Intelligent Transportation System for Modern Cities

Cities operate in constant change — construction, incidents, transit priority, curb management, seasonal demand. Traditional one-off traffic studies cannot keep up. GeoMate delivers micro- and meso-scale traffic simulation and predictive insights — built on a lane-level digital twin foundation.

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Customer Challenges
Why Traditional Traffic Models Fall Short

Cities need continuous, scenario-based traffic intelligence — not isolated reports.

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Static and one-time

Traffic studies are produced as one-off reports and quickly become outdated as city conditions evolve.

Based on assumptions instead of real data

Models rely on simplified assumptions rather than real-world traffic behavior and observations.

Difficult to update when conditions change

Updating models after construction, policy changes, or incidents requires time-consuming manual work.

Limited to single intersections or corridors

Analysis often focuses on isolated locations instead of understanding citywide traffic dynamics.

At the core of GeoMate’s ITS solution is RealSimE
RealSimE: The Lane-Level Digital Road Twin

RealSimE transforms road data and imagery into a lane-accurate, simulation-ready digital representation of city streets.

Lane-level geometry and topology

Intersection and corridor connectivity

A reusable spatial source of truth

Compatible with simulation and operational workflows

RealSimE transforms road data and imagery into a lane-accurate, simulation-ready digital representation of city streets.

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Our Advanced Mapping Workflow
Multi-Source Traffic Data + Scenarios

This transforms real-world signals into testable, measurable scenarios.

On top of the digital twin, cities can integrate

- Mobile / probe travel time data

- Sensors, counts, and historical traffic patterns

- Incidents, construction, and planned events

- Camera detections and turning movements

Cities can then define scenarios

- Lane closures and detours

- Demand shifts

- Time and location-based operational changes

- Transit priority and curb policies

Our Advanced Mapping Workflow
Insights That Support Decisions

From simulation to actionable outputs, cities receive

- Travel time and reliability metrics

- Bottleneck and hotspot identification

- Queueing and spillback risk indicators

- Scenario-based CO₂ and emissions estimates

- Before/after comparisons

Used for

- Construction and detour impact assessment

- Vision Zero and road safety analysis

- Transit priority and corridor optimization

- Climate and sustainability reporting

- Evaluating trade-offs between mobility, safety, and emissions

More Asked Questions

Frequently Asked Questions

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What deployment advantages do compact HD maps offer over traditional mapping approaches?
How does GeoMate support OTA map updates for AD/ADAS?
What makes GeoMate's HD maps especially valuable for Level 2-3 autonomous systems?
Do GeoMate maps include traffic flow intelligence and historical patterns?
How does GeoMate ensure consistent map quality across different geographic regions?

Get Started With GeoMate Today!

Take the first step toward cutting-edge mapping solutions for your autonomous systems, smart city planning, or simulation workflows.

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