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

Creato: 03/11/2025

Aggiornato: 03/11/2025

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 (https://blog.hercrentals.com/air-compressors-and-tools/what-air-compressor-size-do-i-need/) rispetto alle esigenze delle apparecchiature per mantenere le migliori pratiche. Questi sensori monitorano continuamente la produzione 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), anche se rimangono un problema significativo. Il rilevamento dell'intelligenza artificiale offre ulteriori livelli di sicurezza, riducendo la finestra di opportunità per i ladri. Le funzioni di tracciamento degli asset 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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giovedì 28 agosto 2025 • Notizie sul settore

LE FLOTTE STANNO PASSANDO ALL'INTEGRAZIONE DEI VEICOLI AUTONOMI?

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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. Partial and conditional automation leverage more advanced technologies to enable hands-free operation under certain circumstances.Level 4 and 5 automation are top priorities for automakers but challenging to implement in practice because engineers must account for countless edge cases. Even with advanced AI, perfecting parking and preventing collisions can be difficult. What if the pavement markings are barely visible or a child runs into the road? Adoption hinges on the car’s reaction.According to the Centre for Connected & Autonomous Vehicles, transport secretary Heidi Alexander confirmed the U.K. government will accelerate self-driving commercial pilot plans and aim for Spring 2026. The move could and add £42 billion to the U.K. economy by 2035.The country’s new automated vehicle legislation is among the most robust worldwide, laying the groundwork for widespread commercial adoption. Technological maturity is the only remaining hurdle.In an interview with McKinsey & Company, Sascha Meyer — the CEO of German automotive technology company MOIA — said predicting autonomous vehicle integration timelines has been challenging. In 2016, her enterprise MOIA throughout Europe by 2021.Since then, Meyer has realised adoption entails designing an entire ecosystem, not just driving functions. The new timeline sees self-driving cars in European cities by 2030 at the earliest. The engineers at MOIA are designing the prototype to exceed mandated redundancies. This way, they will be ready to operate commercially once the relevant legislation passes.Delivery, taxi, utility, and commercial fleets are seeing an uptick in driver assistance systems and intelligent automation. However, the penetration rate remains relatively low, especially considering how long the technology has existed. What are their plans for autonomy?Increased efficiency is among the main reasons fleet managers are embracing automation. Unlike humans, driverless vans can operate around the clock. With telematics systems, they can optimise driving and minimise idle time to improve fuel efficiency and expedite trips.AI is immune to human error, eliminating harsh braking and distracted driving. It cannot become fatigued and does not have blind spots. These improvements could help reduce road collisions and car accidents, which can mitigate costly workers’ compensation claims and potentially lower insurance costs.Cost savings are another contributing factor. At Level 4 and 5, owners can optimise labour expenses and compensate for driver shortages. Moreover, electric driverless cars with vehicle-to-grid capacity can over 30 years, helping offset the upfront investment.Aside from waiting for driverless technology to mature, fleet owners are delaying adoption due to high upfront costs. Embedding LiDAR, AI and telematics into every truck is expensive. Buying new instead of retrofitting is equally pricey. Even if cost savings could be found, technology is moving quickly — their investment may quickly become outdated.Safety is another concern. Photo-eye sensors garage doors. They stop the door from closing on objects, cars or people, and are used throughout the industry in car washes and automotive assembly lines. While some automakers utilise camera-only systems, engineers have had to pioneer new solutions. Today, many use LiDAR, global navigation satellite systems and ultrasonic sensors.However, even the most advanced systems are fallible. It is not enough to make automated cars perform as well as people — they must succeed where human drivers fail.Sensors have existed for years, but engineers have not perfected them yet. They may fail in edge cases or unfamiliar scenarios. Level 3 cars only work on premapped, divided highways in clear weather. Given that the U.K. in 2021, they may be too unreliable for adoption at scale.Autonomous vehicle integration may be moving slowly, but it is on track to reach its destination within the next decade. According to Goldman Sachs research, sold worldwide could be Level 3 vehicles by 2030. It forecasts that Level 2 — those requiring driver supervision — will increase from 20% of sales in 2025 to 30% in 2027.Managers should consider the scope and cost of autonomous fleet integration to determine whether early adoption is right for them. It will likely result in long-term savings, but waiting may be more rewarding because it allows time for technological advancement. If the cost-benefit analysis is unconvincing, they should consider incrementally upgrading as cars fail.Those who proceed with adoption must develop operation, storage, security and upgrades policies. These rules should vary depending on the automation level. For instance, drivers of Level 3 lorries should be required to pay full attention to the road to take control if necessary.Educating employees on their role is essential for successful implementation. Volkswagen Financial Services research found consider themselves better drivers than autonomous vehicles, so they are unlikely to overestimate the driverless system’s capabilities. However, they should still receive explicit training on best practices and habits to avoid.Self-driving machines are hard at work in ports and warehouses across Europe. Automating highway vehicles is more challenging because they are not on a fixed track. Also, they must account for variables like weather and other motorists. Geofencing, telematics and AI are accelerating adoption by making the unpredictable predictable. At the very least, these solutions enhance response times and mitigate human error, demonstrating that these previously unproven technologies are just as capable as human motorists.For now, full automation that eliminates the need for human attention remains theoretical. However, hands-free driving is a reality, and driverless systems could soon become standard issue in commercial fleets. As automakers perfect driving functions, fleet owners should prioritise route mapping, driver management and maintenance scheduling.Discover more from .

