Toledo.java
package org.opentrafficsim.road.gtu.lane.tactical.toledo;
import java.io.Serializable;
import java.util.Iterator;
import java.util.Random;
import org.djunits.unit.AccelerationUnit;
import org.djunits.unit.LengthUnit;
import org.djunits.unit.LinearDensityUnit;
import org.djunits.value.vdouble.scalar.Acceleration;
import org.djunits.value.vdouble.scalar.Length;
import org.djunits.value.vdouble.scalar.LinearDensity;
import org.djunits.value.vdouble.scalar.Speed;
import org.djunits.value.vdouble.scalar.Time;
import org.opentrafficsim.base.parameters.ParameterException;
import org.opentrafficsim.base.parameters.ParameterTypeLength;
import org.opentrafficsim.base.parameters.ParameterTypes;
import org.opentrafficsim.base.parameters.Parameters;
import org.opentrafficsim.core.geometry.OTSGeometryException;
import org.opentrafficsim.core.gtu.GTUException;
import org.opentrafficsim.core.gtu.plan.operational.OperationalPlan;
import org.opentrafficsim.core.gtu.plan.operational.OperationalPlanException;
import org.opentrafficsim.core.network.LateralDirectionality;
import org.opentrafficsim.core.network.NetworkException;
import org.opentrafficsim.road.gtu.lane.LaneBasedGTU;
import org.opentrafficsim.road.gtu.lane.perception.CategoricalLanePerception;
import org.opentrafficsim.road.gtu.lane.perception.InfrastructureLaneChangeInfo;
import org.opentrafficsim.road.gtu.lane.perception.LanePerception;
import org.opentrafficsim.road.gtu.lane.perception.PerceptionCollectable;
import org.opentrafficsim.road.gtu.lane.perception.RelativeLane;
import org.opentrafficsim.road.gtu.lane.perception.categories.DirectNeighborsPerception;
import org.opentrafficsim.road.gtu.lane.perception.categories.HeadwayGtuType;
import org.opentrafficsim.road.gtu.lane.perception.categories.NeighborsPerception;
import org.opentrafficsim.road.gtu.lane.perception.headway.HeadwayGTU;
import org.opentrafficsim.road.gtu.lane.plan.operational.LaneChange;
import org.opentrafficsim.road.gtu.lane.plan.operational.LaneOperationalPlanBuilder;
import org.opentrafficsim.road.gtu.lane.tactical.AbstractLaneBasedTacticalPlanner;
import org.opentrafficsim.road.gtu.lane.tactical.following.CarFollowingModel;
import org.opentrafficsim.road.network.speed.SpeedLimitInfo;
import org.opentrafficsim.road.network.speed.SpeedLimitProspect;
import nl.tudelft.simulation.language.d3.DirectedPoint;
/**
* Implementation of the model of Toledo (2003).<br>
* <br>
* Tomer Toledo (2003) "Integrated Driving Behavior Modeling", Massachusetts Institute of Technology.
* <p>
* Copyright (c) 2013-2018 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved. <br>
* BSD-style license. See <a href="http://opentrafficsim.org/docs/current/license.html">OpenTrafficSim License</a>.
* <p>
* @version $Revision$, $LastChangedDate$, by $Author$, initial version Jun 21, 2016 <br>
* @author <a href="http://www.tbm.tudelft.nl/averbraeck">Alexander Verbraeck</a>
* @author <a href="http://www.tudelft.nl/pknoppers">Peter Knoppers</a>
* @author <a href="http://www.transport.citg.tudelft.nl">Wouter Schakel</a>
*/
public class Toledo extends AbstractLaneBasedTacticalPlanner
{
/** */
private static final long serialVersionUID = 20160711L;
/** Look ahead parameter type. */
protected static final ParameterTypeLength LOOKAHEAD = ParameterTypes.LOOKAHEAD;
/** Defines light vs heavy vehicles. */
static final Length MAX_LIGHT_VEHICLE_LENGTH = new Length(9.14, LengthUnit.METER);
/** Distance defining tail gating. */
static final Length TAILGATE_LENGTH = new Length(10, LengthUnit.METER);
/** Density for tail gating (Level Of Service (LOS) A, B or C). */
static final LinearDensity LOS_DENSITY = new LinearDensity(16, LinearDensityUnit.PER_KILOMETER);
/** Random number generator. */
public static final Random RANDOM = new Random();
/** Lane change status. */
private final LaneChange laneChange = new LaneChange();
/**
* Constructor.
* @param carFollowingModel Car-following model.
