03Alenquer Municipality · Challenge 2

Pilot · Technology validation

NEXTOP Spatial Parking

An experimental spatial perception approach that observes parking segments as continuous space — without relying on one sensor per bay.

Explore proposal
Core message
Measure the space actually occupied, not just painted bays.
High-angle view of on-street parking with a sensor on a lamp post
Illustrative image · elevated sensing point over a parking segment
The challenge in context
01

Real use differs

Cars may straddle two bays or park very close together.

02

Per-bay sensors add up

One device per space means many devices to install and maintain.

03

Decisions need data

Occupancy, dwell time and turnover inform parking policy.

01

The street is not a perfect grid

Parking demand, urban pressure and low turnover call for up-to-date data. In practice, vehicles may partially occupy two bays or park very close together.

02

Perception by segment

Elevated sensing points observe parking stretches and build a dynamic map of the kerbside space actually occupied and available.

03

Parked or passing through?

The system separates the parking zone from the carriageway and uses spatial and temporal behaviour to distinguish traffic from vehicles that enter, stop, stay and leave.

04

Continuous occupancy

Rather than relying only on painted bays, the solution measures how space is really used over time and prepares future integration with parking meters.

How it works

How it works, step by step.

  1. 1

    Elevated sensing

    A sensing point on existing street furniture observes a whole segment.

  2. 2

    Define the zone

    The parking strip is separated from the traffic lane.

  3. 3

    Track the behaviour

    Vehicles that stop and stay are distinguished from passing traffic.

  4. 4

    Publish occupancy

    Free space, dwell time and turnover are shown by segment.

System architecture

From the street to the dashboard.

L1

Spatial sensing

Elevated sensors covering full segments.

L2

Edge processing

Local analysis; no images need to leave the device.

L3

Platform

Occupancy, dwell and turnover by segment over time.

L4

Dashboard

Maps and indicators for municipal teams.

Who benefits

Value for every stakeholder.

Municipality

Evidence for parking policy and urban planning.

Enforcement & operations

Clear view of pressure points and turnover.

Residents & visitors

Future potential for guidance to available space.

Operational value

From physical perception to decisions.

01

Up-to-date occupancy by segment

02

Dwell time and turnover

03

Insight into real use of space

04

Potentially fewer devices than one sensor per bay

05

Future integration with parking meters

PILOT
Validation in a real context

A technology hypothesis to validate.

This proposal is presented as a pilot. Final capability and configuration will be determined by field tests — not as proven accuracy.

Separate vehicles parked very close
Exclude passing traffic
Measure real coverage
Determine sensors per segment
Proposed pilot plan

Indicative timeline, to be agreed with the partner.

01 · Proposed · weeks 1–3

Site selection

Choose representative segments and mounting points.

02 · Proposed · weeks 4–5

Installation

Install elevated sensing points and configure zones.

03 · Proposed · weeks 6–13

Observation

Collect occupancy data and compare with manual checks.

04 · Proposed · weeks 14–16

Evaluation

Report on coverage, reliability and sensors per segment.

What we need from the partner

  • Permission to use street furniture
  • Power access at mounting points
  • Selected pilot segments
  • Reference observations for validation

Frequently asked questions

Proposal 3 / 3 ·