INTELLIGENCE FOR URBAN TRAFFIC NETWORKS

Understand the citybefore changing it.

Discover better ways to move.

SIPD-M observes traffic, recreates urban environments and evaluates how coordinated decisions could improve the way a city moves.

City-ready validation · no changes to live traffic
Concept image of a European intersection connected to surrounding streets.
OBSERVE · SIMULATE · EVALUATEFrom one intersection to an entire network.
Concept visual; not a live deployment.

NATIONAL MOBILITY STUDY

How much time do we lose waiting at red lights?

We are studying the real impact of potentially avoidable traffic-light waiting on citizens and professional road users. Help us measure it.

It takes approximately less than a minute.

Take part in the study →

THE NETWORK PERSPECTIVE

Traffic problems rarely stopat one junction.

When one intersection releases more traffic, the next one has to receive it. A local improvement can simply move congestion further down the road.

01

One junction at a time

CONGESTION CAN MOVE DOWN THE ROAD

The queue can reach the previous junction and affect the corridor.

Conceptual diagram · not measured results

02

The network in view

STUDY WHAT HAPPENS NEXT

Compare their effects before considering changes on the street.

Conceptual diagram · not measured results

Better decisions begin with understanding the whole network.

HOW SIPD-M WORKS

Observe. Simulate.Discover better ways to move.

SIPD-M connects what is happening on the street with what could work better across the network.

  1. 01

    Observe

    Start with available traffic, signal and network data.

  2. 02

    Recreate

    Build a representative simulation of the urban environment.

  3. 03

    Explore

    Evaluate opportunities and compare possible improvements.

  4. 04

    Understand

    See what could benefit the wider network before considering intervention.

Understanding first. Evidence next.

TRAFFIC OPTIMISATION

More than green time.A better view of the network.

SIPD-M studies how traffic moves between intersections, where queues grow and where capacity remains available.

Demand

Identify where mobility demand is concentrated.

Capacity

Study whether the next section can receive more traffic.

Timing

The same opportunity can be useful now and useless moments later.

Uncertainty

Recognise when the data cannot support a confident assessment of an opportunity.

Multimodality

A city is more than cars.

Safety

Any improvement must remain compatible with safe operation.

FROM INTERSECTION TO NETWORK

Every junction is partof a network.

SIPD-M starts at one intersection and broadens the analysis to its connections, corridors and zones. Each scale adds context for understanding the whole.

CITY-READY VALIDATION

Explore your network’s potential.Without changing live traffic.

The first pilot starts with a defined urban environment and available data. We recreate its conditions, simulate alternatives and evaluate possible improvements so the city can consider its next step with evidence.

Discuss a city pilot →
DEFINE THE STUDY AREAConcept model

An area grouping related junctions. The scope is agreed with each city.

  1. 01Available data
  2. 02Simulation
  3. 03Evidence

Observation and simulation. No intervention in live traffic.

TYPICAL INITIAL SCOPE · ADAPTED TO EACH CITY

3–5intersections or a short corridor
30–60days, approximately
Nochanges to live traffic
  1. 01

    Define

    Agree the area, objectives and available data.

  2. 02

    Recreate

    Represent demand and current operation.

  3. 03

    Simulate

    Explore alternatives in a controlled environment.

  4. 04

    Compare

    Evaluate their effects across the study area.

  5. 05

    Review

    Discuss the evidence, its limits and possible next steps.

How live operation is protected

During this first phase, SIPD-M observes, simulates and evaluates possible improvements. It does not modify traffic-light rules or act on live traffic.

SHADOW_ONLYNO_REAL_WORLD_CONTROL

WHAT BETTER MEANS

A better journey.Not just a better number.

  • 01

    Smoother movement

  • 02

    Less waiting

  • 03

    Queues that stay contained

  • 04

    More ways to move

  • 05

    Safe operation

  • 06

    Confidence in the evidence

A useful improvement should work for the network as a whole.

AMBULANCES & EMERGENCY SERVICES

Less delay when it matters most.

How much time could an ambulance gain if avoidable waits along its route were reduced? SIPD-M proposes exploring this opportunity through observation and simulation, studying connected junctions and their safety conditions.