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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. In the first week of July 2025, Germany recorded , while Spain and Portugal faced temperatures exceeding 46°C during the month. Europe, as a whole, is warming at roughly .These conditions are not just uncomfortable – they’re operationally disruptive. Research cited by Logistics Business shows that heatwaves are a growing risk factor for freight operations, reducing driver welfare, damaging cargo and delaying deliveries.As a result, temperature-sensitive cargo such as food, pharmaceuticals and electronics are becoming harder to move safely. Operators are seeing rising spoilage rates and late delivery penalties. The situation is especially complex in areas where power grids are stretched by increased cooling demand, reducing cold chain reliability.One of the clearest signs of heat’s toll on mobility came in early July, when parts of Germany’s autobahn network began to crack under the pressure of thermal expansion. Sections of the A1, A9 and A10 motorways, amongst others, were closed for urgent repairs as – a direct consequence of the country’s prolonged heatwave.As ground temperatures rise and vegetation dries out, wildfires are also becoming a regular – and dangerous – feature of European summers. According to Wikipedia’s 2025 European heatwave summary, wildfires have broken out across southern Spain, Germany and Greece, prompting mass evacuations and the temporary closure of major roadways and border crossings.In June 2025, the due to wildfires, while fires closed several in France. These closures don’t just create traffic chaos – they mean that HGVs have to reroute, often through narrow, unsuitable roads that can extend journey times by hours.In addition, smoke reduces visibility for drivers and poses health risks, especially for those spending long hours in-cab with inadequate air filtration. 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.

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lunedì 28 luglio 2025 • Notizie sul settore

CARBURANTE VS CARICA: IL PASSAGGIO ALL'ELETTRICO È PIÙ ECONOMICO O SEMPLICEMENTE PIÙ VERDE?

