SUMO - Simulation of Urban MObility
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MSCFModel_PWag2009.cpp
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1 /****************************************************************************/
9 // Scalable model based on Krauß by Peter Wagner
10 /****************************************************************************/
11 // SUMO, Simulation of Urban MObility; see http://sumo.sourceforge.net/
12 // Copyright (C) 2001-2013 DLR (http://www.dlr.de/) and contributors
13 /****************************************************************************/
14 //
15 // This file is part of SUMO.
16 // SUMO is free software: you can redistribute it and/or modify
17 // it under the terms of the GNU General Public License as published by
18 // the Free Software Foundation, either version 3 of the License, or
19 // (at your option) any later version.
20 //
21 /****************************************************************************/
22 
23 
24 // ===========================================================================
25 // included modules
26 // ===========================================================================
27 #ifdef _MSC_VER
28 #include <windows_config.h>
29 #else
30 #include <config.h>
31 #endif
32 
33 #include <microsim/MSVehicle.h>
34 #include <microsim/MSLane.h>
35 #include "MSCFModel_PWag2009.h"
37 
38 
39 // ===========================================================================
40 // method definitions
41 // ===========================================================================
43  SUMOReal dawdle, SUMOReal headwayTime, SUMOReal tauLast, SUMOReal apProb)
44  : MSCFModel(vtype, accel, decel, headwayTime), myDawdle(dawdle),
45  myTauDecel(decel* headwayTime), myDecelDivTau(decel / headwayTime), myTauLastDecel(decel* tauLast),
46  myActionPointProbability(apProb) {
47 }
48 
49 
51 
52 
55  const SUMOReal vNext = MSCFModel::moveHelper(veh, vPos);
57  SUMOReal apref = SPEED2ACCEL(vNext - veh->getSpeed());
58  vars->aOld = apref;
59  return vNext;
60 }
61 
62 // in addition, the parameters myTauLast, probAP, and sigmaAcc are needed; sigmaAcc can use myDawdle
63 // myTauLast might use the current time-step size, but this yields eventually an extreme model, I would be
64 // more careful and set it to something around 0.3 or 0.4, which are among the shortest headways I have
65 // seen so far in data ...
66 
68 MSCFModel_PWag2009::followSpeed(const MSVehicle* const veh, SUMOReal speed, SUMOReal gap, SUMOReal predSpeed, SUMOReal /*predMaxDecel*/) const {
69  if (predSpeed == 0 && gap < 0.01) {
70  return 0;
71  }
72  const SUMOReal vsafe = -myTauLastDecel + sqrt(myTauLastDecel * myTauLastDecel + predSpeed * predSpeed + 2.0 * myDecel * gap);
73  const SUMOReal asafe = SPEED2ACCEL(vsafe - speed);
75  SUMOReal apref = vars->aOld;
76  if (apref <= asafe && RandHelper::rand() <= myActionPointProbability * TS) {
77  apref = myDecelDivTau * (gap + (predSpeed - speed) * myHeadwayTime - speed * myHeadwayTime) / (speed + myTauDecel);
78  apref = MIN2(apref, myAccel);
79  apref = MAX2(apref, -myDecel);
80  apref += myDawdle * RandHelper::rand((SUMOReal) - 1., (SUMOReal)1.);
81  }
82  if (apref > asafe) {
83  apref = asafe;
84  }
85  return MAX2((SUMOReal)0, speed + ACCEL2SPEED(apref));
86 }
87 
88 // uses the safe speed and preferred acceleration with the same NORMAL tau to compute stopSpeed
90 MSCFModel_PWag2009::stopSpeed(const MSVehicle* const veh, SUMOReal gap) const {
91  if (gap < 0.01) {
92  return 0;
93  }
94  const SUMOReal vsafe = -myTauDecel + sqrt(myTauDecel * myTauDecel + 2.0 * myDecel * gap);
95  const SUMOReal speed = veh->getSpeed();
96  const SUMOReal asafe = SPEED2ACCEL(vsafe - speed);
97 // VehicleVariables* vars = (VehicleVariables*)veh->getCarFollowVariables();
98  SUMOReal apref = myDecelDivTau * (gap - 2 * speed * myHeadwayTime) / (speed + myTauDecel);
99  if (apref <= asafe) {
100  apref = MIN2(apref, myAccel);
101  apref = MAX2(apref, -myDecel);
102  } else {
103  apref = asafe;
104  }
105  return MAX2((SUMOReal)0, vsafe + ACCEL2SPEED(apref));
106 }
107 
108 // this method should not do anything, since followSpeed() has taken care of dawdling already...
109 SUMOReal
111  return speed;
112 // return MAX2(SUMOReal(0), speed - ACCEL2SPEED(myDawdle * myAccel * RandHelper::rand()));
113 }
114 
115 // eventually, this method isn't needed anymore
116 //SUMOReal
117 //MSCFModel_PWag2009::_v(const MSVehicle* const veh, SUMOReal speed, SUMOReal gap, SUMOReal predSpeed) const {
118 // if (predSpeed == 0 && gap < 0.01) {
119 // return 0;
120 // }
121 // const SUMOReal vsafe = -myTauLastDecel + sqrt(myTauLastDecel * myTauLastDecel + predSpeed * predSpeed + 2.0 * myDecel * gap);
122 // const SUMOReal asafe = SPEED2ACCEL(vsafe - speed);
123 // VehicleVariables* vars = (VehicleVariables*)veh->getCarFollowVariables();
124 // SUMOReal apref = vars->aOld;
125 // if (apref <= asafe && RandHelper::rand() <= myActionPointProbability * TS) {
126 // apref = myDecelDivTau * (gap + (predSpeed - speed) * myHeadwayTime - speed * myHeadwayTime) / (speed + myTauDecel);
127 // if (apref>myAccel)
128 // apref = myAccel;
129 // if (apref<-myDecel)
130 // apref = -myDecel;
131 // apref += myDawdle * RandHelper::rand((SUMOReal) - 1., (SUMOReal)1.);
132 // }
133 // if (apref > asafe)
134 // apref = asafe;
135 // return MAX2((SUMOReal)0, vsafe+ACCEL2SPEED(apref));
136 //}
137 //
138 
139 MSCFModel*
142 }