_forward_speed = profile.man_made_speeds[data.man_made]
push_backward_speed = profile.man_made_speeds[data.man_made]
else
if data.foot == 'yes' then
push_forward_speed = profile.walking_speed
if not data.implied_oneway then
push_backward_speed = profile.walking_speed
end
elseif data.foot_forward == 'yes' then
push_forward_speed = profile.walking_speed
elseif data.foot_backward == 'yes' then
push_backward_speed = profile.walking_speed
elseif data.way_type_allows_pushing then
push_forward_speed = profile.walking_speed
if not data.implied_oneway then
push_backward_speed = profile.walking_speed
end
end
end
if push_forward_speed and (result.forward_mode == mode.inaccessible or result.forward_speed == -1) then
result.forward_mode = mode.pushing_bike
result.forward_speed = push_forward_speed
end
if push_backward_speed and (result.backward_mode == mode.inaccessible or result.backward_speed == -1)then
result.backward_mode = mode.pushing_bike
result.backward_speed = push_backward_speed
end
end
end
-- dismount
if data.bicycle == "dismount" then
result.forward_mode = mode.pushing_bike
result.backward_mode = mode.pushing_bike
result.forward_speed = profile.walking_speed
result.backward_speed = profile.walking_speed
end
end
function safety_handler(profile,way,result,data)
-- convert duration into cyclability
if profile.properties.weight_name == 'cyclability' then
local safety_penalty = profile.unsafe_highway_list[data.highway] or 1.
local is_unsafe = safety_penalty < 1
-- primaries that are one ways are probably huge primaries where the lanes need to be separated
if is_unsafe and data.highway == 'primary' and not data.is_twoway then
safety_penalty = safety_penalty * 0.5
end
if is_unsafe and data.highway == 'secondary' and not data.is_twoway then
safety_penalty = safety_penalty * 0.6
end
local forward_is_unsafe = is_unsafe and not data.has_cycleway_forward
local backward_is_unsafe = is_unsafe and not data.has_cycleway_backward
local is_undesireable = data.highway == "service" and profile.service_penalties[data.service]
local forward_penalty = 1.
local backward_penalty = 1.
if forward_is_unsafe then
forward_penalty = math.min(forward_penalty, safety_penalty)
end
if backward_is_unsafe then
backward_penalty = math.min(backward_penalty, safety_penalty)
end
if is_undesireable then
forward_penalty = math.min(forward_penalty, profile.service_penalties[data.service])
backward_penalty = math.min(backward_penalty, profile.service_penalties[data.service])
end
if result.forward_speed > 0 then
-- convert from km/h to m/s
result.forward_rate = result.forward_speed / 3.6 * forward_penalty
end
if result.backward_speed > 0 then
-- convert from km/h to m/s
result.backward_rate = result.backward_speed / 3.6 * backward_penalty
end
if result.duration > 0 then
result.weight = result.duration / forward_penalty
end
end
end
-- main entry point for processsing a way
function process_way(profile, way, result)
-- the initial filtering of ways based on presence of tags
-- the intial filtering of ways based on presence of tags
-- affects processing times significantly, because all ways
-- have to be checked.
-- to increase performance, prefetching and initial tag check
-- is done directly instead of via a handler.
-- to increase performance, prefetching and intial tag check
-- is done in directly instead of via a handler.
-- in general we should try to abort as soon as
-- in general we should try to abort as soon as
-- possible if the way is not routable, to avoid doing
-- unnecessary work. this implies we should check things that
-- commonly forbids access early, and handle edge cases later.