* @param gtu GTU
*/
public Toledo(final CarFollowingModel carFollowingModel, final LaneBasedGTU gtu)
{
super(carFollowingModel, gtu, new CategoricalLanePerception(gtu));
getPerception().addPerceptionCategory(new ToledoPerception(getPerception()));
getPerception().addPerceptionCategory(new DirectNeighborsPerception(getPerception(), HeadwayGtuType.WRAP));
}
/** {@inheritDoc} */
@Override
public final OperationalPlan generateOperationalPlan(final Time startTime, final DirectedPoint locationAtStartTime)
throws OperationalPlanException, GTUException, NetworkException, ParameterException
{
// obtain objects to get info
LanePerception perception = getPerception();
perception.perceive();
SpeedLimitProspect slp =
perception.getPerceptionCategory(ToledoPerception.class).getSpeedLimitProspect(RelativeLane.CURRENT);
SpeedLimitInfo sli = slp.getSpeedLimitInfo(Length.ZERO);
Parameters params = getGtu().getParameters();
Acceleration acceleration = null;
// if (this.laneChangeDirectionality == null)
LateralDirectionality initiatedLaneChange;
NeighborsPerception neighbors = perception.getPerceptionCategory(NeighborsPerception.class);
if (!this.laneChange.isChangingLane())
{
// not changing lane
// 3rd layer of model: Target gap model
// TODO vehicle not ahead and not backwards but completely adjacent
GapInfo gapFwdL = getGapInfo(params, perception, Gap.FORWARD, RelativeLane.LEFT);
GapInfo gapAdjL = getGapInfo(params, perception, Gap.ADJACENT, RelativeLane.LEFT);
GapInfo gapBckL = getGapInfo(params, perception, Gap.BACKWARD, RelativeLane.LEFT);
GapInfo gapFwdR = getGapInfo(params, perception, Gap.FORWARD, RelativeLane.RIGHT);
GapInfo gapAdjR = getGapInfo(params, perception, Gap.ADJACENT, RelativeLane.RIGHT);
GapInfo gapBckR = getGapInfo(params, perception, Gap.BACKWARD, RelativeLane.RIGHT);
double emuTgL =
Math.log(Math.exp(gapFwdL.getUtility()) + Math.exp(gapAdjL.getUtility()) + Math.exp(gapBckL.getUtility()));
double emuTgR =
Math.log(Math.exp(gapFwdR.getUtility()) + Math.exp(gapAdjR.getUtility()) + Math.exp(gapBckR.getUtility()));
// 2nd layer of model: Gap-acceptance model
// gap acceptance random terms (variable over time, equal for left and right)
double eLead = RANDOM.nextGaussian() * Math.pow(params.getParameter(ToledoLaneChangeParameters.SIGMA_LEAD), 2);
double eLag = RANDOM.nextGaussian() * Math.pow(params.getParameter(ToledoLaneChangeParameters.SIGMA_LAG), 2);
GapAcceptanceInfo gapAcceptL =
getGapAcceptanceInfo(getGtu(), params, perception, emuTgL, eLead, eLag, RelativeLane.LEFT);
GapAcceptanceInfo gapAcceptR =
getGapAcceptanceInfo(getGtu(), params, perception, emuTgR, eLead, eLag, RelativeLane.RIGHT);
// 1st layer of model: Target lane model
double vL = laneUtility(getGtu(), params, perception, gapAcceptL.getEmu(), sli, RelativeLane.LEFT);
double vC = laneUtility(getGtu(), params, perception, 0, sli, RelativeLane.CURRENT);
double vR = laneUtility(getGtu(), params, perception, gapAcceptR.getEmu(), sli, RelativeLane.RIGHT);
// change lane?
if (vL > vR && vL > vC && gapAcceptL.isAcceptable())
{
initiatedLaneChange = LateralDirectionality.LEFT;
}
else if (vR > vL && vR > vC && gapAcceptR.isAcceptable())
{
initiatedLaneChange = LateralDirectionality.RIGHT;
}
else
{
initiatedLaneChange = LateralDirectionality.NONE;
}
// accelerate for gap selection
if (initiatedLaneChange.isNone())
{
if ((vC > vR && vC > vL)
|| (!neighbors.getLeaders(RelativeLane.CURRENT).isEmpty() && neighbors.getLeaders(RelativeLane.CURRENT)
.first().getDistance().lt(getCarFollowingModel().desiredHeadway(params, getGtu().getSpeed()))))
{
acceleration = getCarFollowingModel().followingAcceleration(params, getGtu().getSpeed(), sli,
neighbors.getLeaders(RelativeLane.CURRENT));
}
else
{
GapInfo gapAdj;
GapInfo gapFwd;
GapInfo gapBck;