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The growth of electric charging stations across Europe for HGVs has led to a transitional period across the continent's vast road networks. For many fleet operators and drivers, classic diesel-fuelled HGVs are still the transport of choice. However, the shift to electric HGVs is looming, as the industry continues to evolve.To assess the feasibility of switching from diesel to electric, SNAP has authored research into the costs of recharging HGVs vs refuelling them across various European freight routes. We calculated the electricity versus diesel savings in euros per 100 km across .We found that Iceland led the way with an average cost saving of , with fellow Nordic countries Norway and Finland offering the second and third highest cost savings respectively. At the other end of the scale, Croatia offered the least amount of cost savings with , followed by Cyprus and Moldova.In this article, we uncover the cost savings per European country and analyses some of the cost savings per European country and analyses some of the external factors that may be influencing these savings. We also dive into what the future of eHGVs in Europe may look like as well as how eHGVs can help fleet operators and drivers save money, particularly with .Our research found that for every European country investigated, using an eHGV with electric charging saved money when compared to using a traditional HGV with fuel. The primary difference was just how much the cost savings varied. For example, the price for electricity in the most expensive country, (41 euros higher) than the least expensive country, Croatia.We found that on average, a driver with an electric HGV will save when compared with a diesel HGV driver. This translates to an estimated a year for long-haul electric HGV drivers and .To compile our data, we looked at 35 European countries and compared the energy or fuel cost per 100 km for two types of heavy goods vehicles (HGVs). These were a standard diesel HGV, assuming fuel consumption of 35 litres per 100 km at each country's average retail diesel price, and an electric HGV, assuming electricity use of 108 kWh per 100 km based on the average non-household electricity rate. VAT and recoverable taxes were excluded from these calculations. The comparison reflects direct “at-the-pump” or “at-the-plug” costs only, without accounting for factors such as fleet size, negotiated energy contracts, or future changes in fuel and electricity prices.When researching the pricing for diesel and electricity, a number of sources were drawn from, including , and . It is worth noting that some of these sources refer to ‘Great Britain’ while others refer to the ‘UK’. For the purposes of this research, both terms were treated interchangeably., , and are currently the countries where the most can be saved by converting to an electric HGV.This is largely due to these countries ranking among the most expensive in Europe for diesel. Iceland ranks as the most expensive country in Europe for diesel (€2.07 per litre). This steep cost largely comes from its geographical isolation compared with the rest of Europe, leaving the cost of importing diesel much higher than that of other European nations. Iceland, like Norway and Finland, is also known for its high tax rate, which also contributes to its high fuel cost. and also make up the top two countries in the world for electric cars on the road as a share of passenger cars on the road. As a result, both countries have invested significantly in electric charging infrastructure.Iceland’s small size and main ring road also make it easier to install electric charging stations at regular intervals for electric HGV drivers. The same reasoning can be partly used for other countries with smaller networks that have a high rate of cost savings, including Albania, Serbia, and Belgium — although it should be noted that all three also have some of the most expensive diesel prices in Europe, which contributes to the difference in cost savings.The chart below shows the top 10 countries that have the largest cost savings when using an electric HGV:Matthew Bellamy Croatia , Cyprus , and Moldova are currently the three countries with the lowest cost savings in Europe.Croatia has the in the EU after Poland. This is partly because of Croatia's poor EV charging infrastructure, such as charging stations that require ringing customer service or use multiple different apps to start the charging process, poor directions for charging stations outside major highways, and potentially high wait times during peak tourist season. Additionally, Croatia lacks ultra-high-speed charging stations (180 kW and above), which can prove a problem for electric HGVs that require more power than the average EV.Both Cyprus and Moldova have internal geopolitical issues that make infrastructure planning for EV charging (as well as national planning in general) difficult. For Cyprus, the northern half of the island — including half of its capital, Nicosia — has been -backed Turkish Republic of Northern Cyprus since 1974. For Moldova, the eastern province of Transnistria acts as a de facto state with its own government. This means that both countries are unable to implement EV infrastructure in a consistent way across the territory they consider their own.The issues in Cyprus are also compounded by high electricity costs, while Moldova has the fifth cheapest diesel prices in Europe. Moldova is also the , making investment in EV infrastructure a challenge. All these factors contribute to an overall low cost saving for electric HGVs.Poland is also low on the list with a cost saving of . Despite its impressive economic growth and growing investment in EV charging infrastructure, its large size means that coverage is still an issue in certain areas of the country — although this looks likely to .Countries such as Spain , Romania , and Ireland occupy the middle of the road when it comes to cost saving for electric HGVs. This is likely due to these countries have growing EV charging infrastructure, and mid-priced electricity and diesel costs.The chart below shows the top 10 countries that have the lowest cost savings when using an electric HGV:The , which places it 11th overall for cost savings from recharging per 100 km. This is largely due to how expensive UK fuel prices are, with . Although the savings from high diesel costs certainly contribute to the UK’s high eHGV costs savings, it would likely be far higher if the electricity in the UK were not also amongst the in Europe.The UK is also expecting improvements to its EV charging infrastructure. The UK motorway service company, Moto is actively planning to build . These superhubs can better accommodate EV charging for eHGVs more efficiently than a standard EV charger. There are currently . With like BP Pulse and Aegis Energy also looking to invest, it looks likely that the UK will have a much-improved HGV charging network in the near future.There are several factors currently impacting HGV electrification, including a lack of charging infrastructure, long charge times, the high initial costs of eHGV conversion, and their limited range. Additionally, the comparatively low cost and accessibility of diesel fuel and vehicles make traditional HGVs an attractive option for However, all these impacts can vary depending on the country of operation. For example, if your fleet only runs domestically in a country such as Norway or Iceland, then it is likely to be less affected than a fleet operating across Europe or in regions with poorer eHGV infrastructure, such as the Balkans.The main obstacle to HGV electrification is insufficient eHGV