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9 modi in cui il rilevamento dell'intelligenza artificiale sta trasformando l'industria delle flotte

Creato: 03/11/2025

Aggiornato: 04/11/2025

L'intelligenza artificiale (AI) ha ridefinito il modo in cui i professionisti delle flotte affrontano le operazioni quotidiane. Le moderne tecnologie consentono ai gestori di migliorare in modo misurabile la manutenzione, la sicurezza e la conformità dei loro veicoli. Con l'aumento delle pressioni normative, gli approfondimenti basati sull'AI saranno sempre più fondamentali per ottenere un vantaggio decisivo. Ecco nove modi in cui il rilevamento dell'IA sta trasformando il settore delle flotte.

1. Monitoraggio del comportamento del conducente

La telematica avanzata e gli algoritmi di apprendimento automatico (ML) aiutano il rilevamento dell'IA nelle flotte monitorando il comportamento dei conducenti. Questi dispositivi analizzano i modelli in tempo reale e segnalano i comportamenti di guida a rischio, come l'eccesso di velocità e le frenate brusche. I modelli di ML elaborano istantaneamente i dati provenienti dai sensori di bordo e identificano le deviazioni dalle norme di guida sicura e dalle politiche aziendali.

I conducenti ricevono un feedback immediato a bordo del veicolo, mentre i gestori della flotta ottengono rapporti dettagliati sulle tendenze. La ricchezza di informazioni aiuta i supervisori a personalizzare le sessioni di coaching e a trovare aree di miglioramento specifiche. Le soluzioni telematiche si sono rivelate fondamentali per le flotte a livello nazionale perché riducono gli incidenti e gli infortuni grazie al miglioramento del comportamento e ai programmi di formazione.

2. Ottimizzazione dei percorsi

Gli algoritmi di intelligenza artificiale sono essenziali per analizzare i dati sul traffico in tempo reale, come le chiusure delle strade e le condizioni meteorologiche. La congestione può essere significativa, soprattutto se i vostri percorsi passano per Londra. Secondo un rapporto di Inrix del 2024, gli automobilisti hanno subito 101 ore di ritardi quando guidano nella capitale. I modelli ML possono identificare rapidamente i colli di bottiglia e le condizioni meteorologiche avverse per rispettare i tempi di consegna critici.

I gestori delle flotte ne traggono vantaggio perché i loro autisti possono migliorare le prestazioni in termini di puntualità. L'ottimizzazione del percorso significa che le consegne hanno maggiori probabilità di arrivare nei tempi previsti. Inoltre, migliora il comportamento dell'autista, che si ferma meno e percorre meno chilometri. Le moderne tecnologie di intelligenza artificiale rilevano rapidamente le chiusure delle strade e i cambiamenti meteorologici imprevisti per ridurre al minimo le interruzioni.

3. Automatizzazione dei rapporti di conformità

La segnalazione degli incidenti prevedeva registri e documentazione manuale. Tuttavia, l'intelligenza artificiale può ridurre il fabbisogno di manodopera rilevando e inviando automaticamente i rapporti sugli incidenti. Dalle collisioni ai quasi incidenti, queste tecnologie sono in grado di riconoscere i potenziali incidenti. I sensori raccolgono informazioni rilevanti al momento dell'evento per fornire un contesto più ampio. Anche circostanze insolite, come l'attivazione degli airbag, possono rientrare nella segnalazione automatica.

Una volta completato il rilevamento dell'AI, il sistema compila le informazioni in un rapporto standardizzato. I registri manuali possono creare attività che richiedono molto tempo, quindi l'IA può automatizzare questi processi e liberare il personale. I gestori delle flotte e gli assicuratori ricevono il rapporto, garantendo così la conformità e una comunicazione accurata. Le tecnologie avanzate acquisiscono i dati rilevanti e utilizzano una formattazione coerente, in modo che tutte le parti ricevano i dettagli critici.

4. Migliorare la manutenzione predittiva

I guasti imprevisti ai veicoli possono interrompere i programmi e ritardare le consegne. L'intelligenza artificiale aiuta i gestori delle flotte a individuare questi problemi prima che diventino gravi. Dalla temperatura del motore alla pressione dell'olio, le caratteristiche sono monitorate in tempo reale. Algoritmi avanzati identificano le anomalie più sottili e avvisano gli operatori quando un componente è prossimo al guasto.

Sebbene gli intervalli di manutenzione fissi possano essere vantaggiosi, l'intelligenza artificiale consente di essere più proattivi e di programmare con precisione la manutenzione. I sensori di pressione degli pneumatici sono un esempio eccellente, soprattutto per le imprese edili e di servizi. Secondo gli esperti, i compressori d'aria dovrebbero erogare il 25% in più di CFM rispetto alle esigenze delle apparecchiature per mantenere le migliori pratiche. Questi sensori monitorano continuamente la potenza e rilevano cali graduali, segnalando i primi segni di perdite.

5. Analisi del consumo di carburante

Il rilevamento dell'intelligenza artificiale nelle flotte va oltre lo studio del comportamento del conducente. La telematica e i sensori analizzano i modelli di velocità e accelerazione per comprendere meglio il consumo di carburante. I sistemi monitorano i veicoli per rilevare un eccessivo funzionamento al minimo e un percorso inefficiente che aumenta il consumo di benzina o gasolio. L'intelligenza artificiale è in grado di fornire raccomandazioni personalizzate ai conducenti, proponendo intervalli di velocità ottimizzati o esigenze di manutenzione.

I gestori di flotte beneficiano di dati aggregati sul consumo di carburante e sulla spesa. Queste informazioni li aiutano a prendere decisioni più informate sull'acquisto dei veicoli e sulla pianificazione dei percorsi. Se i veicoli più vecchi mostrano inefficienze, potrebbe essere il momento di aggiornare il lotto. I professionisti della logistica dovrebbero confrontare i singoli veicoli con gli standard del settore per individuare i valori anomali.