Explore an emergency use case
POTENTIAL APPLICATION

Emergency route · conceptual diagram

Time that could help save lives.

The ambition is to help assistance arrive sooner. Evaluating how much time could be recovered is the first step; demonstrating a benefit for people requires specific validation.

  1. 01

    Observe the route

    Identify where delays occur and which conditions explain them.

  2. 02

    Simulate opportunities

    Compare alternatives and their effects on the journey and other road users.

  3. 03

    Assess the potential

    Estimate recoverable time and journey consistency, alongside limitations and risks.

Proposed application, pending validation. No time savings or clinical outcomes have been demonstrated. The current pilot does not change signals or activate priority in live traffic.

SIPD-M LAB NETWORK

One city teaches us one reality.A network of cities teaches us more.

Every city is different. Street geometry, traffic demand, public transport and the way congestion spreads all change. SIPD-M LABs are the environments where the technology learns from those differences.

A library of urban realities.

We are moving from a single-city simulation environment toward a connected set of city simulations. Each new environment helps us compare what carries across cities — and where local context matters.

Talk to us about a new environment →
Illustrative map of Europe: future direction for simulation environments.
Madrid LABSimulation environment
Current environmentFuture connections · concept

Development direction · future stages are objectives

  1. One city
  2. Multiple city LABs
  3. Comparative urban learning
  4. International network
  5. Global network
CURRENT ENVIRONMENT

Madrid LAB

The simulation environment where SIPD-M develops and tests its network perspective under controlled conditions.

Madrid LAB is a technical simulation environment. It does not imply participation by Madrid City Council.

What each status means
LAB
Active technical environment
In development
New environment being prepared
Engagement
City dialogue underway; no active LAB implied
Target network
Future strategic expansion; no participation confirmed

Current environments and future objectives are shown separately. Target cities are not active participants.

OUR DIRECTION

Every new LAB addsa new mobility reality.

  1. 2026

    Build the foundation

    Simulation and technical validation.

  2. 2026–2027

    Learn with cities

    Real data and representative urban environments.

  3. 2027–2028

    Connect diverse urban realities

    More diverse conditions and network structures.

  4. Long term

    Broaden the perspective

    Progressive international network intelligence.

Development objectives, not confirmed deployments or city participation.

WHERE WE ARE TODAY

From advanced simulationtoward city-based validation.

Technology
Expanding from one simulated environment toward a growing network of city simulations.
Cities
A city-ready model for exploring improvements without modifying live traffic.
Industrial property
Spanish patent application OEPM P202630825. Filed 09/06/2026.
Innovation ecosystem
Supported through the StartTIC / Zona Franca de Vigo innovation ecosystem.

A disciplined foundation. A clear next step.

SCT MOBILITY SYSTEMS

Building the companybehind a wider vision.

SIPD-M is the technological foundation of SCT Mobility Systems, a mobility company being built around network intelligence, city validation and progressive growth.

TECHNOLOGYVALIDATIONPRODUCTMARKETNETWORK SCALE

INVESTMENT & GROWTH

Building the next stageof SIPD-M.

Technical development, city validation and company growth are beginning to converge. New capital can accelerate engineering, validation, integration, international protection and market development.

Why now?

Technology foundation established

City-ready validation model available

Growing LAB strategy

International expansion in preparation

Company being structured for scale

  • Engineering
  • Validation
  • Integration
  • International IP
  • Market development

Investment opportunities and associated terms are discussed privately with qualified interested parties.

SIPD-M JOURNAL

Ideas behindbetter-connected cities.

Company updates and ideas behind city validation, network intelligence and the next stage of SIPD-M.

Explore the Journal →

A better next step, together.

For cities

Understand your network.

Explore a pilot using your existing environment and available mobility data.

Explore City Validation →
For technology partners

Bring ideas together.

Talk about sensing, infrastructure, integration or research.

Partner with SIPD-M →
For investors

Help shape what comes next.

Explore the next stage of product, validation and international growth.

Investor enquiries →

LET’S START WITH YOUR CITY

Understand the opportunity.Then decide what comes next.

Vigo · Spain · City Validation Initiative

A short conversation can help identify a suitable corridor, available data and the right starting point for your city.

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