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AIMOS

AIMOS nutzt künstliche Intelligenz zur datenbasierten Analyse von Mobilitäts- und Nutzungsdaten, um On-Demand-Verkehre in ländlichen Regionen effizienter zu planen. Das System unterstützt Kommunen dabei, Nachfragepotenziale zu erkennen, Verkehrsangebote zu optimieren und nachhaltige Mobilitätslösungen für eine bessere regionale Anbindung zu entwickeln.

Source checked 01 Sept 2026, 09:27Original MaKI source ↗Data schema ki-verwaltungsradar.internal.v1
MaKI identifierNW20261947880AuthorityGelsenkirchener Kommunale Datenzentrale Emscher-LippeStatusDevelopmentOpen original profile ↗
Evidence-backed dossier

AIMOS

AIMOS nutzt künstliche Intelligenz zur datenbasierten Analyse von Mobilitäts- und Nutzungsdaten, um On-Demand-Verkehre in ländlichen Regionen effizienter zu planen. Das System unterstützt Kommunen dabei, Nachfragepotenziale zu erkennen, Verkehrsangebote zu optimieren und nachhaltige Mobilitätslösungen für eine bessere regionale Anbindung zu entwickeln.

Development
Open original profile ↗
Authority
Gelsenkirchener Kommunale Datenzentrale Emscher-Lippe
Administrative level
MunicipalNordrhein-Westfalen
Ministry
Not published
Risk classification
Minimal riskSelf-reported in the MaKI profile, not an i6eal assessment
AI method
Statistische Modellierung
Application area
Mobilität
Governance matrix

Published, planned or open

The matrix separates published information, planned reviews, non-required information and unknown fields. It deliberately has no composite score.

Risk classificationMinimales Risiko
Fundamental-rights reviewWurde nicht betrachtet
Data-protection statementNein
Contractor useExtern
Intervention optionsEinbindung von Experten und Fachkräften in die Entscheidungsprozesse
Project linkNot published
Published context

Affected groups and risk measures

Affected groups
Mitarbeitende der Behörde/ des Ressorts
Risk measures
Nicht erforderlich
Described harm risks
Nicht erforderlich
Timeline

Project and publication dates

These dates come from the current MaKI profile. They are not i6eal observation history.

  1. Project start
  2. First published
  3. Last published
MaKI identifierNW20261947880
Evidence basispublished authority profile
Source state07 May 2026, 10:51
Observed by i6eal

Observation history

This profile has been observed since 19 Jul 2026. Source-reported project and publication dates remain separate.

First observed
Last observed

No earlier complete source state is available for comparison yet. Observation for this profile begins on 19 Jul 2026.

Related tools

Useful next steps

These tools complement the current result.

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IndexAI Procurement & Supplier IndexWhich AI contracts does the public sector award, who wins, and which technology dependencies are explicitly disclosed? Procurement updates daily from TED and oeffentlichevergabe.de; suppliers use exact source IDs only.Provenance checkPublic-sector AI system passportSee which public records can be linked to each published government AI system through stable identifiers or exact source-declared repository URLs—with a source for every edge and visible evidence boundaries.Data reportGerman state AI evidence monitorCompare three separate public evidence lanes across all 16 German states: exactly assigned AI system profiles, AI-related procurement and physical infrastructure—without a composite score or invented ranking.