-- data table for storing intermediate values during processing
local data = {
-- prefetch tags
highway = way:get_value_by_key('highway'),
route = nil,
man_made = nil,
railway = nil,
amenity = nil,
public_transport = nil,
bridge = nil,
access = nil,
junction = nil,
maxspeed = nil,
maxspeed_forward = nil,
maxspeed_backward = nil,
barrier = nil,
oneway = nil,
oneway_bicycle = nil,
cycleway = nil,
cycleway_left = nil,
cycleway_right = nil,
duration = nil,
service = nil,
foot = nil,
foot_forward = nil,
foot_backward = nil,
bicycle = nil,
way_type_allows_pushing = false,
has_cycleway_forward = false,
has_cycleway_backward = false,
is_twoway = true,
reverse = false,
implied_oneway = false
highway = way:get_value_by_key("highway"),
}
-- Verificar si el objeto `way` está definido
if not way then
print("Error: way is nil.")
return
end
-- perform an quick initial check and abort if the way is
-- obviously not routable. here we require at least one
-- of the prefetched tags to be present, ie. the data table
-- cannot be empty
if next(data) == nil then -- is the data table empty?
return
end
local handlers = Sequence {
-- set the default mode for this profile. if can be changed later
-- in case it turns we're e.g. on a ferry
@ -664,61 +279,82 @@ function process_way(profile, way, result)
-- toll=yes and oneway=reversible
WayHandlers.blocked_ways,
-- our main handler
handle_bicycle_tags,
-- determine access status by checking our hierarchy of
-- access tags, e.g: motorcar, motor_vehicle, vehicle
WayHandlers.access,
-- check whether forward/backward directons are routable
WayHandlers.oneway,
-- check whether forward/backward directons are routable
WayHandlers.destinations,
-- check whether we're using a special transport mode
WayHandlers.ferries,
WayHandlers.movables,
-- compute speed taking into account way type, maxspeed tags, etc.
WayHandlers.speed,
WayHandlers.surface,
-- handle turn lanes and road classification, used for guidance
WayHandlers.classification,
-- handle allowed start/end modes
WayHandlers.startpoint,
-- handle roundabouts
-- handle various other flags
WayHandlers.roundabouts,
WayHandlers.startpoint,
-- set name, ref and pronunciation
WayHandlers.names,
-- set classes
WayHandlers.classes,
-- set weight properties of the way
WayHandlers.weights
WayHandlers.weights,
}
WayHandlers.run(profile, way, result, data, handlers)
end
function process_turn(profile, turn)
-- compute turn penalty as angle^2, with a left/right bias
local normalized_angle = turn.angle / 90.0
if normalized_angle >= 0.0 then
turn.duration = normalized_angle * normalized_angle * profile.turn_penalty / profile.turn_bias
else
turn.duration = normalized_angle * normalized_angle * profile.turn_penalty * profile.turn_bias
end
function process_turn (profile, turn)
turn.duration = 0.
if turn.is_u_turn then
turn.duration = turn.duration + profile.properties.u_turn_penalty
if turn.direction_modifier == direction_modifier.u_turn then
turn.duration = turn.duration + profile.properties.u_turn_penalty
end
if turn.has_traffic_light then
turn.duration = turn.duration + profile.properties.traffic_light_penalty
turn.duration = profile.properties.traffic_light_penalty
end
if profile.properties.weight_name == 'cyclability' then
turn.weight = turn.duration
end
if turn.source_mode == mode.cycling and turn.target_mode ~= mode.cycling then
turn.weight = turn.weight + profile.properties.mode_change_penalty
if profile.properties.weight_name == 'routability' then
-- penalize turns from non-local access only segments onto local access only tags
if not turn.source_restricted and turn.target_restricted then
turn.weight = turn.weight + 3000
end
end
end
function process_segment(profile, segment)
-- Extract coordinates of the start and end points
local source_lat, source_lon = segment.source.lat, segment.source.lon
local target_lat, target_lon = segment.target.lat, segment.target.lon
-- Calculate pollution impact at source and target
local pollution_source = calculate_pollution(source_lat, source_lon)
local pollution_target = calculate_pollution(target_lat, target_lon)
-- Average pollution for the segment
local avg_pollution = (pollution_source + pollution_target) / 2
--print(avg_pollution)
-- Adjust weight and duration based on pollution level
segment.weight = segment.weight + (avg_pollution^1.4)
end
return {
setup = setup,
process_way = process_way,
process_way = process_way,
process_node = process_node,
process_turn = process_turn
process_turn = process_turn,
process_segment = process_segment
}

View File

@ -1,376 +1,242 @@
-- Car profile
api_version = 4
-- Foot profile
local http = require("socket.http") -- LuaSocket for HTTP requests
local json = require("cjson")
api_version = 2
Set = require('lib/set')
Sequence = require('lib/sequence')
Handlers = require("lib/way_handlers")
Relations = require("lib/relations")
TrafficSignal = require("lib/traffic_signal")
find_access_tag = require("lib/access").find_access_tag
limit = require("lib/maxspeed").limit
Utils = require("lib/utils")
Measure = require("lib/measure")
stations_data = nil
function fetch_pollution_data()
local url = "http://128.199.51.173:8000/routes/api/pollution/PM2.5/"
local response, status = http.request(url)
if status == 200 and response then
print("Raw response:", response)
local success, data = pcall(json.decode, response) -- Manejar errores de JSON
if success and data and data.stations then
print("Pollution data fetched successfully.")
