Gleesons Lane is a 4.8 km Easy 4WD trail in Moormbool West, Victoria, Australia. Average drive time is 7 minutes.
Gleesons Lane offers 4WD enthusiasts a relaxed introduction to off-road driving near Moormbool West, perfect for those building confidence or enjoying a casual weekend adventure. You'll traverse 4.8 kilometres of well-maintained rural track that winds through picturesque farmland and open grassland, showcasing the gentle landscape characteristic of this region. The predominantly flat terrain means you can focus on enjoying the scenery rather than wrestling with technical challenges—ideal for families or newcomers to four-wheel driving.
The driving experience is straightforward and forgiving, with minimal obstacles and a 0% steep grade ensuring that even standard 4WD vehicles will handle the conditions comfortably. You'll encounter typical rural track conditions with grassed sections and hard-packed earth, providing enough variety to keep the drive engaging without demanding advanced driving skills. The journey takes approximately seven minutes to complete, making it perfect for combining with other nearby trails or as a pleasant detour during a regional exploration.
Before heading out, ensure your vehicle is in good working order and carry basic recovery equipment—standard practice for any off-road adventure. While this trail presents minimal hazards, always drive to conditions and be prepared for variable weather that may affect track surfaces. Track your progress on the Newtracs app to log your completion and contribute to the community knowledge about this accessible rural route.
Explore Gleesons Lane in the app
Offline maps, live conditions & more
4.8 km
Distance
7 min
Avg Time
47 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?
6°C
Cloudy
16 km/h SW
84%
2°C
0
7-Day Forecast
Patchy rain nearby
Patchy rain nearby
Patchy rain nearby
Sunny
Sunny
Sunny
Sunny
Get offline topo maps, live conditions, and data-driven difficulty ratings.