Package org.opentrafficsim.road.gtu.lane.perception.mental.ar

package org.opentrafficsim.road.gtu.lane.perception.mental.ar

Mental implementation based on Anticipation Reliance as determined by a task manager.

Copyright (c) 2025-2025 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved.
BSD-style license. See OpenTrafficSim License.

Author:

Alexander Verbraeck, Peter Knoppers, Wouter Schakel

Related Packages

Package	Description
org.opentrafficsim.road.gtu.lane.perception.mental	Mental mechanisms are a part of perception.
org.opentrafficsim.road.gtu.lane.perception.mental.channel	Mental implementation based on an Attention Matrix, determining attention over different channels.
org.opentrafficsim.road.gtu.lane.perception.mental.sdm	Package for the Stochastic Distraction Model by and in cooperation with Manuel Lindorfer (manuel.lindorfer@fh-ooe.at).

Class	Description
AbstractArTask	Has id, task demand and anticipation reliance as internal variables.
ArFuller	Extends Fuller with the concept of anticipation reliance (AR).
ArTask	Interface for tasks within in an Anticipation Reliance context where a task manager determines level of Anticipation Reliance and task demand.
ArTaskCarFollowing	Task demand for car-following.
ArTaskCarFollowingExp	Car-following task demand based on headway with exponential relationship.
ArTaskConstant	Class for constant demand.
ArTaskExponential	Class for exponential demand.
ArTaskHeadwayBased	Task class that translates a (composite) headway in to a task demand.
ArTaskLaneChanging	Lane changing task based on car-following (as gap-acceptance proxy), and an underlying consideration to include adjacent lanes.
ArTaskLaneChangingD	Lane change task demand depending on lane change desire.
ArTaskRoadSideDistraction	Task-demand for road-side distraction.