print("Number of stations:", #data.stations)
return data
else
print("Failed to decode JSON or missing 'stations' key.")
end
else
print("HTTP request failed. Status:", status)
end
-- Fallback a datos vacíos si hay un error
return { stations = {} }
end
function setup()
local walking_speed = 5
stations_data = fetch_pollution_data()
-- Check if data was successfully retrieved
if not stations_data or not stations_data.stations then
print("Warning: Pollution data could not be loaded. Defaulting to no pollution.")
stations_data = { stations = {} } -- Fallback to empty station data
else
print("Pollution data loaded successfully.")
end
return {
properties = {
max_speed_for_map_matching = 180/3.6, -- 180kmph -> m/s
-- For routing based on duration, but weighted for preferring certain roads
weight_name = 'routability',
-- For shortest duration without penalties for accessibility
-- weight_name = 'duration',
-- For shortest distance without penalties for accessibility
-- weight_name = 'distance',
process_call_tagless_node = false,
u_turn_penalty = 20,
continue_straight_at_waypoint = true,
use_turn_restrictions = true,
left_hand_driving = false,
traffic_light_penalty = 2,
weight_name = 'duration',
max_speed_for_map_matching = 40/3.6, -- kmph -> m/s
call_tagless_node_function = false,
traffic_light_penalty = 2,
u_turn_penalty = 2,
continue_straight_at_waypoint = false,
use_turn_restrictions = false,
},
default_mode = mode.driving,
default_speed = 10,
oneway_handling = true,
side_road_multiplier = 0.8,
turn_penalty = 7.5,
speed_reduction = 0.8,
turn_bias = 1.075,
cardinal_directions = false,
default_mode = mode.walking,
default_speed = walking_speed,
oneway_handling = 'specific', -- respect 'oneway:foot' but not 'oneway'
-- Size of the vehicle, to be limited by physical restriction of the way
vehicle_height = 2.0, -- in meters, 2.0m is the height slightly above biggest SUVs
vehicle_width = 1.9, -- in meters, ways with narrow tag are considered narrower than 2.2m
-- Size of the vehicle, to be limited mostly by legal restriction of the way
vehicle_length = 4.8, -- in meters, 4.8m is the length of large or family car
vehicle_weight = 2000, -- in kilograms
-- a list of suffixes to suppress in name change instructions. The suffixes also include common substrings of each other
suffix_list = {
'N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW', 'North', 'South', 'West', 'East', 'Nor', 'Sou', 'We', 'Ea'
},
barrier_whitelist = Set {
'cattle_grid',
'border_control',
'toll_booth',
'sally_port',
'gate',
'lift_gate',
'no',
'entrance',
'height_restrictor',
'arch'
barrier_blacklist = Set {
'yes',
'wall',
'fence'
},
access_tag_whitelist = Set {
'yes',
'motorcar',
'motor_vehicle',
'vehicle',
'foot',
'permissive',
'designated',
'hov'
'designated'
},
access_tag_blacklist = Set {
'no',
'agricultural',
'forestry',
'emergency',
'psv',
'customers',
'private',
'delivery',
'destination'
},
-- tags disallow access to in combination with highway=service
service_access_tag_blacklist = Set {
'private'
},
restricted_access_tag_list = Set { },
