/usr/share/sumo/tools/pedestrianFlow.py is in sumo-tools 0.32.0+dfsg1-1.
This file is owned by root:root, with mode 0o755.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 | #!/usr/bin/env python
# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2014-2017 German Aerospace Center (DLR) and others.
# This program and the accompanying materials
# are made available under the terms of the Eclipse Public License v2.0
# which accompanies this distribution, and is available at
# http://www.eclipse.org/legal/epl-v20.html
# @file pedestrianFlow.py
# @author Jakob Erdmann
# @date 2014-01-16
# @version $Id$
from __future__ import absolute_import
import os
import sys
import random
from optparse import OptionParser
if 'SUMO_HOME' in os.environ:
tools = os.path.join(os.environ['SUMO_HOME'], 'tools')
sys.path.append(tools)
import sumolib # noqa
from sumolib.miscutils import Colorgen # noqa
else:
sys.exit("please declare environment variable 'SUMO_HOME'")
def get_options():
optParser = OptionParser()
optParser.add_option(
"-w", "--width", type="float", default=0.7, help="pedestrian width, negative numbers denote the center of a uniform distribution [x-0.2, x+0.2]")
optParser.add_option(
"-l", "--length", type="float", default=0.5, help="pedestrian length, negative numbers denote the center of a uniform distribution [x-0.2, x+0.2]")
optParser.add_option(
"-m", "--minGap", type="float", default=0.2, help="pedestrian min gap, negative numbers denote the center of a uniform distribution [x-0.2, x+0.2]")
optParser.add_option(
"-s", "--maxSpeed", type="float", default=1.2, help="pedestrian max speed, negative numbers denote the center of a uniform distribution [x-0.4, x+0.4]")
optParser.add_option(
"-d", "--departPos", type="float", default=0, help="depart position")
optParser.add_option(
"-a", "--arrivalPos", type="float", default=-1, help="arrival position")
optParser.add_option(
"-p", "--prob", type="float", default=0.1, help="depart probability per second")
optParser.add_option("-r", "--route", help="edge list")
optParser.add_option("-c", "--color", help="the color to use or 'random'")
optParser.add_option(
"-b", "--begin", type="int", default=0, help="begin time")
optParser.add_option(
"-e", "--end", type="int", default=600, help="end time")
optParser.add_option("-i", "--index", type="int",
default=0, help="starting index for naming pedestrians")
optParser.add_option(
"-n", "--name", default="p", help="base name for pedestrians")
(options, args) = optParser.parse_args()
options.output = args[0]
return options
def randomOrFixed(value, offset=0.2):
if value >= 0:
return value
return random.uniform(-value - offset, -value + offset)
def write_ped(f, index, options, depart, edges):
if options.color is None:
color = ''
elif options.color == "random":
color = ' color="%s"' % Colorgen(("random", 1, 1))()
else:
color = ' color="%s"' % options.color
f.write(' <vType id="%s%s" vClass="pedestrian" width="%s" length="%s" minGap="%s" maxSpeed="%s" guiShape="pedestrian"%s/>\n' % (
options.name, index,
randomOrFixed(options.width),
randomOrFixed(options.length),
randomOrFixed(options.minGap),
randomOrFixed(options.maxSpeed, 0.4), color))
f.write(' <person id="%s%s" type="%s%s" depart="%s">\n' %
(options.name, index, options.name, index, depart))
f.write(' <walk edges="%s" departPos="%s" arrivalPos="%s"/>\n' %
(edges, options.departPos, options.arrivalPos))
f.write(' </person>\n')
def main():
options = get_options()
with open(options.output, 'w') as f:
sumolib.writeXMLHeader(
f, "$Id$", "routes")
index = options.index
for depart in range(options.begin, options.end):
if random.random() < options.prob:
write_ped(
f, index, options, depart, ' '.join(options.route.split(',')))
index += 1
f.write('</routes>')
if __name__ == "__main__":
main()
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