Reedy Track is a 2.7 km Medium 4WD trail in Lorne, Victoria, Australia. Expect max gradient up to 4%. Average drive time is 12 minutes.
You'll discover why Reedy Track is a favourite among experienced 4WD drivers near Lorne – it offers genuine off-road challenge without overwhelming difficulty. This 2.7 km route delivers varied terrain that tests your vehicle handling skills while rewarding you with beautiful Victorian bushland scenery. The trail winds through dense forest sections with tight vegetation clearance, requiring precision steering and awareness of your vehicle's width.
The moderate difficulty rating reflects a steady 4% grade that keeps things interesting throughout your 12-minute drive. You'll encounter rocky outcrops, rutted sections, and uneven ground that demand proper tyre pressure and suspension setup. The forest canopy provides welcome shade, though you should watch for fallen branches and ensure good visibility – consider driving during daylight hours and checking weather conditions beforehand, as wet conditions can make the track significantly more challenging.
With only five previous successful completions logged on Newtracs, you'll have the satisfaction of tackling a less-travelled route. Come prepared with recovery gear, let someone know your route, and ensure your vehicle is well-maintained before attempting this trail. The combination of technical sections, natural obstacles, and genuine bush experience makes Reedy Track an excellent mid-level challenge for drivers looking to build their off-road confidence near the iconic Great Ocean Road region.
Explore Reedy Track in the app
Offline maps, live conditions & more
2.7 km
Distance
12 min
Avg Time
14 km/h
Avg Speed
4%
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?
18°C
Sunny
7 km/h E
63%
18°C
0.2
7-Day Forecast
Sunny
Sunny
Partly Cloudy
Patchy rain nearby
Heavy rain
Patchy rain nearby
Patchy rain nearby
Get offline topo maps, live conditions, and data-driven difficulty ratings.