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Știri din industrie • 4 min citește

Se orientează flotele către integrarea vehiculelor autonome?

Creat: 28.08.2025

Actualizat: 28.08.2025

Zbuciumul în jurul mașinilor care se conduc singure nu mai este la fel de puternic ca înainte, dar rămâne un zgomot constant în urechile managerilor de flote. Guvernul Regatului Unit a amânat planurile pilot de integrare a vehiculelor autonome pentru 2026, reînnoind interesul pentru această tehnologie. Vor ignora factorii de decizie zgomotul sau vor îmbrățișa adoptarea timpurie?

Ce presupune integrarea vehiculelor autonome?

Integrarea vehiculelor autonome presupune încorporarea tehnologiilor de conducere autonomă, precum inteligența artificială, detectarea și măsurarea luminii (LiDAR) și camerele de înaltă definiție în flotele comerciale. La o scară mai largă, aceasta presupune introducerea mașinilor care se conduc singure în sistemele de transport public existente.

Sistemele de asistență a șoferului includ evitarea coliziunilor, ajustarea automată a vitezei, centrarea pe bandă, controlul adaptiv al vitezei de croazieră și transportul inteligent. Automatizarea parțială și condiționată se bazează pe tehnologii mai avansate pentru a permite operarea cu mâinile libere în anumite circumstanțe.

Nivelurile 4 și 5 de automatizare sunt priorități absolute pentru producătorii de automobile, dar sunt dificil de implementat în practică, deoarece inginerii trebuie să țină cont de nenumărate cazuri limită. Chiar și cu ajutorul inteligenței artificiale avansate, parcarea perfectă și prevenirea coliziunilor pot fi dificile. Ce se întâmplă dacă marcajele de pe trotuar sunt abia vizibile sau dacă un copil aleargă pe șosea? Adoptarea se bazează pe reacția mașinii.

Flotele se orientează către integrarea vehiculelor autonome?

Potrivit Centrului pentru vehicule conectate și autonome, secretarul pentru transporturi Heidi Alexander a confirmat că guvernul britanic va accelera planurile pilot comerciale privind vehiculele autonome și va avea ca obiectiv primăvara anului 2026. Această măsură ar putea [crea aproape 40 000 de locuri de muncă] (https://www.gov.uk/government/news/driving-innovation-38000-jobs-on-the-horizon-as-pilots-of-self-driving-vehicles-fast-tracked) și ar putea aduce 42 de miliarde de lire sterline economiei Regatului Unit până în 2035.

Noua legislație a țării privind vehiculele automatizate este printre cele mai solide din lume, punând bazele unei adoptări comerciale pe scară largă. Maturitatea tehnologică este singurul obstacol rămas.

Într-un interviu acordat McKinsey & Company, Sascha Meyer - CEO al companiei germane de tehnologie auto MOIA - a declarat că previzionarea termenelor de integrare a vehiculelor autonome a fost o provocare. În 2016, întreprinderea sa MOIA credea că vehiculele fără șofer vor prolifera în întreaga Europă până în 2021.

De atunci, Meyer a realizat că adoptarea presupune proiectarea unui întreg ecosistem, nu doar a funcțiilor de conducere. Noul calendar prevede ca mașinile care se conduc singure să ajungă în orașele europene cel mai devreme în 2030. Inginerii de la MOIA proiectează prototipul pentru a depăși redundanțele impuse. În acest fel, acestea vor fi gata să funcționeze comercial de îndată ce legislația relevantă va fi adoptată.

Factorii care determină adoptarea vehiculelor fără șofer

Parcurile de vehicule de livrare, taxi, utilitare și comerciale înregistrează o creștere a utilizării sistemelor de asistență la condus și a automatizării inteligente. Cu toate acestea, rata de penetrare rămâne relativ scăzută, mai ales având în vedere cât timp a existat tehnologia. Care sunt planurile lor în materie de autonomie?

Creșterea eficienței este unul dintre principalele motive pentru care managerii de flote adoptă automatizarea. Spre deosebire de oameni, furgonetele fără șofer pot funcționa 24 de ore din 24. Cu ajutorul sistemelor telematice, acestea pot optimiza condusul și minimiza timpul de inactivitate pentru a îmbunătăți eficiența consumului de combustibil și pentru a accelera călătoriile.

Inteligența artificială este imună la erorile umane, eliminând frânarea bruscă și distragerea atenției la volan. Ea nu poate fi obosită și nu are unghiuri moarte. Aceste îmbunătățiri ar putea contribui la reducerea coliziunilor rutiere și a accidentelor auto, ceea ce poate atenua cererile costisitoare de despăgubire a lucrătorilor și poate reduce costurile de asigurare.

