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9 Wege, wie KI-Erkennung die Flottenindustrie verändert

Erstellt: 03.11.2025

Aktualisiert: 04.11.2025

Künstliche Intelligenz (KI) hat die Herangehensweise von Fuhrparkexperten an den täglichen Betrieb neu definiert. Moderne Technologien ermöglichen es Managern, Wartung, Sicherheit und Compliance ihrer Fahrzeuge messbar zu verbessern. Angesichts des zunehmenden Drucks durch die Gesetzgebung werden KI-gestützte Erkenntnisse immer wichtiger, um einen entscheidenden Vorteil zu erlangen. Hier sind neun Möglichkeiten, wie KI-Erkennung die Fuhrparkbranche verändert.

1. Überwachung des Fahrerverhaltens

Fortschrittliche Telematik und Algorithmen des maschinellen Lernens (ML) helfen bei der Erkennung von KI in Fuhrparks, indem sie das Fahrerverhalten überwachen. Diese Geräte analysieren Echtzeitmuster und zeigen riskantes Fahrverhalten wie Geschwindigkeitsüberschreitungen und starkes Bremsen an. ML-Modelle verarbeiten sofort Daten von fahrzeuginternen Sensoren und erkennen Abweichungen von sicheren Fahrnormen und Unternehmensrichtlinien.

Die Fahrer erhalten sofortiges Feedback im Fahrzeug, während die Flottenmanager detaillierte Berichte über Trends erhalten. Die Fülle an Informationen hilft den Vorgesetzten, Coaching-Sitzungen zu personalisieren und spezifische Verbesserungsbereiche zu finden. Telematiklösungen sind für Fuhrparks landesweit von entscheidender Bedeutung, weil sie durch verbessertes Verhalten und Schulungsprogramme Unfälle und Verletzungen reduzieren (https://www.crowncommercial.gov.uk/agreements/RM6315).

2. Optimierung der Routen

KI-Algorithmen sind für die Analyse von Echtzeit-Verkehrsdaten, wie Straßensperrungen und Wetterbedingungen, unerlässlich. Staus können erheblich sein, insbesondere wenn Ihre Routen durch London führen. Ein Inrix-Bericht aus dem Jahr 2024 besagt, dass Autofahrer [101 Stunden Verspätung] (https://inrix.com/scorecard/) auf ihren Fahrten durch die Hauptstadt erlebten. ML-Modelle können Engpässe und schlechtes Wetter schnell erkennen, um kritische Lieferzeiten einzuhalten.

Flottenmanager profitieren, weil ihre Fahrer die Pünktlichkeit verbessern können. Durch die Optimierung der Routen ist es wahrscheinlicher, dass die Lieferungen innerhalb der geplanten Zeitfenster ankommen. Sie verbessert auch das Verhalten der Fahrer, indem sie weniger Leerlauf haben und weniger Kilometer zurücklegen. Moderne KI-Technologien erkennen schnell Straßensperrungen und unerwartete Wetteränderungen, um Störungen zu minimieren.

3. Automatisierung der Compliance-Berichterstattung

Die Berichterstattung über Unfälle umfasste früher manuelle Protokolle und Dokumentationen. KI kann jedoch den Arbeitsaufwand verringern, indem sie Vorfälle automatisch erkennt und meldet. Von Kollisionen bis zu Beinaheunfällen können diese Technologien potenzielle Vorfälle erkennen. Sensoren sammeln relevante Informationen zum Zeitpunkt des Ereignisses, um mehr Kontext zu liefern. Ungewöhnliche Umstände wie die Auslösung eines Airbags können ebenfalls in die automatische Berichterstattung einbezogen werden.

Sobald die KI-Erkennung abgeschlossen ist, stellt das System die Informationen in einem standardisierten Bericht zusammen. Manuelle Protokolle können zeitaufwändige Aufgaben verursachen, so dass KI diese Prozesse automatisieren und Personal freisetzen kann. Flottenmanager und Versicherer erhalten den Bericht und können so die Einhaltung der Vorschriften und eine genaue Kommunikation sicherstellen. Fortschrittliche Technologien erfassen relevante Daten und verwenden eine einheitliche Formatierung, so dass alle Beteiligten die entscheidenden Details erhalten.