restricted_access_tag_list = Set {
'private',
'delivery',
'destination',
'customers',
},
restricted_highway_whitelist = Set { },
construction_whitelist = Set {},
access_tags_hierarchy = Sequence {
'motorcar',
'motor_vehicle',
'vehicle',
'foot',
'access'
},
service_tag_forbidden = Set {
'emergency_access'
},
-- tags disallow access to in combination with highway=service
service_access_tag_blacklist = Set { },
restrictions = Sequence {
'motorcar',
'motor_vehicle',
'vehicle'
'foot'
},
classes = Sequence {
'toll', 'motorway', 'ferry', 'restricted', 'tunnel'
},
-- classes to support for exclude flags
excludable = Sequence {
Set {'toll'},
Set {'motorway'},
Set {'ferry'}
-- list of suffixes to suppress in name change instructions
suffix_list = Set {
'N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW', 'North', 'South', 'West', 'East'
},
avoid = Set {
'area',
-- 'toll', -- uncomment this to avoid tolls
'reversible',
'impassable',
'hov_lanes',
'steps',
'construction',
'proposed'
},
speeds = Sequence {
highway = {
motorway = 90,
motorway_link = 45,
trunk = 85,
trunk_link = 40,
primary = 65,
primary_link = 30,
secondary = 55,
secondary_link = 25,
tertiary = 40,
tertiary_link = 20,
unclassified = 25,
residential = 25,
living_street = 10,
service = 15
primary = walking_speed,
primary_link = walking_speed,
secondary = walking_speed,
secondary_link = walking_speed,
tertiary = walking_speed,
tertiary_link = walking_speed,
unclassified = walking_speed,
residential = walking_speed,
road = walking_speed,
living_street = walking_speed,
service = walking_speed,
track = walking_speed,
path = walking_speed,
steps = walking_speed,
pedestrian = walking_speed,
platform = walking_speed,
footway = walking_speed,
pier = walking_speed,
},
railway = {
platform = walking_speed
},
amenity = {
parking = walking_speed,
parking_entrance= walking_speed
},
man_made = {
pier = walking_speed
},
leisure = {
track = walking_speed
}
},
service_penalties = {
alley = 0.5,
parking = 0.5,
parking_aisle = 0.5,
driveway = 0.5,
["drive-through"] = 0.5,
["drive-thru"] = 0.5
},
restricted_highway_whitelist = Set {
'motorway',
'motorway_link',
'trunk',
'trunk_link',
'primary',
'primary_link',
'secondary',
'secondary_link',
'tertiary',
'tertiary_link',
'residential',
'living_street',
'unclassified',
'service'
},
construction_whitelist = Set {
'no',
'widening',
'minor',
},
route_speeds = {
ferry = 5,
shuttle_train = 10
ferry = 5
},
bridge_speeds = {
movable = 5
},
-- surface/trackype/smoothness
-- values were estimated from looking at the photos at the relevant wiki pages
-- max speed for surfaces
surface_speeds = {
asphalt = nil, -- nil mean no limit. removing the line has the same effect
concrete = nil,
["concrete:plates"] = nil,
["concrete:lanes"] = nil,
paved = nil,
cement = 80,
compacted = 80,
fine_gravel = 80,
paving_stones = 60,
metal = 60,
bricks = 60,
grass = 40,
wood = 40,
sett = 40,
grass_paver = 40,
gravel = 40,
unpaved = 40,
ground = 40,
dirt = 40,
pebblestone = 40,
tartan = 40,
cobblestone = 30,
clay = 30,
earth = 20,
stone = 20,
