netspeed {vein}

Calculate speeds of traffic network

Description

netspeed Creates a dataframe of speeds for different hours and each link based on morning rush traffic data

Usage

netspeed(
  q = 1,
  ps,
  ffs,
  cap,
  lkm,
  alpha = 0.15,
  beta = 4,
  net,
  scheme = FALSE,
  dist = "km"
)

Arguments

q

Data-frame of traffic flow to each hour (veh/h)

ps

Peak speed (km/h)

ffs

Free flow speed (km/h)

cap

Capacity of link (veh/h)

lkm

Distance of link (km)

alpha

Parameter of BPR curves

beta

Parameter of BPR curves

net

SpatialLinesDataFrame or Spatial Feature of "LINESTRING"

scheme

Logical to create a Speed data-frame with 24 hours and a default profile. It needs ffs and ps:

dist

String indicating the units of the resulting distance in speed. Default is units from peak speed 'ps'

00:00-06:00	ffs
06:00-07:00	average between ffs and ps
07:00-10:00	ps
10:00-17:00	average between ffs and ps
17:00-20:00	ps
20:00-22:00	average between ffs and ps
22:00-00:00	ffs

Value

dataframe speeds with units or sf.

Examples

{
data(net)
data(pc_profile)
pc_week <- temp_fact(net$ldv+net$hdv, pc_profile)
df <- netspeed(pc_week, net$ps, net$ffs, net$capacity, net$lkm, alpha = 1)
class(df)
plot(df) #plot of the average speed at each hour, +- sd
# net$ps <- units::set_units(net$ps, "miles/h")
# net$ffs <- units::set_units(net$ffs, "miles/h")
# df <- netspeed(pc_week, net$ps, net$ffs, net$capacity, net$lkm, alpha = 1)
# class(df)
# plot(df) #plot of the average speed at each hour, +- sd
# df <- netspeed(ps = net$ps, ffs = net$ffs, scheme = TRUE)
# class(df)
# plot(df) #plot of the average speed at each hour, +- sd
# dfsf <- netspeed(ps = net$ps, ffs = net$ffs, scheme = TRUE, net = net)
# class(dfsf)
# head(dfsf)
# plot(dfsf, pal = cptcity::lucky(colorRampPalette = TRUE, rev = TRUE),
# key.pos = 1, max.plot = 9)
}