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Noticias del sector • 4 min leer

9 formas en que la detección por IA está transformando el sector de las flotas

Creado: 03/11/2025

Actualizado: 04/11/2025

La inteligencia artificial (IA) ha redefinido la forma en que los profesionales de flotas abordan las operaciones diarias. Las tecnologías modernas permiten a los gestores mejorar de forma cuantificable el mantenimiento, la seguridad y la conformidad de sus vehículos. A medida que aumenten las presiones normativas, los conocimientos basados en la IA serán más importantes para obtener una ventaja decisiva. He aquí nueve formas en que la detección por IA está transformando el sector de las flotas.

1. Control del comportamiento del conductor

La telemática avanzada y los algoritmos de aprendizaje automático (ML) ayudan a detectar la IA en las flotas supervisando el comportamiento de los conductores. Estos dispositivos analizan patrones en tiempo real y señalan comportamientos de riesgo al volante, como excesos de velocidad o frenazos bruscos. Los modelos de ML procesan instantáneamente los datos de los sensores del vehículo e identifican las desviaciones de las normas de conducción segura y las políticas de la empresa.

Los conductores reciben información inmediata en el vehículo, mientras que los gestores de flotas obtienen informes detallados sobre las tendencias. Esta abundante información ayuda a los supervisores a personalizar las sesiones de formación y a encontrar áreas específicas de mejora. Las soluciones telemáticas han sido fundamentales para las flotas de todo el país porque reducen los accidentes y las lesiones gracias a la mejora del comportamiento y los programas de formación.

2. Optimización de rutas

Los algoritmos de IA son esenciales para analizar los datos de tráfico en tiempo real, como los cierres de carreteras y las condiciones meteorológicas. La congestión puede ser importante, sobre todo si tus rutas pasan por Londres. Según un informe de Inrix de 2024, los conductores experimentaron 101 horas de retrasos al circular por la capital. Los modelos ML pueden identificar rápidamente los cuellos de botella y las condiciones meteorológicas adversas para cumplir los plazos de entrega críticos.

Los gestores de flotas se benefician porque sus conductores pueden mejorar la puntualidad. Gracias a la optimización de las rutas, es más probable que las entregas lleguen dentro de los plazos previstos. También mejora el comportamiento de los conductores, ya que paran menos y recorren menos kilómetros. Las modernas tecnologías de IA detectan rápidamente los cierres de carreteras y los cambios meteorológicos inesperados para minimizar las interrupciones.

3. Automatización de los informes de cumplimiento

Los informes de accidentes solían incluir registros y documentación manuales. Sin embargo, la IA puede reducir las necesidades de mano de obra detectando y presentando automáticamente informes de incidentes. Desde colisiones a cuasi accidentes, estas tecnologías pueden reconocer incidentes potenciales. Los sensores recopilan información relevante en el momento del suceso para proporcionar más contexto. Las circunstancias inusuales, como el despliegue del airbag, también pueden formar parte de los informes automáticos.

Una vez completada la detección con IA, el sistema recopila la información en un informe normalizado. Los registros manuales pueden generar tareas que requieren mucho tiempo, por lo que la IA puede automatizar estos procesos y liberar personal. Los gestores de flotas y las aseguradoras reciben el informe, lo que garantiza el cumplimiento y una comunicación precisa. Las tecnologías avanzadas capturan los datos relevantes y utilizan un formato coherente, de modo que todas las partes obtienen los detalles críticos.

4. Mejorar el mantenimiento predictivo

Las averías inesperadas de los vehículos pueden alterar los horarios y retrasar las entregas. La IA ayuda a los gestores de flotas a detectar estos problemas antes de que se conviertan en problemas importantes. Desde la temperatura del motor hasta la presión del aceite, las características se controlan en tiempo real. Algoritmos avanzados identifican anomalías sutiles y alertan a los operadores cuando un componente está a punto de fallar.

Aunque los intervalos de servicio fijos pueden ser beneficiosos, la IA le permite ser más proactivo y programar el mantenimiento con precisión. Los sensores de presión de neumáticos son un ejemplo excelente, sobre todo para las empresas de construcción y servicios públicos. Los expertos afirman que los compresores de aire deben suministrar un 25% más de CFM de lo que el equipo necesita para mantener las mejores prácticas. Estos sensores controlan continuamente la producción y detectan caídas graduales, señalando los primeros signos de fugas.

5. Análisis del consumo de combustible

La detección de IA en las flotas va más allá del estudio del comportamiento del conductor. La telemática y los sensores analizan los patrones de velocidad y aceleración para comprender mejor el consumo de combustible. Los sistemas controlan los vehículos para detectar el ralentí excesivo y las rutas ineficaces que aumentan el consumo de gasolina o gasóleo. La IA puede adaptar las recomendaciones a los conductores ofreciéndoles intervalos de velocidad optimizados o necesidades de mantenimiento.

Los gestores de flotas se benefician al obtener datos agregados sobre el consumo y el gasto de combustible. Esta información les ayuda a tomar decisiones más informadas sobre la adquisición de vehículos y la planificación de rutas. Si los vehículos más antiguos muestran ineficiencias, puede ser el momento de actualizar el lote. Los profesionales de la logística deben comparar los vehículos individuales con los estándares del sector para detectar valores atípicos.