4. Verbesserung der vorausschauenden Wartung

Unerwartete Fahrzeugausfälle können den Zeitplan durcheinander bringen und die Auslieferung verzögern. KI hilft Fuhrparkmanagern, diese Probleme zu erkennen, bevor sie zu großen Problemen werden. Von der Motortemperatur bis zum Öldruck werden alle Merkmale in Echtzeit überwacht. Hochentwickelte Algorithmen erkennen subtile Anomalien und warnen den Fahrer, wenn eine Komponente kurz vor dem Ausfall steht.

Feste Wartungsintervalle können zwar vorteilhaft sein, aber mit KI können Sie proaktiver vorgehen und die Wartung genau planen. Reifendrucksensoren sind ein hervorragendes Beispiel, insbesondere für Bau- und Versorgungsunternehmen. Experten sagen, dass Luftkompressoren 25 % mehr CFM liefern sollten, als die Geräte benötigen, um die besten Praktiken aufrechtzuerhalten. Diese Sensoren überwachen kontinuierlich die Leistung und erkennen einen allmählichen Leistungsabfall, was ein frühes Anzeichen für Lecks ist.

5. Analyse des Kraftstoffverbrauchs

Die KI-Erkennung in Flotten geht über die Untersuchung des Fahrerverhaltens hinaus. Telematik und Sensoren analysieren Geschwindigkeits- und Beschleunigungsmuster, um den Kraftstoffverbrauch besser zu verstehen. Die Systeme überwachen Ihre Fahrzeuge auf übermäßigen Leerlauf und ineffiziente Streckenführung, die den Benzin- oder Dieselverbrauch erhöht. Die KI kann den Fahrern maßgeschneiderte Empfehlungen geben, indem sie optimierte Geschwindigkeitsbereiche oder Wartungsanforderungen vorschlägt.

Flottenmanager profitieren davon, dass sie aggregierte Daten über den Kraftstoffverbrauch und die Ausgaben erhalten. Diese Informationen helfen ihnen, fundiertere Entscheidungen bei der Fahrzeugbeschaffung und Routenplanung zu treffen. Wenn ältere Fahrzeuge ineffizient sind, könnte es an der Zeit sein, den Fuhrpark aufzurüsten. Logistikexperten sollten einzelne Fahrzeuge mit Branchenstandards vergleichen, um Ausreißer zu erkennen.

6. Verringerung der Emissionen

Zu den Umweltzielen Großbritanniens [gehört das Erreichen von Netto-Null-Emissionen] (https://commonslibrary.parliament.uk/research-briefings/cbp-9888/) bis 2050. Daher müssen sich Flottenmanager der strengeren Normen und des Risikos von Bußgeldern stärker bewusst sein. Die KI-Erkennung hilft Fahrzeugen durch Sensoren und Onboard-Diagnosesysteme, die während des Betriebs Daten sammeln. ML-Algorithmen erkennen Muster und Anomalien in den Daten und melden übermäßige Emissionen.

KI kann Flottenmanager warnen und eine proaktive Wartung ermöglichen, wenn ein Fahrzeug Emissionsgrenzwerte überschreitet. Während der Mensch Maßnahmen zur Reduzierung von Treibhausgasen ergreift, wird die KI-Erkennung immer wichtiger für die Transportindustrie. Eine Studie aus dem Jahr 2025 besagt, dass [Deep Reinforcement Learning die Emissionsreduzierung maximiert] (https://news.mit.edu/2025/eco-driving-measures-could-significantly-reduce-vehicle-emissions-0807), indem es die Fähigkeiten des umweltfreundlichen Fahrens anpasst. Die US-Forscher erklärten, dass die Implementierung dieser Technologie in 10 % der Fahrzeuge die Kohlenstoffemissionen um bis zu 50 % reduzieren würde.

7. Umstellung auf Elektrofahrzeuge

Eine weitere Möglichkeit für Flottenmanager, Emissionen zu reduzieren, ist die Umrüstung auf Elektrofahrzeuge. Der Besitz von Elektrofahrzeugen nimmt landesweit zu, sowohl bei Privatfahrern als auch bei Flottenbesitzern. Ein Bericht aus dem Jahr 2025 [zeigt einen Anstieg von 38,9 % im Vergleich zum Vorjahr] (https://www.smmt.co.uk/more-than-a-million-evs-on-uk-roads-as-vehicle-ownership-reaches-new-high/) ab 2023. KI kann Logistikexperten bei der Umstellung unterstützen, indem sie ihnen empfiehlt, wann, wo und wie sie ihre Flotten elektrifizieren sollten.