rocky = 20,
sand = 20,
mud = 10
fine_gravel = walking_speed*0.75,
gravel = walking_speed*0.75,
pebblestone = walking_speed*0.75,
mud = walking_speed*0.5,
sand = walking_speed*0.5
},
-- max speed for tracktypes
tracktype_speeds = {
grade1 = 60,
grade2 = 40,
grade3 = 30,
grade4 = 25,
grade5 = 20
},
-- max speed for smoothnesses
smoothness_speeds = {
intermediate = 80,
bad = 40,
very_bad = 20,
horrible = 10,
very_horrible = 5,
impassable = 0
},
-- http://wiki.openstreetmap.org/wiki/Speed_limits
maxspeed_table_default = {
urban = 50,
rural = 90,
trunk = 110,
motorway = 130
},
-- List only exceptions
maxspeed_table = {
["at:rural"] = 100,
["at:trunk"] = 100,
["be:motorway"] = 120,
["be-bru:rural"] = 70,
["be-bru:urban"] = 30,
["be-vlg:rural"] = 70,
["bg:motorway"] = 140,
["by:urban"] = 60,
["by:motorway"] = 110,
["ca-on:rural"] = 80,
["ch:rural"] = 80,
["ch:trunk"] = 100,
["ch:motorway"] = 120,
["cz:trunk"] = 0,
["cz:motorway"] = 0,
["de:living_street"] = 7,
["de:rural"] = 100,
["de:motorway"] = 0,
["dk:rural"] = 80,
["es:trunk"] = 90,
["fr:rural"] = 80,
["gb:nsl_single"] = (60*1609)/1000,
["gb:nsl_dual"] = (70*1609)/1000,
["gb:motorway"] = (70*1609)/1000,
["nl:rural"] = 80,
["nl:trunk"] = 100,
['no:rural'] = 80,
['no:motorway'] = 110,
['ph:urban'] = 40,
['ph:rural'] = 80,
['ph:motorway'] = 100,
['pl:rural'] = 100,
['pl:trunk'] = 120,
['pl:motorway'] = 140,
["ro:trunk"] = 100,
["ru:living_street"] = 20,
["ru:urban"] = 60,
["ru:motorway"] = 110,
["uk:nsl_single"] = (60*1609)/1000,
["uk:nsl_dual"] = (70*1609)/1000,
["uk:motorway"] = (70*1609)/1000,
['za:urban'] = 60,
['za:rural'] = 100,
["none"] = 140
},
relation_types = Sequence {
"route"
},
-- classify highway tags when necessary for turn weights
highway_turn_classification = {
},
-- classify access tags when necessary for turn weights
access_turn_classification = {
}
}
end
function process_node(profile, node, result, relations)
-- parse access and barrier tags
function calculate_pollution(lat, lon)
-- Calcular contaminación
local pollution_value = 0
local total_weight = 0
local weight = 0
local p = 1.8
local max_distance = 3
if stations_data and stations_data.stations then
for _, station in ipairs(stations_data.stations) do
local station_lat = tonumber(station.lat)
local station_lon = tonumber(station.lon)
local latest_reading = tonumber(station.pollution)
if station_lat and station_lon and latest_reading then
-- Fórmula de distancia usando Haversine
local R = 6371 -- Radio de la Tierra en km
local dlat = math.rad(station_lat - lat)
local dlon = math.rad(station_lon - lon)
local a = math.sin(dlat / 2)^2 +
math.cos(math.rad(lat)) * math.cos(math.rad(station_lat)) * math.sin(dlon / 2)^2
local c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
local distance = R * c
-- Ponderación ajustada
weight = 1 / ((distance + 1))
weight = tonumber(string.format("%.6f", weight))
pollution_value = pollution_value + (latest_reading * weight)
--total_weight = total_weight + weight
end
end
--print(pollution_value)
return pollution_value
else
print("No station data available.")
