MSCFModel_SmartSK.h

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/****************************************************************************/
// Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.dev/sumo
// Copyright (C) 2012-2024 German Aerospace Center (DLR) and others.
// This program and the accompanying materials are made available under the
// terms of the Eclipse Public License 2.0 which is available at
// https://www.eclipse.org/legal/epl-2.0/
// This Source Code may also be made available under the following Secondary
// Licenses when the conditions for such availability set forth in the Eclipse
// Public License 2.0 are satisfied: GNU General Public License, version 2
// or later which is available at
// https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
// SPDX-License-Identifier: EPL-2.0 OR GPL-2.0-or-later
/****************************************************************************/
// A smarter SK
/****************************************************************************/
#pragma once
#include <config.h>
 
#include "MSCFModel.h"
#include <utils/xml/SUMOXMLDefinitions.h>
 
 
// ===========================================================================
// class definitions
// ===========================================================================
class MSCFModel_SmartSK : public MSCFModel {
public:
    MSCFModel_SmartSK(const MSVehicleType* vtype);
 
 
    ~MSCFModel_SmartSK();
 
 
 
    double finalizeSpeed(MSVehicle* const veh, double vPos) const;
 
 
    virtual double followSpeed(const MSVehicle* const veh, double speed, double gap2pred,
                               double predSpeed, double predMaxDecel, const MSVehicle* const pred = 0, const CalcReason usage = CalcReason::CURRENT) const;
 
 
    virtual double stopSpeed(const MSVehicle* const veh, const double speed, double gap2pred, double decel, const CalcReason usage = CalcReason::CURRENT) const;
 
 
    virtual int getModelID() const {
        return SUMO_TAG_CF_SMART_SK;
    }
 
 
    double getImperfection() const {
        return myDawdle;
    }
 
 
 
 
    void setMaxDecel(double decel) {
        myDecel = decel;
        myTauDecel = myDecel * myHeadwayTime;
    }
 
 
    void setImperfection(double imperfection) {
        myDawdle = imperfection;
    }
 
 
    void setHeadwayTime(double headwayTime) {
        myHeadwayTime = headwayTime;
        myTauDecel = myDecel * headwayTime;
    }
 
    double patchSpeedBeforeLC(const MSVehicle* veh, double vMin, double vMax) const;
 
    virtual MSCFModel* duplicate(const MSVehicleType* vtype) const;
 
private:
    virtual double _vsafe(const MSVehicle* const veh, double gap, double predSpeed) const;
 
 
    virtual double dawdle(double speed, SumoRNG* rng) const;
 
    virtual void updateMyHeadway(const MSVehicle* const veh) const {
        // this is the point were the preferred headway changes slowly:
        SSKVehicleVariables* vars = (SSKVehicleVariables*)veh->getCarFollowVariables();
        double tTau = vars->myHeadway;
        tTau = tTau + (myHeadwayTime - tTau) * myTmp2 + myTmp3 * tTau * RandHelper::rand(double(-1.0), double(1.0), veh->getRNG());
        if (tTau < TS) { // this ensures the SK safety condition
            tTau = TS;
        }
        vars->myHeadway = tTau;
    }
 
    virtual MSCFModel::VehicleVariables* createVehicleVariables() const {
        SSKVehicleVariables* ret = new SSKVehicleVariables();
        ret->gOld = 0.0;
        ret->myHeadway = myHeadwayTime;
        return ret;
    }
 
#include <map>
 
private:
    class SSKVehicleVariables : public MSCFModel::VehicleVariables {
    public:
        double gOld, myHeadway;
        std::map<int, double> ggOld;
    };
 
protected:
    double myDawdle;
 
    double myTauDecel;
 
    double myTmp1, myTmp2, myTmp3, myTmp4, myTmp5;
 
    double myS2Sspeed, maxDeltaGap;
 
};