charging infrastructure. This is because eHGVs require megawatt-scale charging, which most existing EV charging points for passenger vehicles (standard electric cars and vans) do not support.There are many countries in Europe that severely lack such infrastructure, especially on major freight routes and at truck stops. These tend to be poorer states in southern and eastern Europe such as Moldova, Georgia, and Bulgaria. It is no coincidence that these states rank in the bottom 10 for eHGV cost savings.It can also be the case that eHGV charging stations do exist, but they are in areas that simply can’t accommodate multiple eHGVs charging overnight due to a weak local power grid. This is often a problem in more rural and remote parts of Europe.Although many European countries are planning to improve eHGV infrastructure, it is still a time-consuming and expensive process, with numerous bureaucratic, logistical, and technical obstacles to overcome — not to mention the surrounding infrastructure upgrades, such as local grid connections, that will also be needed.Electric HGVs take far longer to charge than standard EVs. This means that charging must often take place overnight. Even if rapid eHGV chargers can be acquired, the process still takes at , rather than a few minutes, as is the case with petrol vehicles.This long charging time can have a knock-on effect for fleet operators in terms of turnaround times. In an industry with tight delivery schedules and deadlines, this can be potentially detrimental to business performance.Electric HGVs are also constricted by their relatively limited range compared to the mileage afforded by traditional HGVs. According to Safety Shield, a typical electric HGV has a range of around on a single charge (roughly the distance from London to Rotterdam). A typical diesel-powered HGV, however, can travel up to on a single tank of fuel (roughly the distance from London to Warsaw).Electric HGV mileage can also be more affected by external factors such as load, , and terrain. This can lead to range anxiety for drivers, who may conduct more frequent charges to ensure they have enough power to reach their destination. This, in turn, can lead to delivery delays, especially when driving through countries with poor eHGV charging infrastructure.All of this makes it vital for fleet operators planning journeys for their eHGVs. It should be noted that battery technology is constantly evolving, and capacity — and therefore mileage — will continue to improve in the near future.The initial cost of an eHGV is high (typically between , compared to between £80,000-£100,000 for a diesel HGV) which can potentially deter independent drivers and smaller fleet operators from owing one. This is largely due to the expense of the battery technology involved. This means that it will be costly to purchase a new electric HGV outright as the technology inside is more expensive than that of a diesel HGV.High initial eHGV purchasing costs also means that fleet operators in countries with cheaper electricity rates for eHGV charging such as Norway, Sweden, or Finland are more likely to convert since they will recoup their investment quicker than those in countries with expensive electricity, such as Ireland and Croatia.Electricity prices can also fluctuate in relation to various events. For example, over the past five years, electricity prices have fluctuated in response to economies opening up after the COVID-19 pandemic and then Russia's invasion of Ukraine in 2022 (the latter in particular had major effects on European energy supply). As a result, there was a spike in electricity prices of almost 30%, from for the average EU capital in the post-invasion period. With the EU average now, however, , it appears that electric charging for HGVs is set to continue its ascendency.Across Europe, the average cost of running an electric HGV over 100 km is €20.51 — significantly cheaper than the €51.10 it costs for a diesel HGV over the same distance.As efficiency improves and battery technology becomes more widespread and less expensive to produce, eHGVs will also become more affordable to acquire.Diesel fuel still plays a dominant role in the HGV industry. This is because diesel infrastructure has been well established in Europe for decades, especially in comparison to electric chargers for HGVs. Diesel's compatibility with , and its relatively cheapness also keep it popular with truck fleet managers.As with electricity, however, the value of diesel fluctuates across the continent. This is why it can appear more advantageous to stick with diesel HGVs in countries like Moldova, Georgia, and Malta, where diesel remains cheap. Conversely, for nations like Iceland and the Netherlands, where diesel is relatively expensive, there is greater incentive to switch to an electric HGV.A country with low-cost fuel may also be more hesitant to invest heavily in eHGV infrastructure for fear of alienating traditional HGV fleets, who may choose alternative routes as a result.Electric HGVs are the long-term future of road haulage. Not only are they cheaper to run over time, but with new infrastructure being invested in and built at a strong rate, they will also become much more financially and strategically viable.Beyond the economic benefits, electric HGVs are also important for their contribution to environmental goals such as Net Zero. With traditional HGVs being large-scale polluters, the by eHGVs will be felt in cleaner air across Europe.The look set to impact electric HGVs in the future:: will evolve to better accommodate eHGVs alongside other smart technological advancements. These truck parks may include up-to-date ultra-fast charging stations, diagnostic machines, battery swap stations, and automated cleaning services, among other features. : Low Emission Zones (LEZs) already exist in a number of cities (e.g. Paris, Berlin, and Milan) with more European cities likely to follow suit with more stringent. Fleet operators may opt for eHGVs to meet EU regulations or retrofit their HGVs with cleaner technologies, like . : has already had a across road haulage — with applications in route optimisation, predictive maintenance, and . Electric vehicles will likely incorporate AI to help drive sustainability in the haulage industry over the coming decades. : The shift to eHGVs is part of a wider global push toward sustainable living. The effects of extreme weather, including heatwaves and floods across Europe, show no sign of slowing due to climate change. Moving to electric HGVs is one way the world is reducing its dependence on fossil fuels. : During the transition to cleaner fuel sources, there will be a variety of HGV types on the road throughout the 2030s. Many will be older diesel models, some will be electric, and others will be powered by alternative fuels such as biofuel made from renewable biomass sources.Electric HGVs are the future, of that there is little doubt. The economic and environmental benefits will see more fleet operators and drivers switch to eHGVs in the coming years. How long this transitional period lasts will depend on how quickly Europe can develop its eHGV charging infrastructure.There are currently large swathes of the continent where eHGVs lack viability and require extensive route optimisation due to their shorter range. Additionally, the upfront costs involved can deter independent drivers and smaller fleet operators.The technology and infrastructure will continue to improve, and there are already services designed to make managing eHGV fleets and related costs as simple as possible. From route optimisation and fleet management to maps for parking and truck washes, SNAP makes trucking simple.