return 0
end
end
function process_node(profile, node, result)
-- Parse access and barrier tags
local access = find_access_tag(node, profile.access_tags_hierarchy)
if access then
if profile.access_tag_blacklist[access] and not profile.restricted_access_tag_list[access] then
if profile.access_tag_blacklist[access] then
result.barrier = true
end
else
local barrier = node:get_value_by_key("barrier")
if barrier then
-- check height restriction barriers
local restricted_by_height = false
if barrier == 'height_restrictor' then
local maxheight = Measure.get_max_height(node:get_value_by_key("maxheight"), node)
restricted_by_height = maxheight and maxheight < profile.vehicle_height
end
-- make an exception for rising bollard barriers
-- Make an exception for rising bollard barriers
local bollard = node:get_value_by_key("bollard")
local rising_bollard = bollard and "rising" == bollard
-- make an exception for lowered/flat barrier=kerb
-- and incorrect tagging of highway crossing kerb as highway barrier
local kerb = node:get_value_by_key("kerb")
local highway = node:get_value_by_key("highway")
local flat_kerb = kerb and ("lowered" == kerb or "flush" == kerb)
local highway_crossing_kerb = barrier == "kerb" and highway and highway == "crossing"
if not profile.barrier_whitelist[barrier]
and not rising_bollard
and not flat_kerb
and not highway_crossing_kerb
or restricted_by_height then
if profile.barrier_blacklist[barrier] and not rising_bollard then
result.barrier = true
end
end
end
-- check if node is a traffic light
result.traffic_lights = TrafficSignal.get_value(node)
end
function process_way(profile, way, result, relations)
-- main entry point for processsing a way
function process_way(profile, way, result)
-- the intial filtering of ways based on presence of tags
-- affects processing times significantly, because all ways
-- have to be checked.
@ -385,21 +251,25 @@ function process_way(profile, way, result, relations)
-- data table for storing intermediate values during processing
local data = {
-- prefetch tags
highway = way:get_value_by_key('highway'),
bridge = way:get_value_by_key('bridge'),
route = way:get_value_by_key('route')
highway = way:get_value_by_key("highway"),
}
-- Verificar si el objeto `way` está definido
if not way then
print("Error: way is nil.")
return
end
-- perform an quick initial check and abort if the way is
-- obviously not routable.
-- highway or route tags must be in data table, bridge is optional
if (not data.highway or data.highway == '') and
(not data.route or data.route == '')
then
-- obviously not routable. here we require at least one
-- of the prefetched tags to be present, ie. the data table
-- cannot be empty
if next(data) == nil then -- is the data table empty?
return
end
handlers = Sequence {
local handlers = Sequence {
-- set the default mode for this profile. if can be changed later
-- in case it turns we're e.g. on a ferry
WayHandlers.default_mode,
@ -408,108 +278,83 @@ function process_way(profile, way, result, relations)
-- routable. this includes things like status=impassable,
-- toll=yes and oneway=reversible
WayHandlers.blocked_ways,
WayHandlers.avoid_ways,
WayHandlers.handle_height,
WayHandlers.handle_width,
WayHandlers.handle_length,
WayHandlers.handle_weight,
-- determine access status by checking our hierarchy of
-- access tags, e.g: motorcar, motor_vehicle, vehicle
WayHandlers.access,
-- check whether forward/backward directions are routable
-- check whether forward/backward directons are routable
WayHandlers.oneway,
-- check a road's destination
-- check whether forward/backward directons are routable
WayHandlers.destinations,
-- check whether we're using a special transport mode
WayHandlers.ferries,
WayHandlers.movables,
-- handle service road restrictions
WayHandlers.service,
-- handle hov
WayHandlers.hov,
-- compute speed taking into account way type, maxspeed tags, etc.
WayHandlers.speed,
WayHandlers.maxspeed,
WayHandlers.surface,
WayHandlers.penalties,
-- compute class labels
WayHandlers.classes,
-- handle turn lanes and road classification, used for guidance
WayHandlers.turn_lanes,
WayHandlers.classification,
-- handle various other flags
WayHandlers.roundabouts,
WayHandlers.startpoint,
WayHandlers.driving_side,
-- set name, ref and pronunciation
WayHandlers.names,
-- set weight properties of the way
WayHandlers.weights,
-- set classification of ways relevant for turns
WayHandlers.way_classification_for_turn
}
WayHandlers.run(profile, way, result, data, handlers, relations)
if profile.cardinal_directions then
Relations.process_way_refs(way, relations, result)
end
WayHandlers.run(profile, way, result, data, handlers)
end
function process_turn(profile, turn)
-- Use a sigmoid function to return a penalty that maxes out at turn_penalty
-- over the space of 0-180 degrees. Values here were chosen by fitting
-- the function to some turn penalty samples from real driving.
