**This documentation refers to CARLA 0.9.X**. <br>
The API changed significantly from previous versions (0.8.X). There is another documentation regarding those versions that can be found [here](https://carla.readthedocs.io/en/stable/getting_started/).
__The client__ is the module the user runs to ask for information or changes in the simulation. A client runs with an IP and a specific port. It communicates with the server via terminal. There can be many clients running at the same time. Advanced multiclient managing requires thorough understanding of CARLA and [synchrony](adv_synchrony_timestep.md).
__The world__ is an object representing the simulation. It acts as an abstract layer containing the main methods to spawn actors, change the weather, get the current state of the world, etc. There is only one world per simulation. It will be destroyed and substituted for a new one when the map is changed.
__Blueprints__ are already-made actor layouts necessary to spawn an actor. Basically, models with animations and a set of attributes. Some of these attributes can be customized by the user, others don't. There is a [__Blueprint library__](bp_library.md) containing all the blueprints available as well as information on them.
__The map__ is the object representing the simulated world, the town mostly. There are eight maps available. All of them use OpenDRIVE 1.4 standard to describe the roads.
__Roads, lanes and junctions__ are managed by the [Python API](python_api.md) to be accessed from the client. These are used along with the __waypoint__ class to provide vehicles with a navigation path.
__Traffic signs__ and __traffic lights__ are accessible as [__carla.Landmark__](#python_api.md#carla.landmark) objects that contain information about their OpenDRIVE definition. Additionally, the simulator automatically generates stops, yields and traffic light objects when running using the information on the OpenDRIVE file. These have bounding boxes placed on the road. Vehicles become aware of them once inside their bounding box.
__Sensors__ wait for some event to happen, and then gather data from the simulation. They call for a function defining how to manage the data. Depending on which, sensors retrieve different types of __sensor data__.
A sensor is an actor attached to a parent vehicle. It follows the vehicle around, gathering information of the surroundings. The sensors available are defined by their blueprints in the [Blueprint library](bp_library.md).
CARLA offers a wide range of features that go beyond the scope of this introduction to the simulator. Here are listed some of the most remarkable ones. However, it is highly encouraged to read the whole __First steps__ section before starting with the advanced steps.
* [__OpenDRIVE standalone mode__](adv_opendrive.md). Generates a road mesh using only an OpenDRIVE file. Allows to load any OpenDRIVE map into CARLA without the need of creating assets.
* [__PTV-Vissim co-simulation__](adv_ptv.md). Run a synchronous simulation between CARLA and PTV-Vissim traffic simulator.
* [__Recorder__](adv_recorder.md). Saves snapshots of the simulation state to reenact a simulation with exact precision.
* [__Rendering options__](adv_rendering_options.md). Graphics quality settings, off-screen rendering and a no-rendering mode.
* [__RSS__](adv_rss.md). Integration of the [C++ Library for Responsibility Sensitive Safety](https://github.com/intel/ad-rss-lib) to modify a vehicle's trajectory using safety checks.
* [__Simulation time and synchrony__](adv_synchrony_timestep.md). Everything regarding the simulation time and server-client communication.
* [__SUMO co-simulation__](adv_sumo.md). Run a synchronous simulation between CARLA and SUMO traffic simulator.
* [__Traffic manager__](adv_traffic_manager.md). This module is in charge of every vehicle set to autopilot mode. It simulates traffic in the city for the simulation to look like a real urban environment.