Economiile de costuri sunt un alt factor care contribuie. La nivelurile 4 și 5, proprietarii pot optimiza cheltuielile cu forța de muncă și pot compensa deficitul de șoferi. În plus, mașinile electrice fără șofer cu capacitate de conectare a vehiculelor la rețea pot reduce costurile de exploatare cu aproape 20 % pe o perioadă de 30 de ani, contribuind la compensarea investiției inițiale.

Factori care întârzie adoptarea vehiculelor fără șofer

În afară de așteptarea maturizării tehnologiei fără șofer, proprietarii de flote întârzie adoptarea din cauza costurilor inițiale ridicate. Încorporarea LiDAR, AI și telematică în fiecare camion este costisitoare. Achiziționarea de vehicule noi în loc de modernizare este la fel de costisitoare. Chiar dacă s-ar putea face economii, tehnologia avansează rapid - investiția lor ar putea deveni rapid depășită.

Siguranța este o altă preocupare. Senzorii foto-ochi [sunt standard în majoritatea ușilor de garaj moderne] (https://www.qualitydoorcompany.com/blog/garage-door-maintenance-guide/). Aceștia împiedică închiderea ușii pe obiecte, mașini sau persoane și sunt utilizați în întreaga industrie în spălătoriile auto și pe liniile de asamblare a automobilelor. În timp ce unii producători de automobile utilizează doar sisteme cu camere video, inginerii au fost nevoiți să creeze noi soluții. În prezent, mulți utilizează LiDAR, sisteme globale de navigație prin satelit și senzori cu ultrasunete.

Cu toate acestea, chiar și cele mai avansate sisteme sunt failibile. Nu este suficient ca mașinile automate să funcționeze la fel de bine ca oamenii - ele trebuie să reușească acolo unde șoferii umani eșuează.

Senzorii există de ani de zile, dar inginerii nu i-au perfecționat încă. Acestea pot eșua în cazuri limită sau în scenarii necunoscute. Autovehiculele de nivel 3 funcționează doar pe autostrăzi împărțite, cartografiate în prealabil, pe vreme senină. Având în vedere că Marea Britanie a înregistrat 150 de zile de precipitații în 2021, acestea pot fi prea puțin fiabile pentru a fi adoptate la scară largă.

Cum se poate pregăti Regatul Unit pentru vehiculele autonome

Integrarea vehiculelor autonome poate avansa încet, dar este pe cale să ajungă la destinație în următorul deceniu. Conform cercetării Goldman Sachs, până la 10% din mașinile noi vândute la nivel mondial ar putea fi vehicule de nivel 3 până în 2030. Acesta prevede că nivelul 2 - cele care necesită supravegherea șoferului - va crește de la 20% din vânzări în 2025 la 30% în 2027.

Managerii ar trebui să ia în considerare amploarea și costul integrării flotei autonome pentru a determina dacă adoptarea timpurie este potrivită pentru ei. Aceasta va duce probabil la economii pe termen lung, dar așteptarea poate fi mai satisfăcătoare, deoarece oferă timp pentru progresul tehnologic. În cazul în care analiza cost-beneficiu nu este convingătoare, aceștia ar trebui să ia în considerare modernizarea treptată pe măsură ce mașinile se defectează.

Cei care procedează la adoptare trebuie să elaboreze politici de exploatare, stocare, securitate și actualizări. Aceste reguli ar trebui să varieze în funcție de nivelul de automatizare. De exemplu, șoferilor de camioane de nivel 3 ar trebui să li se ceară să acorde toată atenția drumului pentru a prelua controlul dacă este necesar.

Educarea angajaților cu privire la rolul lor este esențială pentru succesul implementării. Cercetarea Volkswagen Financial Services a arătat că [șase din 10 persoane] (https://fleetworld.co.uk/majority-of-uk-drivers-say-theyre-better-than-autonomous-vehicles/) se consideră mai buni șoferi decât vehiculele autonome, astfel încât este puțin probabil ca aceștia să supraestimeze capacitățile sistemului fără șofer. Cu toate acestea, ei ar trebui totuși să primească o formare explicită cu privire la cele mai bune practici și obiceiuri de evitat.

Viitorul integrării flotei autonome în Regatul Unit

Mașinile care se conduc singure lucrează din greu în porturi și depozite din întreaga Europă. Automatizarea vehiculelor rutiere reprezintă o provocare mai mare, deoarece acestea nu se află pe o pistă fixă. De asemenea, acestea trebuie să țină cont de variabile precum vremea și alți automobiliști. Geofencing-ul, telematica și inteligența artificială accelerează adoptarea, făcând imprevizibilul previzibil. Cel puțin, aceste soluții îmbunătățesc timpii de răspuns și reduc erorile umane, demonstrând că aceste tehnologii nedovedite anterior sunt la fel de capabile ca automobiliștii umani.