Wer zum ersten Mal ein Elektroauto fährt, braucht möglicherweise Hilfe bei der Wahl der Ladefenster und der benötigten Infrastruktur. KI-gestützte Systeme erkennen, wann und wo Elektroautos auf natürliche Weise mit den Ladezeiten in Einklang gebracht werden können. So könnten sie beispielsweise die besten Ladezeiten empfehlen, um Störungen im Fahrplan zu vermeiden. Einige denken vielleicht über den Umstieg auf Elektroautos nach, so dass Logistikmanager KI nutzen können, um Kostendaten zwischen Elektro- und Benzinfahrzeugen zu vergleichen.

8. Die Kosten senken

Die Investition in KI kann zwar eine Hürde darstellen, sich aber auf lange Sicht finanziell auszahlen. Diese Softwareoptionen[ senken die Kosten, indem sie die Ausfallzeiten minimieren] (https://renovated.com/construction-fleet-management-software/), die den täglichen Betrieb verlangsamen. Die frühzeitige Erkennung von Problemen kann zu einer besser gewarteten Flotte führen, was wiederum die Betriebszeit und den Umsatz erhöht. Flottenmanager können außerdem durch eine verbesserte Routenoptimierung und Kraftstoffverwaltung Geld sparen.

Die KI-Erkennung in Flotten ist für die Rationalisierung von Verwaltungsabläufen unerlässlich. Diese Technologien können automatisch Compliance-Prüfungen und die Dokumentation von Vorfällen durchführen und so den Bedarf an manueller Schreibarbeit verringern. Ihre Mitarbeiter können sich mehr auf das große Ganze und weniger auf den Verwaltungsaufwand konzentrieren. Wenn die Überwachung Ihren Fahrern hilft, könnte sie die Kosten für Fahrzeugreparaturen und Rechtsansprüche senken.

9. Verfolgung von Vermögenswerten

Fahrzeug- und Frachtdiebstähle [sind in Großbritannien] (https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/datasets/crimeinenglandandwalesappendixtables). stetig zurückgegangen, obwohl sie nach wie vor ein großes Problem darstellen. Die KI-Erkennung bietet zusätzliche Sicherheitsebenen, indem sie das Zeitfenster für Diebe verkleinert. Funktionen zur Verfolgung von Vermögenswerten kombinieren GPS- und Telematikfunktionen, um den Standort in Echtzeit zu überwachen, was für Unternehmen, die hochwertige Güter transportieren, unerlässlich ist.

Fuhrparkmanager profitieren von Geofencing-Funktionen, mit denen sie virtuelle Grenzen festlegen können. Wenn ein Lkw oder Transporter diese Zonen verlässt, markieren KI-gesteuerte Systeme automatisch das Ereignis und benachrichtigen die Logistiker. Der Algorithmus ist intelligent genug, um Anomalien und Sicherheitsprotokolle zu erkennen. Anomalien können Sicherheitsmaßnahmen wie die Fernsperrung auslösen.

Nutzung von KI-Erkennung für Kosten und Compliance

Künstliche Intelligenz ist ein praktisches Werkzeug für Flottenmanager, das das Spiel verändert. Mit fortschrittlichen Analysen und Echtzeitüberwachung können Logistikexperten die Sicherheit und Leistung messbar verbessern. Die Technologien entwickeln sich zwar weiter, aber die Zukunft ist schon da. Ihr Unternehmen sollte bereit sein, in KI-gesteuerte Lösungen zu investieren, um Kosten zu senken und Risiken zu minimieren.

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Mittwoch 10 Dezember 2025 • Industrie-Nachrichten

DER BRITISCHE HAUSHALT 2025: WAS ER FÜR DAS TRANSPORTGEWERBE BEDEUTET

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The arrives at a difficult moment for the road transport sector. Operators are working against rising wages and operating costs, tight margins, ageing infrastructure and ongoing pressures around recruitment. At the same time, the shift towards cleaner mobility is accelerating, creating new expectations and increasing the need for long-term investment.The following article outlines what the Budget means for infrastructure, investment, workforce costs and the wider operating environment for haulage.For many years, fleets have been affected by deteriorating roads, weight restrictions on ageing bridges and the growing unpredictability of journey times. Government and industry data makes this clear. More than one in every ten miles of network in England and Wales is likely to require maintenance within the next year, according to reporting, and the backlogs for resurfacing work continue to rise. 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Donnerstag 28 August 2025 • Industrie-Nachrichten

WERDEN FLOTTEN AUF DIE INTEGRATION AUTONOMER FAHRZEUGE UMGESTELLT?

