Roads and Highways

AI optimizes road alignments by combining terrain models, GIS data, geometric constraints, cost assumptions, and environmental criteria.

The system generates, optimizes and compares alternatives to identify alignments that can reduce cost, improve mass balance, reduce land take, or lower environmental impact.

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.

Mass balance optimization aims to reduce the surplus or deficit of excavated materials by improving the relationship between cut and fill.

Better mass balance can reduce transport, disposal, imported materials, cost, and CO2 emissions.

Yes. Teams can upload existing alignments from conventional design tools and analyze them using the same KPI framework as AI-generated proposals.

This makes it possible to compare traditional designs and AI-generated alternatives on a shared data foundation.

Autodesk Civil 3D is primarily used to manually design and document detailed road and site models. Infraspace focuses on early-stage alternative generation, automated KPI analysis, and rapid comparison of many corridor options before detailed design begins.

Teams often use Infraspace for optioneering and decision support, then export alignments and context to Civil 3D or other tools for detailed engineering.

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 technology — The 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 platform — Project 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 optimization — Create 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.

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.