if (vL > vR && vL > vC)
{
gapAdj = gapAdjL;
gapFwd = gapFwdL;
gapBck = gapBckL;
}
else
{
gapAdj = gapAdjR;
gapFwd = gapFwdR;
gapBck = gapBckR;
}
if (gapAdj.getUtility() > gapFwd.getUtility() && gapAdj.getUtility() > gapBck.getUtility())
{
// adjacent gap selected
double eadj = Toledo.RANDOM.nextGaussian() * params.getParameter(ToledoLaneChangeParameters.SIGMA_ADJ)
* params.getParameter(ToledoLaneChangeParameters.SIGMA_ADJ);
acceleration =
new Acceleration(
params.getParameter(ToledoLaneChangeParameters.C_ADJ_ACC)
* (params.getParameter(ToledoLaneChangeParameters.BETA_DP)
* gapAdj.getLength().si - gapAdj.getDistance().si)
+ eadj,
AccelerationUnit.SI);
}
else if (gapFwd.getUtility() > gapAdj.getUtility() && gapFwd.getUtility() > gapBck.getUtility())
{
// forward gap selected
Length desiredPosition = new Length(
gapFwd.getDistance().si
+ params.getParameter(ToledoLaneChangeParameters.BETA_DP) * gapFwd.getLength().si,
LengthUnit.SI);
double deltaV = gapFwd.getSpeed().si > getGtu().getSpeed().si
? params.getParameter(ToledoLaneChangeParameters.LAMBDA_FWD_POS)
* (gapFwd.getSpeed().si - getGtu().getSpeed().si)
: params.getParameter(ToledoLaneChangeParameters.LAMBDA_FWD_NEG)
* (getGtu().getSpeed().si - gapFwd.getSpeed().si);
double efwd = Toledo.RANDOM.nextGaussian() * params.getParameter(ToledoLaneChangeParameters.SIGMA_FWD)
* params.getParameter(ToledoLaneChangeParameters.SIGMA_FWD);
acceleration = new Acceleration(params.getParameter(ToledoLaneChangeParameters.C_FWD_ACC)
* Math.pow(desiredPosition.si, params.getParameter(ToledoLaneChangeParameters.BETA_FWD))
* Math.exp(deltaV) + efwd, AccelerationUnit.SI);
}
else
{
// backward gap selected
Length desiredPosition = new Length(
gapBck.getDistance().si
+ (1 - params.getParameter(ToledoLaneChangeParameters.BETA_DP)) * gapBck.getLength().si,
LengthUnit.SI);
double deltaV = gapBck.getSpeed().si > getGtu().getSpeed().si
? params.getParameter(ToledoLaneChangeParameters.LAMBDA_BCK_POS)
* (gapBck.getSpeed().si - getGtu().getSpeed().si)
: params.getParameter(ToledoLaneChangeParameters.LAMBDA_BCK_NEG)
* (getGtu().getSpeed().si - gapBck.getSpeed().si);
double ebck = Toledo.RANDOM.nextGaussian() * params.getParameter(ToledoLaneChangeParameters.SIGMA_BCK)
* params.getParameter(ToledoLaneChangeParameters.SIGMA_BCK);
acceleration = new Acceleration(params.getParameter(ToledoLaneChangeParameters.C_BCK_ACC)
* Math.pow(desiredPosition.si, params.getParameter(ToledoLaneChangeParameters.BETA_BCK))
* Math.exp(deltaV) + ebck, AccelerationUnit.SI);
}
}
}
}
else
{
initiatedLaneChange = LateralDirectionality.NONE;
}
if (initiatedLaneChange.isLeft())
{
// changing left
getCarFollowingModel().followingAcceleration(params, getGtu().getSpeed(), sli,
neighbors.getLeaders(RelativeLane.LEFT));
}
else if (initiatedLaneChange.isRight())
{
// changing right
getCarFollowingModel().followingAcceleration(params, getGtu().getSpeed(), sli,
neighbors.getLeaders(RelativeLane.RIGHT));
}
if (acceleration == null)
{
throw new Error("Acceleration from toledo model is null.");
}
// operational plan
if (initiatedLaneChange.isNone())
{
try
{
return LaneOperationalPlanBuilder.buildAccelerationPlan(getGtu(), startTime, getGtu().getSpeed(), acceleration,
params.getParameter(ToledoLaneChangeParameters.DT));
}
catch (OTSGeometryException exception)
{
throw new OperationalPlanException(exception);
}
}
try
{
OperationalPlan plan = LaneOperationalPlanBuilder.buildAccelerationLaneChangePlan(getGtu(), initiatedLaneChange,
getGtu().getLocation(), startTime, getGtu().getSpeed(), acceleration,
params.getParameter(ToledoLaneChangeParameters.DT), this.laneChange);
return plan;
}
catch (OTSGeometryException exception)
{
throw new OperationalPlanException(exception);
}
}
/**
* Returns info regarding a gap.