local turn_penalty = profile.turn_penalty
local turn_bias = turn.is_left_hand_driving and 1. / profile.turn_bias or profile.turn_bias
function process_turn (profile, turn)
turn.duration = 0.
if turn.direction_modifier == direction_modifier.u_turn then
turn.duration = turn.duration + profile.properties.u_turn_penalty
end
if turn.has_traffic_light then
turn.duration = profile.properties.traffic_light_penalty
turn.duration = profile.properties.traffic_light_penalty
end
if turn.number_of_roads > 2 or turn.source_mode ~= turn.target_mode or turn.is_u_turn then
if turn.angle >= 0 then
turn.duration = turn.duration + turn_penalty / (1 + math.exp( -((13 / turn_bias) * turn.angle/180 - 6.5*turn_bias)))
else
turn.duration = turn.duration + turn_penalty / (1 + math.exp( -((13 * turn_bias) * -turn.angle/180 - 6.5/turn_bias)))
end
if turn.is_u_turn then
turn.duration = turn.duration + profile.properties.u_turn_penalty
end
end
-- for distance based routing we don't want to have penalties based on turn angle
if profile.properties.weight_name == 'distance' then
turn.weight = 0
else
turn.weight = turn.duration
end
if profile.properties.weight_name == 'routability' then
-- penalize turns from non-local access only segments onto local access only tags
if not turn.source_restricted and turn.target_restricted then
turn.weight = constants.max_turn_weight
turn.weight = turn.weight + 3000
end
end
end
function process_segment(profile, segment)
-- Extract coordinates of the start and end points
local source_lat, source_lon = segment.source.lat, segment.source.lon
local target_lat, target_lon = segment.target.lat, segment.target.lon
-- Calculate pollution impact at source and target
local pollution_source = calculate_pollution(source_lat, source_lon)
local pollution_target = calculate_pollution(target_lat, target_lon)
-- Average pollution for the segment
local avg_pollution = (pollution_source + pollution_target) / 2
--print(avg_pollution)
-- Adjust weight and duration based on pollution level
segment.weight = segment.weight + (avg_pollution^1.4)
end
return {
setup = setup,
process_way = process_way,
process_way = process_way,
process_node = process_node,
process_turn = process_turn
process_turn = process_turn,
process_segment = process_segment
}

View File

@ -1,3 +1,4 @@
-- Foot profile
local http = require("socket.http") -- LuaSocket for HTTP requests
local json = require("cjson")
@ -8,43 +9,44 @@ Set = require('lib/set')
Sequence = require('lib/sequence')
Handlers = require("lib/way_handlers")
find_access_tag = require("lib/access").find_access_tag
stations_data = nil
function fetch_pollution_data(location)
-- Convert location userdata to a string
local location_str = tostring(location)
-- Check if the location is "(undefined,undefined)"
if location_str == "(undefined,undefined)" then
print("Location is undefined. Skipping pollution data fetch.")
return 0 -- Return 0 for undefined locations
end
-- Extract lat and lon from the location string
local lat, lon = location_str:match("%(([^,]+),([^%)]+)%)")
if lat and lon then
lat = tonumber(lat)
lon = tonumber(lon)
else
print("Invalid location format: " .. location_str)
return 0 -- Return 0 if the format is invalid
end
-- Fetch pollution data
local url = string.format("http://localhost:8008/routes/api/pollution?lat=%f&lon=%f", lat, lon)
function fetch_pollution_data()
local url = "http://128.199.51.173:8000/routes/api/pollution/NO2"
local response, status = http.request(url)
if status == 200 then
local data = json.decode(response)
return data.pollution -- Return the pollution weight from the backend
if status == 200 and response then
print("Raw response:", response)
local success, data = pcall(json.decode, response) -- Manejar errores de JSON
if success and data and data.stations then
print("Pollution data fetched successfully.")