Pentru moment, automatizarea completă care elimină nevoia de atenție umană rămâne teoretică. Cu toate acestea, condusul cu mâinile libere este o realitate, iar sistemele fără șofer ar putea deveni, în curând, standard în flotele comerciale. Pe măsură ce producătorii de automobile perfecționează funcțiile de conducere, proprietarii de flote ar trebui să acorde prioritate cartografierii rutelor, gestionării șoferilor și programării întreținerii.

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marți 16 decembrie 2025 • Știri din industrie

CE ÎNSEAMNĂ ÎNREGISTRĂRILE DIGITALE OBLIGATORII DIN SPANIA PENTRU FLOTELE CARE OPEREAZĂ ÎN EUROPA

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Spain is preparing for one of the most significant transport reforms in its recent history. The Sustainable Mobility Law (Ley de Movilidad Sostenible), which received final approval in November 2025, will introduce mandatory digital records for road freight control documentation, creating a more transparent, enforceable and efficient system for domestic and international carriers. Although this is a major national change, it forms part of a wider trend. Across Europe, governments and operators are moving towards a fully digital freight environment as the EU prepares to implement the (eFTI).For fleets working in and out of Spain, this is the start of an important transition. It signals a future in which paper documentation becomes the exception rather than the rule and in which digital processes support faster checks, smoother operations and greater consistency across borders.While the Sustainable Mobility Law addresses wide-ranging transport reforms – from urban mobility to domestic flight restrictions – the provisions most relevant to international freight operators centre on digital documentation. A central section of the law introduces a mandatory digital “control document” for road freight. This includes the use of approved digital formats, such as the electronic consignment note (eCMR), which Spain has already ratified and treats as legally equivalent to the paper CMR note. The law aims to reduce administrative burdens, eliminate inconsistencies in paperwork and shorten the time required for checks and inspections. Rather than relying on handwritten notes or physical documents that can be misplaced, carriers will store, share and verify transport information digitally. For operators, this should mean fewer disputes over documentation, less ambiguity around compliance requirements and greater certainty when preparing for audits or regulatory reviews.In practice, the obligation focuses first on the digital control document used for roadside and regulatory checks, but it is expected to accelerate wider use of eCMR and other digital freight documents across the supply chain.The timeline for implementation will begin once the law is published in Spain's Official State Gazette. 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Enforcement authorities will receive that information through secure digital channels. This should reduce administrative friction across the EU’s busiest freight routes.Spain is not alone in taking early steps. Several EU countries have already moved towards paperless freight systems and their experience demonstrates what a fully digital environment could look like.● The Netherlands has been one of the earliest adopters of eCMR and has trialled end-to-end digital workflows across different modes of transport. ● France also moved early, supporting digital documentation and faster roadside checks following its ratification of the eCMR protocol. ● In the Benelux region, Belgium, Luxembourg and the Netherlands are running a joint eCMR pilot and digital logistics corridor, illustrating how interoperable documentation can work across national boundaries.● Denmark and Sweden have operated national e-freight trials designed to simplify the sharing of transport information. Taken together, these examples show that Spain’s Mobility Law is part of a broader European transition. Rather than standing apart, Spain is moving in step with a continental shift towards digital documentation that aims to make road freight faster, more transparent and more consistent across borders.The move to digital records brings several practical advantages. Digital documents reduce the time drivers and enforcement officers spend handling paperwork and shorten inspections during roadside checks. This mirrors the benefits seen with the introduction of , which have reduced unnecessary stops for compliant drivers and improved the consistency of enforcement across Europe.Digital documentation also removes the errors that can arise from handwritten notes or damaged paper notes. Fleet managers can instantly retrieve records, resolve errors more easily and maintain clearer oversight of documentation across multiple routes. 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The administrative load associated with new processes often falls on drivers. Clear training and straightforward systems will be essential.Spain’s Mobility Law marks an important moment in the evolution of European freight. It reflects a sector that is modernising at speed and preparing for a future built on digital workflows rather than manual paperwork. Operators that begin preparing now will be in a strong position as Spain’s digital control document requirements take effect and eFTI comes into force across Europe.At SNAP, we support fleets across Spain and the wider continent with tools that make daily operations simpler and more predictable. The intruck app helps drivers locate and book secure parking along their route, which is particularly valuable as compliance processes evolve. If your fleet is preparing for Spain’s new requirements or the broader digital transition across Europe, SNAP is here to support every step of the journey.

