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Package Summary
Package
Description
The RoadDefinitions package contains interfaces that give access to the core definitions that can be used to interpret the
RoadNetwork and the RoadPerceivableContext.
Generate GTUs according to some prescription.
Classes concerning generation of
LaneBasedGtuCharacteristicsGenerator for vehicle generation.Classes concerning
Generator<Duration> to produce headways for vehicle generation.The lane-based GTUs are the Generalized Travel Units that travel in lanes, and need to switch lanes to overtake.
Classes about vehicle control, including ACC and CACC.
Implementation of lane-based perception for the GTU.
Categories define a set of perceivable information.
Contains perception categories to perceive neighbors.
Copyright (c) 2013-2024 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands.
Mental mechanisms are a part of perception.
Package for the Stochastic Distraction Model by and in cooperation with Manuel Lindorfer (manuel.lindorfer@fh-ooe.at).
The lane structure provides a way to see the world for a lane based model.
Specific operational plan method for road-vehicles operating in a lane-based network.
Tactical planners for a lane-based GTU.
Classes that deal with lane changing models.
GTU (Car) following models such as IDM+.
Classes that deal with lane changing models.
Classes that implement the LMRS lane change model integrated with a car-following model forming a tactical planner.
Package for tactical planners of public transportation.
Copyright (c) 2013-2024 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands.
Static methods for composition in tactical planners.
LMRS (Lane change Model with Relaxation and Synchronization) utilities for tactical planner.
Strategical planners for a road-based GTU.
Classes for ramp metering.
Factories for Links, Lanes, Nodes.
Classes that provide detailed cross-sections of a link using lanes, markers and sensors.
Lane change possibility models.
Contains classes describing intersection conflicts.
Lane-based objects such as barriers, gates, traffic lights, DRIPs, speed signs, obstacles on the road, etc.
Lane-based objects that act as sensors.
Traffic light and traffic light controller objects.
Copyright (c) 2013-2024 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands.
Copyright (c) 2013-2024 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands.
Copyright (c) 2013-2024 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands.
Classes to connect driver behavior with many different aspects that govern the desired speed.
O/D matrices as part of strategical planning for GTUs.