Martins Track is a 4.2 km Hard 4WD trail in Glenburn, Victoria, Australia. Expect max gradient up to 2%, includes a river crossing. Average drive time is 28.47 minutes.
Get ready to test your 4WD's water-fording capabilities on Martins Track, a challenging Victorian trail that'll have you navigating river crossings and technical terrain near Glenburn. This 4.2 km route packs serious adventure into a relatively compact distance, with 127 vehicles having tackled its obstacles before you. You'll encounter multiple water crossings that demand respect and proper technique—high-clearance vehicles with quality approach angles handle this better, so come prepared with recovery gear and a spotter if possible.
The trail's modest 2% grade belies its difficulty rating; what makes Martins Track genuinely hard is the combination of river crossings, uneven terrain, and the concentration of technical sections. You should expect to spend around 28 minutes navigating this beast, though conditions can vary significantly depending on recent rainfall and water levels. The scenery along the route showcases the natural beauty of regional Victoria, with native vegetation flanking the track and the river system providing both scenic appeal and serious driving challenges.
Before heading out, check current conditions and water depth forecasts—river crossings can become impassable after heavy rain. Ensure your vehicle is in top mechanical condition, carry extra fuel, and have recovery equipment on board. This isn't a trail for novices; you'll need solid 4WD experience and confidence in your vehicle's capabilities to enjoy it safely.
Explore Martins Track in the app
Offline maps, live conditions & more
4.2 km
Distance
28 min
Avg Time
11 km/h
Avg Speed
2%
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?
20°C
Clear
4 km/h N
49%
20°C
0
7-Day Forecast
Sunny
Sunny
Sunny
Sunny
Partly Cloudy
Moderate rain
Patchy rain nearby
Get offline topo maps, live conditions, and data-driven difficulty ratings.