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miercuri 10 decembrie 2025 • Știri din industrie

BUGETUL BRITANIC PE 2025: CE ÎNSEAMNĂ PENTRU TRANSPORTURI

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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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luni 03 noiembrie 2025 • Știri din industrie

9 MODURI ÎN CARE DETECTAREA IA TRANSFORMĂ INDUSTRIA FLOTELOR

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Artificial intelligence (AI) has redefined how fleet professionals approach daily operations. Modern technologies let managers measurably improve maintenance, safety and compliance across their vehicles. As regulatory pressures rise, AI-driven insights will be more critical in gaining a decisive edge. Here are nine ways AI detection is transforming the fleet industry. Advanced telematics and machine learning (ML) algorithms help AI detection in fleets by monitoring driver behaviour. These devices analyse real-time patterns and flag risky driving behaviours like speeding and harsh braking. ML models instantly process data from in-vehicle sensors and identify deviations from safe driving norms and company policies.Drivers receive immediate feedback in the vehicle, while fleet managers get detailed reports on trends. The wealth of information helps supervisors personalise coaching sessions and find specific improvement areas. Telematics solutions have been critical to fleets nationwide because through improved behaviour and training programmes. AI algorithms are essential to analysing real-time traffic data, like road closures and weather conditions. Congestion can be significant, especially if your routes pass through London. A 2024 Inrix report said drivers when driving in the capital city. ML models can quickly identify bottlenecks and adverse weather to meet critical delivery times. Fleet managers benefit because their drivers can improve on-time performance. Route optimisation means deliveries are more likely to arrive during scheduled windows. It also enhances driver behaviours by idling less and covering fewer miles. Modern AI technologies rapidly detect roadway closures and unexpected weather changes to minimise disruptions. Accident reporting used to include manual logs and documentation. However, AI can reduce labour needs by automatically detecting and submitting incident reports. From collisions to near misses, these technologies can recognise potential incidents. Sensors gather relevant information at the event’s timing to provide more context. Unusual circumstances like airbag deployment can also be part of the automatic reporting. Once AI detection is complete, the system compiles information into a standardised report. Manual logs can create time-consuming tasks, so AI can automate these processes and free up staff. Fleet managers and insurers receive the report, thus ensuring compliance and accurate communication. Advanced technologies capture relevant data and use consistent formatting, so all parties get the critical details. Unexpected vehicle breakdowns can disrupt schedules and delay deliveries. AI helps fleet managers detect these problems before they become significant issues. From engine temperature to oil pressure, characteristics are monitored in real time. Advanced algorithms identify subtle anomalies and alert operators when a component is nearing failure. While fixed service intervals can be beneficial, AI lets you be more proactive and schedule maintenance precisely. Tire pressure sensors are an excellent example, especially for construction and utility companies. Experts say air compressors than equipment needs to maintain best practises. These sensors continually monitor output and detect gradual drops, flagging early signs of leaks.AI detection in fleets goes beyond studying driver behaviour. Telematics and sensors analyse speed and acceleration patterns to better understand fuel consumption. The systems monitor your vehicles for excessive idling and inefficient routing that increases petrol or diesel usage. AI can tailor recommendations to drivers by offering optimised speed ranges or maintenance needs.Fleet managers benefit by getting aggregated data on fuel consumption and spending. This information helps them make more informed vehicle procurement and route planning decisions. If older vehicles show inefficiencies, it may be time to upgrade the lot. Logistics professionals should compare individual vehicles against industry standards to see outliers. The U.K.’s environmental goals by 2050. Therefore, fleet managers must be more aware of tightening standards and the risk of fines. AI detection helps vehicles through sensors and onboard diagnostics systems, which collect data during operations. ML algorithms identify patterns and anomalies within the information and notify of excessive emissions. AI can alert fleet managers and enable proactive maintenance if a vehicle exceeds emissions thresholds. While humans take measures to reduce greenhouse gases, AI detection is rising to help the transportation industry. A 2025 study said by adapting eco-driving capabilities. 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Early detection of issues can lead to a more well-maintained fleet, which creates more uptime and revenue. Fleet managers can also save money through enhanced route optimisation and fuel management. AI detection in fleets is essential for streamlining administrative processes. These technologies can automatically perform compliance checks and incident documentation, thus reducing the need for manual paperwork. Your operators can focus more on the bigger picture and less on administrative overhead. If monitoring helps your drivers, it could reduce the cost of vehicle repairs and legal claims. Vehicle and cargo theft ., though they remain significant concerns. AI detection offers additional security layers by reducing the window of opportunity for thieves. Asset tracking features combine GPS and telematics capabilities to monitor real-time location, essential for companies transporting high-value assets. Fleet managers benefit from geofencing features, allowing them to set virtual boundaries. If a truck or van exits these zones, AI-powered systems automatically flag the event and notify logistics professionals. The algorithm is intelligent enough to understand anomalies and security protocols. Abnormalities can trigger security measures like remote disabling. AI is a practical, game-changing tool for fleet managers. Advanced analytics and real-time monitoring empower logistics professionals to drive measurable safety and performance improvements. While technologies are developing, the future is here. Your business should be willing to invest in AI-driven solutions to reduce costs and minimise risks. Discover more from .