6. Reducir las emisiones

Los objetivos medioambientales del Reino Unido incluyen alcanzar las emisiones netas cero para 2050. Por eso, los gestores de flotas deben ser más conscientes del endurecimiento de las normas y del riesgo de multas. La detección mediante IA ayuda a los vehículos a través de sensores y sistemas de diagnóstico a bordo, que recopilan datos durante las operaciones. Los algoritmos de ML identifican patrones y anomalías en la información y notifican las emisiones excesivas.

La IA puede alertar a los gestores de flotas y permitir un mantenimiento proactivo si un vehículo supera los umbrales de emisiones. Mientras los humanos toman medidas para reducir los gases de efecto invernadero, la detección de la IA se alza para ayudar al sector del transporte. Según un estudio de 2025, el aprendizaje profundo por refuerzo maximiza la reducción de emisiones al adaptar las capacidades de conducción ecológica. Los investigadores estadounidenses afirmaron que implantarlo en el 10% de los vehículos reduciría las emisiones de carbono hasta un 50%.

7. Transición a los vehículos eléctricos

Otra forma en que los gestores de flotas pueden reducir las emisiones es mediante la conversión a vehículos eléctricos (VE). La propiedad de VE está aumentando a nivel nacional a través de conductores particulares y propietarios de flotas, según un informe de 2025 reveló un aumento interanual del 38,9% a partir de 2023. La IA puede ayudar a los profesionales de la logística en la transición recomendándoles cuándo, dónde y cómo electrificar sus flotas.

Los nuevos propietarios de vehículos eléctricos pueden necesitar ayuda con las ventanas de recarga y las necesidades de infraestructura. Los sistemas basados en IA detectan cuándo y dónde los coches eléctricos podrían alinearse de forma natural con las ventanas de carga. Por ejemplo, podrían recomendar las mejores horas de carga para reducir las interrupciones de horarios. Puede que algunos se estén planteando pasarse al VE, por lo que los responsables de logística pueden aprovechar la IA para comparar datos de costes entre coches eléctricos y de gasolina.

8. Reducción de costes

Aunque la inversión en inteligencia artificial puede suponer un obstáculo, a la larga puede resultar económicamente beneficiosa. Estas opciones de software reducen los costes al minimizar el tiempo de inactividad que ralentiza las operaciones diarias. La detección precoz de problemas puede dar lugar a una flota mejor mantenida, lo que genera más tiempo de actividad e ingresos. Los gestores de flotas también pueden ahorrar dinero gracias a la optimización de las rutas y la gestión del combustible.

La detección de IA en las flotas es esencial para agilizar los procesos administrativos. Estas tecnologías pueden realizar automáticamente comprobaciones de cumplimiento y documentación de incidencias, reduciendo así la necesidad de papeleo manual. Sus operadores pueden centrarse más en el panorama general y menos en los gastos administrativos. Si la supervisión ayuda a sus conductores, podría reducir el coste de las reparaciones de vehículos y las reclamaciones legales.

9. Seguimiento de activos

Los robos de vehículos y mercancías han disminuido de forma constante en el Reino Unido (https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/datasets/crimeinenglandandwalesappendixtables), aunque siguen siendo motivo de preocupación. La detección por IA ofrece niveles de seguridad adicionales al reducir la ventana de oportunidad para los ladrones. Las funciones de seguimiento de activos combinan las capacidades GPS y telemáticas para controlar la ubicación en tiempo real, algo esencial para las empresas que transportan activos de gran valor.

Los gestores de flotas se benefician de las funciones de geovallado, que les permiten establecer límites virtuales. Si un camión o furgoneta se sale de estas zonas, los sistemas basados en IA lo señalan automáticamente y avisan a los profesionales de la logística. El algoritmo es lo suficientemente inteligente como para comprender las anomalías y los protocolos de seguridad. Las anomalías pueden activar medidas de seguridad como la desactivación remota.

Aprovechar la detección de IA para reducir costes y cumplir la normativa

La IA es una herramienta práctica y revolucionaria para los gestores de flotas. Los análisis avanzados y la supervisión en tiempo real permiten a los profesionales de la logística impulsar mejoras cuantificables de la seguridad y el rendimiento. Mientras las tecnologías se desarrollan, el futuro ya está aquí. Su empresa debe estar dispuesta a invertir en soluciones basadas en IA para reducir costes y minimizar riesgos.

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miércoles 10 diciembre 2025 • Noticias del sector

PRESUPUESTO DEL REINO UNIDO PARA 2025: LO QUE SIGNIFICA PARA EL TRANSPORTE

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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. These issues lead to vehicle damage, driver fatigue, higher insurance costs and disrupted schedules. They also place additional pressure on operators already dealing with narrow margins.The new Budget acknowledges these concerns. One positive step is the substantial funding for strategic national projects, including almost £900 million allocated to the , which should reduce congestion, provide more reliable journey times and a safer driving environment for HGVs.Local authorities will also receive a share of and address the growing number of potholes. This could make a noticeable difference for fleets. Local roads carry the majority of domestic freight and serve as the first and last mile of nearly every delivery. Improving them should reduce wear and tear on vehicles as well as operational strain. 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jueves 28 agosto 2025 • Noticias del sector

¿SE ESTÁN PASANDO LAS FLOTAS A LA INTEGRACIÓN DE VEHÍCULOS AUTÓNOMOS?

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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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jueves 31 julio 2025 • Noticias del sector

LA OLA DE CALOR AFECTA A LA MOVILIDAD EN EUROPA: CÓMO ANTICIPARSE

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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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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.