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eclipse
GitHub Repository: eclipse/sumo
 Path: blob/main/tests/complex/traci/vehicle/ssm/runner.py
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#!/usr/bin/env python

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# -*- coding: utf-8 -*-

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# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.dev/sumo

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# Copyright (C) 2008-2025 German Aerospace Center (DLR) and others.

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# This program and the accompanying materials are made available under the

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# terms of the Eclipse Public License 2.0 which is available at

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# https://www.eclipse.org/legal/epl-2.0/

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# This Source Code may also be made available under the following Secondary

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# Licenses when the conditions for such availability set forth in the Eclipse

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# Public License 2.0 are satisfied: GNU General Public License, version 2

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# or later which is available at

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# https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html

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# SPDX-License-Identifier: EPL-2.0 OR GPL-2.0-or-later

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# @file    runner.py

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# @author  Michael Behrisch

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# @author  Jakob Erdmann

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# @author  Daniel Krajzewicz

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# @date    2011-03-04

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from __future__ import print_function

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from __future__ import absolute_import

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import os

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import sys

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if "SUMO_HOME" in os.environ:

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    sys.path.append(os.path.join(os.environ["SUMO_HOME"], "tools"))

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import traci  # noqa

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import sumolib  # noqa

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traci.setLegacyGetLeader(False)

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def checkSSM(vehID):

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    # to find junction leaders we need to look beyond brakeDist

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    leader, dist = traci.vehicle.getLeader(vehID, 200)

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    curTTC = None

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    if leader:

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        dv = traci.vehicle.getSpeed(vehID) - traci.vehicle.getSpeed(leader)

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        curTTC = (dist + traci.vehicle.getMinGap(vehID)) / dv

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    print("  veh=%s minTTC=%s maxDRAC=%s minPET=%s minPPET=%s curTTC=%s" % (

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        vehID,

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        traci.vehicle.getParameter(vehID, "device.ssm.minTTC"),

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        traci.vehicle.getParameter(vehID, "device.ssm.maxDRAC"),

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        traci.vehicle.getParameter(vehID, "device.ssm.minPET"),

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        traci.vehicle.getParameter(vehID, "device.ssm.minPPET"),

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        curTTC))

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repeat = 2 if len(sys.argv) > 1 else 1

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for _ in range(repeat):

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    traci.start([

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        sumolib.checkBinary('sumo'),

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        "-c", "sumo.sumocfg",

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        '--device.ssm.probability', '1',

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    ])

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    for i in range(15):

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        traci.simulationStep()

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        print("step %s" % i)

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        checkSSM("ego")

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        checkSSM("leader")

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    traci.close()

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