org.opentrafficsim.road.gtu.lane.perception.headway

Interface HeadwayGTU

All Superinterfaces:

Comparable<Headway>, Headway, org.opentrafficsim.core.perception.PerceivedObject, Serializable

All Known Implementing Classes:

AbstractHeadwayGTU, HeadwayGTUReal, HeadwayGTURealCopy, HeadwayGTUSimple, HeadwayGTUType

public interface HeadwayGTU
extends Headway

Interface for perceived surrounding GTU's.

Copyright (c) 2013-2017 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved.
BSD-style license. See OpenTrafficSim License.

Version:

$Revision$, $LastChangedDate$, by $Author$, initial version 24 mrt. 2017

Author:

Alexander Verbraeck, Peter Knoppers, Wouter Schakel

Nested Class Summary

Nested classes/interfaces inherited from interface org.opentrafficsim.road.gtu.lane.perception.headway.Headway

Headway.ObjectType

Method Summary

Modifier and Type	Method and Description
org.opentrafficsim.core.gtu.behavioralcharacteristics.BehavioralCharacteristics	getBehavioralCharacteristics() Many models that observe a GTU need to predict the imminent behavior of that GTU.
CarFollowingModel	getCarFollowingModel() Many models that observe a GTU need to predict the imminent behavior of that GTU.
org.opentrafficsim.core.gtu.GTUType	getGtuType()
org.opentrafficsim.core.network.route.Route	getRoute() Models responding to other GTU may assume a route of the vehicle, for instance at intersections.
SpeedLimitInfo	getSpeedLimitInfo() Many models that observe a GTU need to predict the imminent behavior of that GTU.
boolean	isBrakingLightsOn()
boolean	isEmergencyLightsOn()
boolean	isFacingSameDirection()
boolean	isHonking()
boolean	isLeftTurnIndicatorOn()
boolean	isRightTurnIndicatorOn()
HeadwayGTU	moved(org.djunits.value.vdouble.scalar.Length headway, org.djunits.value.vdouble.scalar.Speed speed, org.djunits.value.vdouble.scalar.Acceleration acceleration) Creates a copy with different headway, speed and possibly acceleration.

Methods inherited from interface org.opentrafficsim.road.gtu.lane.perception.headway.Headway

compareTo, getAcceleration, getDistance, getId, getLength, getObjectType, getOverlap, getOverlapFront, getOverlapRear, getSpeed, isAhead, isBehind, isParallel

Method Detail

getGtuType

org.opentrafficsim.core.gtu.GTUType getGtuType()

Returns:

gtuType

isFacingSameDirection

boolean isFacingSameDirection()

Returns:

facingSameDirection

isBrakingLightsOn

boolean isBrakingLightsOn()

Returns:

were the braking lights on?

isLeftTurnIndicatorOn

boolean isLeftTurnIndicatorOn()

Returns:

was the left turn indicator on?

isRightTurnIndicatorOn

boolean isRightTurnIndicatorOn()

Returns:

was the right turn indicator on?

isEmergencyLightsOn

boolean isEmergencyLightsOn()

Returns:

were the emergency lights on?

isHonking

boolean isHonking()

Returns:

was the vehicle honking or ringing its bell when being observed for the headway?

moved

HeadwayGTU moved(org.djunits.value.vdouble.scalar.Length headway,
                 org.djunits.value.vdouble.scalar.Speed speed,
                 org.djunits.value.vdouble.scalar.Acceleration acceleration)

Creates a copy with different headway, speed and possibly acceleration. It may not be alongside. This method is used to anticipate movement of a neighboring GTU.

Parameters:

headway - headway

speed - speed

acceleration - acceleration

Returns:

copy with different headway, speed and possibly acceleration

getCarFollowingModel

CarFollowingModel getCarFollowingModel()

Many models that observe a GTU need to predict the imminent behavior of that GTU. Having a car following model of the observed GTU can help with that. The car following model that is returned can be on a continuum between the actual car following model of the observed GTU and the own car following model of the observing GTU, not making any assumptions about the observed GTU. When successive observations of the GTU take place, parameters about its behavior can be estimated more accurately. Another interesting easy-to-implement solution is to return a car following model per GTU type, where the following model of a truck can differ from that of a car.

Returns:

a car following model that represents the expected behavior of the observed GTU

getBehavioralCharacteristics

org.opentrafficsim.core.gtu.behavioralcharacteristics.BehavioralCharacteristics getBehavioralCharacteristics()

Many models that observe a GTU need to predict the imminent behavior of that GTU. Having an estimate of the behavioral characteristics of the observed GTU can help with that. The behavioral characteristics that are returned can be on a continuum between the actual behavioral characteristics of the observed GTU and the own behavioral characteristics of the observing GTU, not making any assumptions about the observed GTU. When successive observations of the GTU take place, parameters about its behavior can be estimated more accurately. Another interesting easy-to-implement solution is to return a set of behavioral characteristics per GTU type, where the behavioral characteristics of a truck can differ from that of a car.

Returns:

the behavioral characteristics that represent the expected behavior of the observed GTU

getSpeedLimitInfo

SpeedLimitInfo getSpeedLimitInfo()

Many models that observe a GTU need to predict the imminent behavior of that GTU. Having a model of the speed info profile for the observed GTU can help with predicting its future behavior. The speed limit info that is returned can be on a continuum between the actual speed limit model of the observed GTU and the own speed limit model of the observing GTU, not making any assumptions about the observed GTU. When successive observations of the GTU take place, parameters about its behavior, such as the maximum speed it accepts, can be estimated more accurately. Another interesting easy-to-implement solution is to return a speed limit info object per GTU type, where the returned information of a truck -- with a maximum allowed speed on 80 km/h -- can differ from that of a car -- which can have a maximum allowed speed of 100 km/h on the same road.

Returns:

a speed limit model that helps in determining the expected behavior of the observed GTU

getRoute

org.opentrafficsim.core.network.route.Route getRoute()

Models responding to other GTU may assume a route of the vehicle, for instance at intersections. The route may be short, i.e. only over the next intersection. Implementations may return anything from the actual route, a route based on indicators and other assumptions, or null if simply not known/estimated.

Returns:

route of gtu