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Complete Project Delivery
A structured, transparent process designed for institutional clients — with permitting documentation, environmental integration, and ongoing support built in from day one.
Our proprietary software enables us to optimize every meter of trail while calculating rider speeds, trajectories, and material volumes in real-time. This means we adapt to the terrain's natural features instead of fighting them — delivering better riding experiences with less environmental disruption.
Environmentally responsible by design: We dig only where the trail will be, using native material exclusively. Vegetation strips are preserved, side slopes are restored with original topsoil, and our hydrological modelling ensures drainage follows natural watershed patterns — routing surface water away from the trail and into stable, natural channels. No imported fill, no unnecessary clearing — just precise earthwork that respects the landscape and satisfies environmental review requirements.
29 engineered algorithms. Each one calibrated to a published standard or peer‑reviewed reference.
Our team developed our own engineering platform specifically for mountain bike trail infrastructure — combining physics simulation, terrain analysis, and construction documentation into a single, validated workflow. No general‑purpose CAD software adapted for trails. Every algorithm is calibrated to recognised civil‑engineering, hydrology, and BIM standards — so the design package stands up to permitting review, insurance assessment, and BIM coordination.
How the trail behaves under a rider — validated before a single shovel hits the ground.
Every jump trajectory is computed via 4th‑order Runge‑Kutta integration including aerodynamic drag — then validated against ASTM F2291 equivalent‑fall‑height limits and the Hubbard (2009) safer‑landing methodology. Lip angle and landing curvature are matched to deliver tangent‑to‑velocity touchdown — the geometry condition that makes a jump safe to land at the speed it's actually approached at.
Speed is propagated continuously along the alignment using the Martin et al. (1998) cycling power model — accounting for grade, rolling resistance, drag and corner radius. Every berm, roller, and feature geometry is tuned to the speed riders actually reach there.
From LIDAR to drainage — the trail engineered to work with the watershed, not against it.
Catchment delineation runs on LIDAR DEMs using D8 flow routing with Priority‑Flood (Barnes et al. 2014) and Lindsay (2016) hybrid breach‑fill conditioning — preserving natural drainage through the trail corridor. Culverts are sized via Manning's equation per FHWA HEC‑22 and FAO Conservation Guide No. 13.
Soil loss risk is mapped per‑cell using RUSLE (USDA AH‑703) combined with the Moore & Burch (1986) Sediment Transport Index and Nobre et al. (2011) Height‑Above‑Nearest‑Drainage. Red zones — concentrated flow, near‑stream, high‑erosivity slopes — are identified and redesigned before they become maintenance problems.
Permit‑ready engineering deliverables that satisfy civil reviewers and BIM workflows.
Cut, fill, topsoil stripping and net haul volumes are computed cross‑section by cross‑section using the Average End Area method — the standard prescribed by FHWA Construction Manual §6.3 and the AASHTO Green Book. Volumes drive realistic budgets and eliminate the cost surprises that come from under‑estimated earthwork scope.
Horizontal alignments use Clothoid‑Circle‑Clothoid (Euler spiral) transitions per AASHTO §3.3.3 and EN 13803 — the same geometry used in road and rail design. The complete trail (alignment, cuts, fills, drainage) exports as IFC 4x3 (ISO 16739‑1:2024) for direct interoperability.
The result: design intent is fully preserved from model to machine to finished trail. No field interpretation. No guesswork. What we design is what gets built — and the engineering rationale is documented to a standard a permitting officer or insurance reviewer can verify.
We start with high‑resolution LIDAR, constraint mapping, and hydrological modelling — analysing soil, water flow, catchment areas, and ecosystem factors — so early decisions are based on real data and not assumptions. Understanding how water moves across the site means trails stay rideable longer and require less repair after storms.
Every trail line is designed in a digital 3D model, with speed, flow, jump geometry, and rider experience validated virtually. Design intent matches what gets built — not trial‑and‑error in the field.
We simulate rider dynamics — including speed, trajectories, G‑forces, and landings — to identify risky elements before they exist in the real world. Safety and uptime are engineered, not guessed.
We produce permitting engineering drawings and technical documentation tailored to local regulatory requirements. We coordinate with local authorities, partners, or civil engineers as needed so your project clears permitting checkpoints efficiently.
Whether we build with our own experienced crew or coordinate with trusted partners, we ensure onsite execution matches the digital model — including construction guidance for machines and crews, sequencing for earthworks and feature shaping, and real‑time validation against design targets.
After construction, we deliver as‑built documentation, safety assessment reports, and maintenance planning guidance. These deliverables help reduce liability, organize future work, and support operations long after opening.
Watch how we transform terrain data into rideable reality
Lab2Dirt Build Process — from terrain data to finished trail (1:44)
Inside Lab2Dirt: Data‑Driven Trail Design
Designing MTB Trails with Digital Terrain Models
Trail Design to Trail Reality
Simulation vs. Reality
Every feature at Ferjanka follows this exact 6-step process. The result? A proven, profitable, repeatable blueprint for building bike parks that riders love.
You're not just hiring consultants. You're partnering with a team that builds. Ferjanka is living proof that our methodology delivers:
Let’s talk through your goals — budget, timeline, rider mix, and risk — and map the process to measurable financial outcomes.
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