Solutions/Railways

Railway corridor design and optimization

Design efficient railway corridors with automated gradient analysis and curve optimization.

L.IN.E.A explores rail alignments against gradient, curve, and corridor KPIs before detailed design locks in.

Built for rail corridor planning

Infraspace helps rail teams compare alternative corridors quickly with geometry-aware analysis and practical KPI feedback.

Gradient and profile optimization

Explore railway alignment alternatives that respect gradient requirements while balancing earthworks and constructability.

Curve and geometry checks

Test curve radii and geometric constraints early so teams can compare feasible alternatives before detailed design.

Corridor screening with KPIs

Quantify land use, cut/fill balance, and other decision metrics for each corridor option in the same workflow.

Railway planning FAQ

How Infraspace supports early-stage railway corridor studies and optioneering.

Which infrastructure types can Infraspace support?

Infraspace can support roads, railways, networks of access roads, power transmission lines and industrial site location studies.

The platform is strongest when several alternatives must be considered and terrain, land take, earthworks, or environmental impact matter.

  • Roads and highways
  • Railways
  • Power transmission lines
  • Pipelines
  • Wind farm access roads
  • Industrial site location studies
What is corridor optimization?

Corridor optimization is the process of finding the most suitable route or corridor for infrastructure such as roads, railways, pipelines, or power lines.

It considers terrain, geometry, environmental constraints, land use, cost, CO2, and constructability.

What is generative design in infrastructure planning?

Generative design is a method where algorithms automatically generate infrastructure alternatives based on defined objectives and constraints.

In infrastructure planning, this can include geometric rules, terrain, environmental restrictions, cost targets, land-use requirements, and CO2 objectives.

What is AI-assisted infrastructure optioneering?

AI-assisted optioneering is the process of using AI and geospatial analysis to generate, evaluate, and compare many infrastructure alternatives.

It allows planners to move beyond a few manually created concepts and explore a wider solution space earlier in the project.

How does Infraspace compare to Autodesk InfraWorks and Trimble Quantm?

All three support early infrastructure planning, but with different emphasis. Autodesk InfraWorks is a desktop tool for conceptual design and visualization in rich 3D context models. Trimble Quantm is desktop alignment-planning software focused on routing of road and rail corridors. Infraspace is a cloud-based platform with AI-assisted generative design that rapidly generates, optimizes and compares alternatives with KPIs and 3D visualizations — based on construction cost, earthworks, land use, and environmental impact for different infrastructure types.

Infraspace differentiates itself in three key ways:

  • Unique AI technologyThe L.IN.E.A engine explores thousands of corridor alternatives against terrain, constraints, and project objectives in minutes—making you confident in moving forward with your choices.
  • Accessible web-based platformProject data, 3D models, and KPI dashboards live in the browser so planners, engineers, and stakeholders can collaborate without everyone using specialist desktop software.
  • Multi-objective optimizationCreate and optimize alternatives based on multiple objectives—such as minimizing construction cost and CO₂, reducing earthworks and mass imbalance, and lowering environmental impact at the same time.
What KPIs can Infraspace calculate?

Infraspace can calculate KPIs such as construction cost, CO2, earthworks volumes, mass balance, area usage, land take, viewshed, environmental metrics, affected buildings, biodiversity considerations, and required structures such as bridges and tunnels.

Is Infraspace for detailed design?

Infraspace is primarily intended for early-stage planning, feasibility analysis, corridor studies, concept development, and optioneering.

It is not positioned as a replacement for detailed engineering design tools used later in the project lifecycle, Autodesk Civil 3D or Trimble Quadri, but rather designed to integrate with these tools and provide a more efficient workflows.

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Faster alignment decisions

Build and compare rail alternatives with geometry-aware analysis so engineering teams can move from manual corridor iteration to data-supported optioneering.

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