* @param params parameters
* @param perception perception
* @param gap gap
* @param lane lane
* @return utility of gap
* @throws ParameterException if parameter is not given
* @throws OperationalPlanException perception exception
*/
private GapInfo getGapInfo(final Parameters params, final LanePerception perception, final Gap gap, final RelativeLane lane)
throws ParameterException, OperationalPlanException
{
// capture no leaders/follower cases for forward and backward gaps
NeighborsPerception neighbors = perception.getPerceptionCategory(NeighborsPerception.class);
if (gap.equals(Gap.FORWARD) && (neighbors.getLeaders(lane) == null || neighbors.getLeaders(lane).isEmpty()))
{
// no leaders
return new GapInfo(Double.NEGATIVE_INFINITY, null, null, null);
}
if (gap.equals(Gap.BACKWARD) && (neighbors.getFollowers(lane) == null || neighbors.getFollowers(lane).isEmpty()))
{
// no followers
return new GapInfo(Double.NEGATIVE_INFINITY, null, null, null);
}
double constant; // utility function: constant
double alpha; // utility function: alpha parameter
Length distanceToGap; // utility function: distance to gap
int deltaFrontVehicle; // utility function: dummy whether the gap is limited by vehicle in front
Length putativeLength; // acceleration model: gap length, not affected by vehicle in front
Length putativeDistance; // acceleration model: distance to gap, different from 'distanceToGap' in utility function
Speed putativeSpeed; // acceleration model: speed of putative follower or leader
Length leaderDist; // leader of (effective) gap
Speed leaderSpeed;
Length followerDist; // follower of (effective) gap
Speed followerSpeed;
if (gap.equals(Gap.FORWARD))
{
constant = params.getParameter(ToledoLaneChangeParameters.C_FWD_TG);
alpha = 0;
PerceptionCollectable<HeadwayGTU, LaneBasedGTU> itAble = neighbors.getLeaders(lane);
HeadwayGTU second = null;
if (!itAble.isEmpty())
{
Iterator<HeadwayGTU> it = itAble.iterator();
it.next();
second = it.next();
}
if (second != null)
{
// two leaders
Iterator<HeadwayGTU> it = neighbors.getLeaders(lane).iterator();
it.next();
HeadwayGTU leader = it.next();
leaderDist = leader.getDistance();
leaderSpeed = leader.getSpeed();
putativeLength = leaderDist.minus(neighbors.getLeaders(lane).first().getDistance())
.minus(neighbors.getLeaders(lane).first().getLength());
}
else
{
// TODO infinite -> some limited space, speed also
// one leader
leaderDist = Length.POSITIVE_INFINITY;
leaderSpeed = Speed.POSITIVE_INFINITY;
putativeLength = leaderDist;
}
// distance to nose, so add length
followerDist =
neighbors.getLeaders(lane).first().getDistance().plus(neighbors.getLeaders(lane).first().getLength());
followerSpeed = neighbors.getLeaders(lane).first().getSpeed();
distanceToGap = followerDist; // same as distance to nose of first leader
putativeDistance = distanceToGap;
putativeSpeed = followerSpeed;
}
else if (gap.equals(Gap.ADJACENT))
{
constant = 0;
alpha = params.getParameter(ToledoLaneChangeParameters.ALPHA_ADJ);
distanceToGap = Length.ZERO;
if (neighbors.getLeaders(lane) != null && !neighbors.getLeaders(lane).isEmpty())
{
leaderDist = neighbors.getLeaders(lane).first().getDistance();
leaderSpeed = neighbors.getLeaders(lane).first().getSpeed();
}
else
{
leaderDist = Length.POS_MAXVALUE;
leaderSpeed = Speed.POS_MAXVALUE;
}
if (neighbors.getFollowers(lane) != null && !neighbors.getFollowers(lane).isEmpty())
{
// plus own vehicle length for distance from nose of own vehicle (and then whole negative)
followerDist = neighbors.getFollowers(lane).first().getDistance().plus(getGtu().getLength());
followerSpeed = neighbors.getFollowers(lane).first().getSpeed();
putativeDistance = followerDist;
}
else
{
followerDist = Length.NEG_MAXVALUE;
followerSpeed = Speed.NEG_MAXVALUE;
putativeDistance = Length.POS_MAXVALUE;
}
putativeSpeed = null;
putativeLength = leaderDist.plus(followerDist).plus(getGtu().getLength());
}
else
{
constant = params.getParameter(ToledoLaneChangeParameters.C_BCK_TG);
alpha = params.getParameter(ToledoLaneChangeParameters.ALPHA_BCK);
deltaFrontVehicle = 0;
PerceptionCollectable<HeadwayGTU, LaneBasedGTU> itAble = neighbors.getFollowers(lane);
HeadwayGTU second = null;
if (!itAble.isEmpty())
{
Iterator<HeadwayGTU> it = itAble.iterator();
it.next();
second = it.next();
}
if (second != null)
{
// two followers
Iterator<HeadwayGTU> it = neighbors.getFollowers(lane).iterator();
it.next();
HeadwayGTU follower = it.next();
followerDist = follower.getDistance();
followerSpeed = follower.getSpeed();
putativeLength = followerDist.minus(neighbors.getFollowers(lane).first().getDistance())
.minus(neighbors.getFollowers(lane).first().getLength());
}
else
{
// one follower
followerDist = Length.NEGATIVE_INFINITY;
followerSpeed = Speed.NEGATIVE_INFINITY;
putativeLength = followerDist;
}
// add vehicle length to get distance to tail of 1st follower (and then whole negative)
leaderDist =
neighbors.getFollowers(lane).first().getDistance().plus(neighbors.getLeaders(lane).first().getLength());
