Adjust how autopilot vehicles behave in CARLA, including speed, following distance, traffic light responses, and lane changes. Apply settings across traffic or to individual vehicles, and configure seeds and synchronization for repeatable traffic runs.
中文简介正在准备中。当前显示英语简介。
Tunes the CARLA Traffic Manager that drives autopilot vehicles — global and per-vehicle speed, following distance, running lights/signs, lane-change behaviour, lane offset, TM-managed lights, deterministic seed, hybrid physics, and TM sync mode. Use when the user asks to "make the traffic faster/slower", "let cars run red lights", "keep more distance", "stop lane changes", "make traffic deterministic", or otherwise change how autopilot cars behave. For manually driving one car, use control-vehicle.
安装前可以查看交给 AI 代理的指令内容。
Paths.
scripts/…andreferences/…below are relative to the directory holding this SKILL.md. Your working directory is the user's project, not that directory, so prefix them with its absolute path or the command is not found.
Shape how autopilot vehicles drive — globally (all cars on a TM port) or
per-vehicle. This is the counterpart to control-vehicle:
that skill drives one car manually; this one tunes the autonomous traffic. It
affects cars enrolled in autopilot (see spawn-vehicles),
on the matching --tm-port.
Progress:
- [ ] Step 1: Check prerequisites (bash scripts/check_env.sh), clear FAILs
- [ ] Step 2: Have autopilot vehicles on the TM port (spawn-vehicles)
- [ ] Step 3: Apply global and/or per-vehicle settings
- [ ] Step 4: Watch the change on a rendered server
Commands need CARLA_HOST/CARLA_PORT/TM_PORT from scripts/env.sh. Use the
same --tm-port the vehicles were spawned on (default 8000).
bash scripts/check_env.sh
source scripts/env.sh
# GLOBAL: all traffic 30% faster than the limit, keep 3 m, deterministic
python3 scripts/traffic.py global --speed-diff -30 --distance 3 --seed 42
# EVERY car: run 50% of red lights, allow lane changes
python3 scripts/traffic.py all --ignore-lights 50 --auto-lane-change on
# ONE car (the ego's neighbour): crawl, hug the right, TM manages its lights
python3 scripts/traffic.py vehicle --id 42 --speed-diff 60 --lane-offset 0.5 --lights on
# make the ego's autopilot reckless
python3 scripts/traffic.py vehicle --role hero --ignore-vehicles 40 --ignore-signs 100
# TM sync (only alongside a synchronous world — see set-world-settings)
python3 scripts/traffic.py sync on
Watch the traffic on a rendered server. Settings are write-only on the TM (no read-back), so the command reports what it set and to how many vehicles.
Example 1: faster traffic
User says: "make the traffic move faster"
global --speed-diff -40 (40% above the limit). Negative = faster.
Example 2: chaos for testing
User says: "make cars run lights and ignore each other"
all --ignore-lights 100 --ignore-vehicles 60 — expect collisions (that's the
point of the test).
Example 3: deterministic traffic run
User says: "same traffic behaviour every run"
global --seed 42, in synchronous mode (sync on + set-world-settings), spawn
with a seed. Seed + sync is what makes it reproducible.
Problem: nothing changes
Cause: cars aren't on this TM port, or aren't on autopilot, or you set the ego
(which you're driving manually).
Solution: match --tm-port to the spawn; ensure autopilot is on (spawn-vehicles
default); target autopilot cars.
Problem: cars froze after sync on
Cause: TM sync without a synchronous, ticked world (or vice-versa).
Solution: keep TM sync and world sync in step and tick the world (set-world-settings).
Problem: --speed-diff 30 made them slower, not faster
Cause: the value is % below the limit.
Solution: use a negative value to go faster (-30 = 30% above the limit).
Problem: collisions everywhere
Cause: high --ignore-vehicles / --ignore-lights.
Solution: lower them; 0 restores full caution.
Traffic Manager behaviour state (global + per-vehicle). No file, no read-back; the command reports what it applied.
Detail (every setting, the speed-difference sign, hybrid physics, determinism, sync coupling) in references/traffic-manager.md.
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Add a message type to CARLA's native ROS 2 interface. Create its C++ data structure, serialization code for transmission, type identity hash, registration, and tests, with Docker-based hash calculation and build checks.
中文简介正在准备中。当前显示英语简介。
Extend CARLA’s native ROS 2 interface to publish sensor data or receive vehicle commands. Covers topic implementation, registration, data connections, and verification, plus adding middleware, the communication layer used to exchange messages.
中文简介正在准备中。当前显示英语简介。
Summarize ScenarioRunner results to see which scenarios passed and which checks failed. Compare runs before and after changes, or analyze recorded driving to produce measurements and plots of vehicle distance and deviation from the lane center.
中文简介正在准备中。当前显示英语简介。
Checks a local CARLA checkout for missing API documentation, outdated references, broken links, and pages absent from navigation. Produces a grouped Markdown report without building the project or running the simulator.
中文简介正在准备中。当前显示英语简介。
Read and display CARLA object bounding boxes, then project them onto a camera image as 2D rectangles. Export an annotated PNG and box coordinates in JSON for object detection annotation work.
中文简介正在准备中。当前显示英语简介。
Builds CARLA's ue4-dev branch on Linux, producing the Unreal Engine 4.26 editor, server modules, and an installed Python client package. Fetches required content, optionally compiles native ROS 2 support, and verifies the build against a source-built server.
中文简介正在准备中。当前显示英语简介。