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The buzz around self-driving cars isn’t as loud as it used to be, but it remains a constant noise in fleet managers’ ears. The United Kingdom government has moved autonomous vehicle integration pilot plans to 2026, renewing interest in the technology. Will decision-makers ignore the noise or embrace early adoption?Autonomous vehicle integration involves embedding self-driving technologies like artificial intelligence, light detection and ranging (LiDAR), and high-definition cameras into commercial fleets. On a broader scale, it entails introducing self-driving cars into existing public transportation systems.Driver assistance systems include collision avoidance, automatic speed adjustment, lane-centring, adaptive cruise control and intelligent ride-hailing. 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Donnerstag 31 Juli 2025 • Industrie-Nachrichten

WIE SICH DIE HITZEWELLE IN EUROPA AUF DIE MOBILITÄT AUSWIRKT: WIE MAN VORAUSSCHAUEND HANDELT

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Europe’s roads are baking – and the heat is only rising. Across the continent, July 2025 delivered record-breaking temperatures, infrastructure failures and transport disruption on an unprecedented scale. For fleet operators and professional drivers, the challenge is no longer theoretical. Extreme heat is here and it’s reshaping the mobility landscape in real time.Much has been written about the health impacts and climate signals of this year’s heatwave. But far less attention has been paid to how it’s affecting logistics, freight networks and the people who keep goods moving across borders. This article explores how heatwaves are disrupting Europe’s road transport sector – from melting tarmac and cracked motorways to wildfires, driver safety concerns and delivery delays – and offers practical advice to help fleets stay operational, resilient and one step ahead.According to the , Europe regularly experiences extreme heat, with temperatures well above seasonal norms. 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And in many areas, emergency services are stretched, meaning delays in clearing affected roads or managing diversions.The risks to infrastructure are accompanied by risks to people. Professional drivers are particularly vulnerable to heat stress, dehydration and fatigue. SNAP’s for drivers outlines the dangers of overheating cabs, the strain of long hours in high temperatures, and the importance of cooling systems and rest.Many roadside facilities in southern and eastern Europe remain poorly equipped to support driver wellbeing during heatwaves. Air-conditioned rest stops, shaded parking and reliable water access are not guaranteed – making SNAP’s more important than ever.“This summer’s heatwave is a wake-up call,” says Raquel Martinez, European Sales Manager at SNAP. “Europe’s transport systems were designed for a cooler climate. But we’re not going back. Fleets that adapt now – with the right tools, the right rest strategies, and the right technology – will be the ones that thrive.”In response to the heat, several countries have introduced or extended heat-triggered truck bans. As , Bulgaria and Hungary enforced daytime HGV restrictions when temperatures soared in July 2025. Restrictions also applied to heavy vehicles on certain vulnerable roads during specified periods. In addition, national holiday-related truck bans in Germany, France, Poland and Italy are compounding summer congestion. Full details can be found at Trafficban.com, which lists regional and time-based restrictions across the continent.For drivers and planners, these bans create a patchwork of compliance zones and timing limitations that require careful navigation and up-to-date planning tools.With the increasing risks posed by extreme heat, insurers are starting to reassess their exposure. That’s likely to affect premiums across the board. Goods-in-transit cover is under pressure, particularly for temperature-sensitive loads, with more claims arising from spoilage and missed delivery deadlines. Vehicle insurance costs may also rise as claims for heat-related breakdowns and accidents increase. Meanwhile, there’s growing scrutiny around employers’ liability, especially if drivers or staff suffer heat-related health issues due to inadequate welfare provisions. Together, these trends could mean higher premiums and tougher renewal conversations for operators without clear resilience plans in place.At SNAP, we believe the key to navigating Europe’s heatwaves lies in preparation, planning and proactive welfare management. Use real-time weather data to help drivers avoid high-risk routes. Stock vehicles with water, shade equipment and emergency cooling kits. Stay informed of changing truck bans across borders using verified sources like Trafficban.com. Encourage drivers to use apps like to locate well-equipped, air-conditioned facilities across Europe. Pay extra attention to tyres, cooling systems and battery performance during maintenance – especially for electric or hybrid vehicles. Ensure policies account for climate-related delays, cargo spoilage and fire damage.Check out our or download the today. With thousands of trusted partners across Europe, it’s your shortcut to safer stops – whatever the temperature.