6. Riduzione delle emissioni

Gli obiettivi ambientali del Regno Unito [includono il raggiungimento delle emissioni nette zero] (https://commonslibrary.parliament.uk/research-briefings/cbp-9888/) entro il 2050. Pertanto, i gestori di flotte devono essere più consapevoli dell'inasprimento degli standard e del rischio di multe. Il rilevamento dell'intelligenza artificiale aiuta i veicoli attraverso i sensori e i sistemi di diagnostica di bordo, che raccolgono dati durante le operazioni. Gli algoritmi di ML identificano schemi e anomalie all'interno delle informazioni e segnalano le emissioni eccessive.

L'intelligenza artificiale può avvisare i gestori di flotte e consentire una manutenzione proattiva se un veicolo supera le soglie di emissione. Mentre gli esseri umani adottano misure per ridurre i gas serra, l'individuazione dell'IA sta aumentando per aiutare l'industria dei trasporti. Uno studio del 2025 ha affermato che il deep reinforcement learning massimizza la riduzione delle emissioni adattando le capacità di guida ecologica. I ricercatori statunitensi hanno affermato che la sua implementazione nel 10% dei veicoli ridurrebbe le emissioni di carbonio fino al 50%.

7. Transizione ai veicoli elettrici

Un altro modo in cui i gestori di flotte possono ridurre le emissioni è la conversione dei veicoli elettrici (EV). Il possesso di veicoli elettrici è in aumento a livello nazionale, sia tra i conducenti privati che tra i proprietari di flotte, come dimostra un rapporto del 2025 che ha rivelato un aumento del 38,9% su base annua a partire dal 2023. L'intelligenza artificiale può assistere i professionisti della logistica nella transizione, consigliando quando, dove e come elettrificare le flotte.

I proprietari di veicoli elettrici che si avvicinano per la prima volta possono avere bisogno di aiuto per quanto riguarda le finestre di ricarica e le infrastrutture necessarie. I sistemi basati sull'intelligenza artificiale rilevano quando e dove le auto elettriche potrebbero allinearsi naturalmente con le finestre di ricarica. Ad esempio, potrebbero consigliare gli orari migliori per la ricarica per ridurre le interruzioni di programma. Alcuni stanno pensando di passare ai veicoli elettrici, quindi i responsabili della logistica possono sfruttare l'intelligenza artificiale per confrontare i dati sui costi tra le auto elettriche e quelle a benzina.

8. Riduzione dei costi

Sebbene l'investimento nell'IA possa rappresentare un ostacolo, a lungo termine può risultare economicamente vantaggioso. Queste opzioni software riducono i costi minimizzando i tempi di inattività che rallentano le operazioni quotidiane. Il rilevamento precoce dei problemi può portare a una flotta più curata, con conseguente aumento dei tempi di attività e dei ricavi. I gestori delle flotte possono anche risparmiare denaro grazie a una migliore ottimizzazione dei percorsi e alla gestione del carburante.

Il rilevamento dell'intelligenza artificiale nelle flotte è essenziale per snellire i processi amministrativi. Queste tecnologie sono in grado di eseguire automaticamente i controlli di conformità e la documentazione sugli incidenti, riducendo così la necessità di documenti manuali. Gli operatori possono concentrarsi maggiormente sul quadro generale e meno sulle spese amministrative. Se il monitoraggio aiuta i vostri conducenti, potrebbe ridurre i costi delle riparazioni dei veicoli e delle cause legali.

9. Tracciamento delle attività

I furti di veicoli e di merci [sono diminuiti costantemente nel Regno Unito] (https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/datasets/crimeinenglandandwalesappendixtables). Il rilevamento dell'intelligenza artificiale offre ulteriori livelli di sicurezza, riducendo la finestra di opportunità per i ladri. Le funzioni di tracciamento dei beni combinano funzionalità GPS e telematiche per monitorare la posizione in tempo reale, essenziali per le aziende che trasportano beni di valore elevato.

I gestori di flotte beneficiano delle funzioni di geofencing, che consentono di impostare confini virtuali. Se un camion o un furgone esce da queste zone, i sistemi basati sull'intelligenza artificiale segnalano automaticamente l'evento e lo notificano ai professionisti della logistica. L'algoritmo è abbastanza intelligente da comprendere le anomalie e i protocolli di sicurezza. Le anomalie possono innescare misure di sicurezza come la disabilitazione a distanza.

Sfruttare il rilevamento dell'intelligenza artificiale per i costi e la conformità

L'intelligenza artificiale è uno strumento pratico e rivoluzionario per i gestori di flotte. Le analisi avanzate e il monitoraggio in tempo reale consentono ai professionisti della logistica di ottenere miglioramenti misurabili in termini di sicurezza e prestazioni. Mentre le tecnologie sono in via di sviluppo, il futuro è qui. La vostra azienda dovrebbe essere disposta a investire in soluzioni basate sull'IA per ridurre i costi e minimizzare i rischi.

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mercoledì 10 dicembre 2025 • Notizie sul settore

IL BILANCIO BRITANNICO 2025: COSA SIGNIFICA PER L'AUTOTRASPORTO

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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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giovedì 28 agosto 2025 • Notizie sul settore

LE FLOTTE STANNO PASSANDO ALL'INTEGRAZIONE DEI VEICOLI AUTONOMI?

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giovedì 31 luglio 2025 • Notizie sul settore

COME L'ONDATA DI CALORE IN EUROPA STA INFLUENZANDO LA MOBILITÀ: COME ESSERE ALL'AVANGUARDIA

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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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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.