Trio Gully Road is a 3.2 km Easy 4WD trail in Briagolong, Victoria, Australia. Average drive time is 13 minutes.
Trio Gully Road offers 4WD enthusiasts an accessible introduction to off-road driving near Briagolong, with a perfectly graded route that builds confidence without overwhelming newer drivers. You'll navigate 3.2 km of well-formed track that showcases the gentle landscapes of Victoria's high country, making this an ideal choice for families or those testing their vehicle's capabilities for the first time.
The terrain rolls through pastoral farmland with minimal technical challenges—there are no steep sections to negotiate, allowing you to focus on smoothly handling the track surface and enjoying the surrounding countryside. You'll find the driving experience straightforward and forgiving, with a completion time of just 13 minutes meaning you can easily fit this trail into a day of exploring the region. The scenic value comes from open vistas and quiet rural beauty rather than dramatic geological features, but that accessibility is precisely what makes Trio Gully Road a gem for building skills.
Before heading out, ensure your vehicle is in good working order and carry water and basic recovery gear—even easy trails benefit from standard 4WD preparation. The track conditions are generally stable, though you should check current weather conditions as Victoria's high country can be unpredictable. With only a handful of previous adventurers logged on the Newtracs app, you'll experience a relatively quiet corner of the region perfect for a relaxed off-road experience.
Explore Trio Gully Road in the app
Offline maps, live conditions & more
3.2 km
Distance
13 min
Avg Time
15 km/h
Avg Speed
--
Steep Grade
See how many vehicles have driven this trail
Already have an account?
See who's driving this trail and when
Already have an account?
14°C
Mist
4 km/h NE
95%
14°C
0
7-Day Forecast
Patchy rain nearby
Patchy rain nearby
Patchy rain nearby
Moderate rain
Patchy rain nearby
Partly Cloudy
Sunny
Get offline topo maps, live conditions, and data-driven difficulty ratings.