leaderSpeed = neighbors.getFollowers(lane).first().getSpeed();
distanceToGap = neighbors.getFollowers(lane).first().getDistance().plus(getGtu().getLength()); // own nose to nose
putativeDistance = distanceToGap.plus(neighbors.getFollowers(lane).first().getLength());
putativeSpeed = leaderSpeed;
}
// limit by leader in current lane
if (!gap.equals(Gap.BACKWARD) && !neighbors.getLeaders(RelativeLane.CURRENT).isEmpty()
&& neighbors.getLeaders(RelativeLane.CURRENT).first().getDistance().lt(leaderDist))
{
leaderDist = neighbors.getLeaders(RelativeLane.CURRENT).first().getDistance();
leaderSpeed = neighbors.getLeaders(RelativeLane.CURRENT).first().getSpeed();
deltaFrontVehicle = 1;
}
else
{
deltaFrontVehicle = 0;
}
// calculate relative gap speed and effective gap
Speed dV = followerSpeed.minus(leaderSpeed);
Length effectiveGap = leaderDist.minus(followerDist);
// {@formatter:off}
// calculate utility
double util = constant
+ params.getParameter(ToledoLaneChangeParameters.BETA_DTG) * distanceToGap.si
+ params.getParameter(ToledoLaneChangeParameters.BETA_EG) * effectiveGap.si
+ params.getParameter(ToledoLaneChangeParameters.BETA_FV) * deltaFrontVehicle
+ params.getParameter(ToledoLaneChangeParameters.BETA_RGS) * dV.si
+ alpha * params.getParameter(ToledoLaneChangeParameters.ERROR_TERM);
// {@formatter:on}
return new GapInfo(util, putativeLength, putativeDistance, putativeSpeed);
}
/**
* Returns info regarding gap-acceptance.
* @param gtu GTU
* @param params parameters
* @param perception perception
* @param emuTg emu from target gap model
* @param eLead lead error
* @param eLag lag error
* @param lane lane to evaluate
* @return info regarding gap-acceptance
* @throws ParameterException if parameter is not defined
* @throws OperationalPlanException perception exception
*/
private GapAcceptanceInfo getGapAcceptanceInfo(final LaneBasedGTU gtu, final Parameters params,
final LanePerception perception, final double emuTg, final double eLead, final double eLag, final RelativeLane lane)
throws ParameterException, OperationalPlanException
{
// get lead and lag utility and acceptance
double vLead;
double vLag;
boolean acceptLead;
boolean acceptLag;
NeighborsPerception neighbors = perception.getPerceptionCategory(NeighborsPerception.class);
if (neighbors.getLeaders(lane) != null && !neighbors.getLeaders(lane).isEmpty())
{
Speed dVLead = neighbors.getLeaders(lane).first().getSpeed().minus(gtu.getSpeed());
Length sLead = neighbors.getLeaders(lane).first().getDistance();
// critical gap
Length gLead =
new Length(
Math.exp(params.getParameter(ToledoLaneChangeParameters.C_LEAD)
+ params.getParameter(ToledoLaneChangeParameters.BETA_POS_LEAD)
* Speed.max(dVLead, Speed.ZERO).si
+ params.getParameter(ToledoLaneChangeParameters.BETA_NEG_LEAD)
* Speed.min(dVLead, Speed.ZERO).si
+ params.getParameter(ToledoLaneChangeParameters.BETA_EMU_LEAD) * emuTg
+ params.getParameter(ToledoLaneChangeParameters.ALPHA_TL_LEAD)
* params.getParameter(ToledoLaneChangeParameters.ERROR_TERM)
+ eLead),
LengthUnit.SI);
vLead = Math.log(gLead.si) - (params.getParameter(ToledoLaneChangeParameters.C_LEAD)
+ params.getParameter(ToledoLaneChangeParameters.BETA_POS_LEAD) * Speed.max(dVLead, Speed.ZERO).si
+ params.getParameter(ToledoLaneChangeParameters.BETA_NEG_LEAD) * Speed.min(dVLead, Speed.ZERO).si
+ params.getParameter(ToledoLaneChangeParameters.BETA_EMU_LEAD) * emuTg);
acceptLead = gLead.lt(sLead);
}
else
{
vLead = 0;
acceptLead = false;
}
if (neighbors.getFollowers(lane) != null && !neighbors.getFollowers(lane).isEmpty())
{
Speed dVLag = neighbors.getFollowers(lane).first().getSpeed().minus(gtu.getSpeed());
Length sLag = neighbors.getFollowers(lane).first().getDistance();
// critical gap
Length gLag =
new Length(
Math.exp(params.getParameter(ToledoLaneChangeParameters.C_LAG)
+ params.getParameter(ToledoLaneChangeParameters.BETA_POS_LAG)
* Speed.max(dVLag, Speed.ZERO).si
+ params.getParameter(ToledoLaneChangeParameters.BETA_EMU_LAG) * emuTg
+ params.getParameter(ToledoLaneChangeParameters.ALPHA_TL_LAG)
* params.getParameter(ToledoLaneChangeParameters.ERROR_TERM)
+ eLag),
LengthUnit.SI);
vLag = Math.log(gLag.si) - (params.getParameter(ToledoLaneChangeParameters.C_LAG)
+ params.getParameter(ToledoLaneChangeParameters.BETA_POS_LAG) * Speed.max(dVLag, Speed.ZERO).si
+ params.getParameter(ToledoLaneChangeParameters.BETA_EMU_LAG) * emuTg);
acceptLag = gLag.lt(sLag);
}
else
{
vLag = 0;
acceptLag = false;
}
// gap acceptance emu
double vRatLead = vLead / params.getParameter(ToledoLaneChangeParameters.SIGMA_LEAD);
double vRatLag = vLag / params.getParameter(ToledoLaneChangeParameters.SIGMA_LAG);
double emuGa = vLead * cumNormDist(vRatLead)
+ params.getParameter(ToledoLaneChangeParameters.SIGMA_LEAD) * normDist(vRatLead) + vLag * cumNormDist(vRatLag)
+ params.getParameter(ToledoLaneChangeParameters.SIGMA_LAG) * normDist(vRatLag);
// return info
return new GapAcceptanceInfo(emuGa, acceptLead && acceptLag);
}
/**
* Returns the utility of a lane.
