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Gamer Transit Authority: 4/5 Lines

Gamer Transit Authority: 4/5 Lines

A Roblox experience owned by Gamer Transit Authority.

SimulatorENpublic transit simulationNYC Subwaytrain driving

Gamer Transit Authority: 4/5 Lines is a simulator experience created on 2023-11-23. The game has accumulated 1,200,307 lifetime visits and holds a 59% like percentage. Currently, 1,098 users have favorited the title. The description indicates an Alpha V3.0.1 update with map expansions and station additions. No players are currently active.

Description (written by the developer; not a statement by this register)

NEW EXPANSION UPDATE [Alpha V3.0.1] +✨ MAP EXPANDED + 🔥MORE STATIONS ADDED + 🔨 Fixed Stations & Train Announcements + More! + ❓The 5 Express line coming soon? ⚠If You are lagging, please lower your graphics or join a new server; For the best Experience increase your graphics, and use a high performance device with a Larger screen! Tags (IGNORE): New York City Subway , NYCT, Brighton Line , New York City Transit , Subway , Train , Gamer Transit Authority , B/Q, IRT Lines, NYC Subway

Last updated by the developer 2 Apr 2026, 21:33 UTC.

0
playing (measured 11 Aug 2026, 02:22 UTC)
1,200,307
lifetime visits
59%
liked (91 👍 / 62 👎)
1,098
favourites (0.9 per 1k visits)
23 November 2023
created (per Roblox)

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Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
11 Aug 2026, 02:220first reading

Concurrent players at each of our measurements (insert-on-change).

Badge funnel

Welcome! · welcome469,425 · 100.0% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.