print("Number of stations:", #data.stations)
return data
else
print("Failed to decode JSON or missing 'stations' key.")
end
else
print("Failed to fetch pollution data. HTTP status: " .. tostring(status))
return 0 -- Return 0 if the request fails
print("HTTP request failed. Status:", status)
end
-- Fallback a datos vacíos si hay un error
return { stations = {} }
end
function setup()
local walking_speed = 5
stations_data = fetch_pollution_data()
-- Check if data was successfully retrieved
if not stations_data or not stations_data.stations then
print("Warning: Pollution data could not be loaded. Defaulting to no pollution.")
stations_data = { stations = {} } -- Fallback to empty station data
else
print("Pollution data loaded successfully.")
end
return {
properties = {
weight_name = 'duration',
@ -172,8 +174,47 @@ function setup()
}
end
function calculate_pollution(lat, lon)
-- Calcular contaminación
local pollution_value = 0
local total_weight = 0
local weight = 0
local p = 1.8
local max_distance = 3
if stations_data and stations_data.stations then
for _, station in ipairs(stations_data.stations) do
local station_lat = tonumber(station.lat)
local station_lon = tonumber(station.lon)
local latest_reading = tonumber(station.pollution)
if station_lat and station_lon and latest_reading then
-- Fórmula de distancia usando Haversine
local R = 6371 -- Radio de la Tierra en km
local dlat = math.rad(station_lat - lat)
local dlon = math.rad(station_lon - lon)
local a = math.sin(dlat / 2)^2 +
math.cos(math.rad(lat)) * math.cos(math.rad(station_lat)) * math.sin(dlon / 2)^2
local c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
local distance = R * c
-- Ponderación ajustada
weight = 1 / ((distance + 1))
weight = tonumber(string.format("%.6f", weight))
pollution_value = pollution_value + (latest_reading * weight)
--total_weight = total_weight + weight
end
end
--print(pollution_value)
return pollution_value
else
print("No station data available.")
return 0
end
end
function process_node(profile, node, result)
-- parse access and barrier tags
-- Parse access and barrier tags
local access = find_access_tag(node, profile.access_tags_hierarchy)
if access then
if profile.access_tag_blacklist[access] then
@ -182,7 +223,7 @@ function process_node(profile, node, result)
else
local barrier = node:get_value_by_key("barrier")
if barrier then
-- make an exception for rising bollard barriers
-- Make an exception for rising bollard barriers
local bollard = node:get_value_by_key("bollard")
local rising_bollard = bollard and "rising" == bollard
@ -191,20 +232,9 @@ function process_node(profile, node, result)
end
end
end
local location = node:location()
local pollution = fetch_pollution_data(location)
print(pollution)
--result.weight = result.weight + pollution
-- check if node is a traffic light
local tag = node:get_value_by_key("highway")
if "traffic_signals" == tag then
-- Direction should only apply to vehicles
result.traffic_lights = true
end
end
-- main entry point for processsing a way
function process_way(profile, way, result)
-- the intial filtering of ways based on presence of tags
@ -302,9 +332,29 @@ function process_turn (profile, turn)
end
end
function process_segment(profile, segment)
-- Extract coordinates of the start and end points
local source_lat, source_lon = segment.source.lat, segment.source.lon
local target_lat, target_lon = segment.target.lat, segment.target.lon
-- Calculate pollution impact at source and target
local pollution_source = calculate_pollution(source_lat, source_lon)
local pollution_target = calculate_pollution(target_lat, target_lon)
-- Average pollution for the segment
local avg_pollution = (pollution_source + pollution_target) / 2
--print(avg_pollution)
-- Adjust weight and duration based on pollution level
segment.weight = segment.weight + (avg_pollution^1.4)
end
return {
setup = setup,
process_way = process_way,
process_node = process_node,
process_turn = process_turn
}
process_turn = process_turn,
process_segment = process_segment
}