* @param gtu GTU
* @param params parameters
* @param perception perception
* @param emuGa emu from gap acceptance model
* @param sli speed limit info
* @param lane lane to evaluate
* @return utility of lane
* @throws ParameterException if parameter is not defined
* @throws OperationalPlanException perception exception
*/
private double laneUtility(final LaneBasedGTU gtu, final Parameters params, final LanePerception perception,
final double emuGa, final SpeedLimitInfo sli, final RelativeLane lane)
throws ParameterException, OperationalPlanException
{
ToledoPerception toledo = perception.getPerceptionCategory(ToledoPerception.class);
if (!perception.getLaneStructure().getExtendedCrossSection().contains(lane))
{
return 0.0;
}
// get infrastructure info
boolean takeNextOffRamp = false;
for (InfrastructureLaneChangeInfoToledo info : toledo.getInfrastructureLaneChangeInfo(RelativeLane.CURRENT))
{
if (info.getSplitNumber() == 1)
{
takeNextOffRamp = true;
}
}
int deltaNextExit = takeNextOffRamp ? 1 : 0;
Length dExit;
if (!toledo.getInfrastructureLaneChangeInfo(RelativeLane.CURRENT).isEmpty())
{
dExit = toledo.getInfrastructureLaneChangeInfo(RelativeLane.CURRENT).first().getRemainingDistance();
}
else
{
dExit = Length.POSITIVE_INFINITY;
}
int[] delta = new int[3];
int deltaAdd = 0;
if (!toledo.getInfrastructureLaneChangeInfo(lane).isEmpty())
{
InfrastructureLaneChangeInfo ilciLef = toledo.getInfrastructureLaneChangeInfo(lane).first();
if (ilciLef.getRequiredNumberOfLaneChanges() > 1 && ilciLef.getRequiredNumberOfLaneChanges() < 5)
{
deltaAdd = ilciLef.getRequiredNumberOfLaneChanges() - 2;
delta[deltaAdd] = 1;
}
}
// heavy neighbor
NeighborsPerception neighbors = perception.getPerceptionCategory(NeighborsPerception.class);
Length leaderLength = !lane.isCurrent() && !neighbors.getFirstLeaders(lane.getLateralDirectionality()).isEmpty()
? neighbors.getFirstLeaders(lane.getLateralDirectionality()).first().getLength() : Length.ZERO;
Length followerLength = !lane.isCurrent() && !neighbors.getFirstFollowers(lane.getLateralDirectionality()).isEmpty()
? neighbors.getFirstFollowers(lane.getLateralDirectionality()).first().getDistance() : Length.ZERO;
int deltaHeavy = leaderLength.gt(MAX_LIGHT_VEHICLE_LENGTH) || followerLength.gt(MAX_LIGHT_VEHICLE_LENGTH) ? 1 : 0;
// get density
LinearDensity d = getDensityInLane(gtu, perception, lane);
// tail gating
int deltaTailgate = 0;
if (lane.equals(RelativeLane.CURRENT) && !neighbors.getFollowers(RelativeLane.CURRENT).isEmpty()
&& neighbors.getFollowers(RelativeLane.CURRENT).first().getDistance().le(TAILGATE_LENGTH))
{
LinearDensity dL = getDensityInLane(gtu, perception, RelativeLane.LEFT);
LinearDensity dR = getDensityInLane(gtu, perception, RelativeLane.RIGHT);
LinearDensity dRoad = new LinearDensity((dL.si + d.si + dR.si) / 3, LinearDensityUnit.SI);
if (dRoad.le(LOS_DENSITY))
{
deltaTailgate = 1;
}
}
// right most
// TODO definition of 'right most lane' does not account for ramps and weaving sections
int deltaRightMost = 0;
if (lane.equals(RelativeLane.CURRENT) && !toledo.getCrossSection().contains(RelativeLane.RIGHT))
{
deltaRightMost = 1;
}
else if (lane.equals(RelativeLane.RIGHT) && toledo.getCrossSection().contains(RelativeLane.RIGHT)
&& !toledo.getCrossSection().contains(RelativeLane.SECOND_RIGHT))
{
deltaRightMost = 1;
}
// current lane traffic
Speed vFront;
Length sFront;
if (lane.equals(RelativeLane.CURRENT))
{
if (!neighbors.getLeaders(RelativeLane.CURRENT).isEmpty())
{
vFront = neighbors.getLeaders(RelativeLane.CURRENT).first().getSpeed();
sFront = neighbors.getLeaders(RelativeLane.CURRENT).first().getDistance();
}
else
{
vFront = getCarFollowingModel().desiredSpeed(params, sli);
sFront = getCarFollowingModel().desiredHeadway(params, gtu.getSpeed());
}
}
else
{
vFront = Speed.ZERO;
sFront = Length.ZERO;
}
// target lane utility
double constant = 0;
double error = 0;
if (lane.equals(RelativeLane.CURRENT))
{
constant = params.getParameter(ToledoLaneChangeParameters.C_CL);
error = params.getParameter(ToledoLaneChangeParameters.ALPHA_CL)
* params.getParameter(ToledoLaneChangeParameters.ERROR_TERM);
}
else if (lane.equals(RelativeLane.RIGHT))
{
constant = params.getParameter(ToledoLaneChangeParameters.C_RL);
error = params.getParameter(ToledoLaneChangeParameters.ALPHA_RL)
* params.getParameter(ToledoLaneChangeParameters.ERROR_TERM);
}
// {@formatter:off}
return constant
+ params.getParameter(ToledoLaneChangeParameters.BETA_RIGHT_MOST) * deltaRightMost // 0 for LEFT
+ params.getParameter(ToledoLaneChangeParameters.BETA_VFRONT) * vFront.si // 0 for LEFT/RIGHT
+ params.getParameter(ToledoLaneChangeParameters.BETA_SFRONT) * sFront.si // 0 for LEFT/RIGHT
+ params.getParameter(ToledoLaneChangeParameters.BETA_DENSITY) * d.getInUnit(LinearDensityUnit.PER_KILOMETER)
+ params.getParameter(ToledoLaneChangeParameters.BETA_HEAVY_NEIGHBOUR) * deltaHeavy
+ params.getParameter(ToledoLaneChangeParameters.BETA_TAILGATE) * deltaTailgate
+ Math.pow(dExit.getInUnit(LengthUnit.KILOMETER), params.getParameter(ToledoLaneChangeParameters.THETA_MLC))
* (params.getParameter(ToledoLaneChangeParameters.BETA1) * delta[0]
+ params.getParameter(ToledoLaneChangeParameters.BETA2) * delta[1]
+ params.getParameter(ToledoLaneChangeParameters.BETA3) * delta[2])
+ params.getParameter(ToledoLaneChangeParameters.BETA_NEXT_EXIT) * deltaNextExit
+ params.getParameter(ToledoLaneChangeParameters.BETA_ADD) * deltaAdd
+ params.getParameter(ToledoLaneChangeParameters.BETA_EMU_GA) * emuGa // 0 for CURRENT (given correct input)
+ error; // 0 for LEFT
// {@formatter:on}
}
/**
* Returns the density in the given lane based on the following and leading vehicles.
* @param gtu subject GTU
* @param perception perception
* @param lane lane to get density of
* @return density in the given lane based on the following and leading vehicles
* @throws OperationalPlanException perception exception
*/
private LinearDensity getDensityInLane(final LaneBasedGTU gtu, final LanePerception perception, final RelativeLane lane)
throws OperationalPlanException
{
int nVehicles = 0;
NeighborsPerception neighbors = perception.getPerceptionCategory(NeighborsPerception.class);
Length up = Length.ZERO;
Length down = Length.ZERO;
for (HeadwayGTU neighbor : neighbors.getFollowers(lane))
{
nVehicles++;
down = neighbor.getDistance();
}
for (HeadwayGTU neighbor : neighbors.getLeaders(lane))
{
nVehicles++;
up = neighbor.getDistance();
}
if (nVehicles > 0)
{
return new LinearDensity(nVehicles / up.plus(down).getInUnit(LengthUnit.KILOMETER),
LinearDensityUnit.PER_KILOMETER);
}
return LinearDensity.ZERO;
}
/**
* Returns the cumulative density function (CDF) at given value of the standard normal distribution.
* @param x value
* @return cumulative density function (CDF) at given value of the standard normal distribution
*/
private static double cumNormDist(final double x)
{
return .5 * (1 + erf(x / Math.sqrt(2)));
}
/**
* Error function approximation using Horner's method.
* @param x value
* @return error function approximation
*/
private static double erf(final double x)
{
double t = 1.0 / (1.0 + 0.5 * Math.abs(x));
// use Horner's method
// {@formatter:off}
double tau = t * Math.exp(-x * x - 1.26551223 + t * (1.00002368 + t * (0.37409196
+ t * (0.09678418 + t * (0.18628806 + t * (0.27886807 + t * (-1.13520398
+ t * (1.48851587 + t * (-0.82215223 + t * (0.17087277))))))))));
// {@formatter:on}
return x >= 0 ? 1 - tau : tau - 1;
}
/**
* Returns the probability density function (PDF) at given value of the standard normal distribution.
* @param x value
* @return probability density function (PDF) at given value of the standard normal distribution
*/
private static double normDist(final double x)
{
return Math.exp(-x * x / 2) / Math.sqrt(2 * Math.PI);
}
/**
* Gap indicator in adjacent lane.
* <p>
* Copyright (c) 2013-2018 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved.
* <br>
* BSD-style license. See <a href="http://opentrafficsim.org/docs/current/license.html">OpenTrafficSim License</a>.
* <p>
* @version $Revision$, $LastChangedDate$, by $Author$, initial version Jul 11, 2016 <br>
* @author <a href="http://www.tbm.tudelft.nl/averbraeck">Alexander Verbraeck</a>
* @author <a href="http://www.tudelft.nl/pknoppers">Peter Knoppers</a>
* @author <a href="http://www.transport.citg.tudelft.nl">Wouter Schakel</a>
*/
private enum Gap
{
/** Gap in front of leader in adjacent lane. */
FORWARD,
/** Gap between follower and leader in adjacent lane. */
ADJACENT,
/** Gap behind follower in adjacent lane. */
BACKWARD;
}
/**
* Contains info regarding an adjacent gap.
* <p>
* Copyright (c) 2013-2018 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved.
* <br>
* BSD-style license. See <a href="http://opentrafficsim.org/docs/current/license.html">OpenTrafficSim License</a>.
* <p>
* @version $Revision$, $LastChangedDate$, by $Author$, initial version Jul 11, 2016 <br>
* @author <a href="http://www.tbm.tudelft.nl/averbraeck">Alexander Verbraeck</a>
* @author <a href="http://www.tudelft.nl/pknoppers">Peter Knoppers</a>
* @author <a href="http://www.transport.citg.tudelft.nl">Wouter Schakel</a>
*/
private class GapInfo implements Serializable
{
/** */
private static final long serialVersionUID = 20160811L;
/** Utility of the gap. */
private final double utility;
/** Length of the gap. */
private final Length length;
/** Distance towards the gap. */
private final Length distance;
/** Speed of the vehicle in front or behind the gap, always the closest. */
private final Speed speed;
/**
* @param utility utility of gap
* @param length length of the gap
* @param distance distance towards the gap
* @param speed speed of the vehicle in front or behind the gap, always the closest
*/
GapInfo(final double utility, final Length length, final Length distance, final Speed speed)
{
this.utility = utility;
this.length = length;
this.distance = distance;
this.speed = speed;
}
/**
* @return utility
*/
public final double getUtility()
{
return this.utility;
}
/**
* @return length
*/
public final Length getLength()
{
return this.length;
}
/**
* @return distance
*/
public final Length getDistance()
{
return this.distance;
}
/**
* @return speed
*/
public final Speed getSpeed()
{
return this.speed;
}
/** {@inheritDoc} */
@Override
public String toString()
{
return "GapAcceptanceInfo [utility = " + this.utility + ", length = " + this.length + ", distance = "
+ this.distance + ", speed = " + this.speed + "]";
}
}
/**
* Contains info regarding gap-acceptance.
* <p>
* Copyright (c) 2013-2018 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved.
* <br>
* BSD-style license. See <a href="http://opentrafficsim.org/docs/current/license.html">OpenTrafficSim License</a>.
* <p>
* @version $Revision$, $LastChangedDate$, by $Author$, initial version Jul 11, 2016 <br>
* @author <a href="http://www.tbm.tudelft.nl/averbraeck">Alexander Verbraeck</a>
* @author <a href="http://www.tudelft.nl/pknoppers">Peter Knoppers</a>
* @author <a href="http://www.transport.citg.tudelft.nl">Wouter Schakel</a>
*/
private class GapAcceptanceInfo implements Serializable
{
/** */
private static final long serialVersionUID = 20160811L;
/** Emu value of gap-acceptance. */
private final double emu;
/** Whether gap is acceptable. */
private final boolean acceptable;
/**
* @param emu emu
* @param acceptable whether gap is acceptable
*/
GapAcceptanceInfo(final double emu, final boolean acceptable)
{
this.emu = emu;
this.acceptable = acceptable;
}
/**
* @return emu
*/
public final double getEmu()
{
return this.emu;
}
/**
* @return acceptable
*/
public final boolean isAcceptable()
{
return this.acceptable;
}
/** {@inheritDoc} */
@Override
public String toString()
{
return "GapAcceptanceInfo [emu = " + this.emu + ", acceptable = " + this.acceptable + "]";
}
}
/** {@inheritDoc} */
@Override
public final String toString()
{
return "Toledo tactical planner.";
}
}