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Novinky z odvetvia • 4 min čítania

9 spôsobov, ako detekcia AI mení odvetvie vozových parkov

Vytvorené: 03. 11. 2025

Aktualizované: 04. 11. 2025

Umelá inteligencia (AI) nanovo definovala prístup profesionálov v oblasti vozového parku ku každodennej činnosti. Moderné technológie umožňujú manažérom merateľne zlepšiť údržbu, bezpečnosť a dodržiavanie predpisov vo všetkých vozidlách. S rastúcim regulačným tlakom budú poznatky založené na AI čoraz dôležitejšie pri získavaní rozhodujúcej výhody. Tu je deväť spôsobov, ako detekcia AI mení odvetvie vozových parkov.

1. Monitorovanie správania vodiča

Pokročilá telematika a algoritmy strojového učenia (ML) pomáhajú pri odhaľovaní AI vo vozových parkoch monitorovaním správania vodičov. Tieto zariadenia analyzujú vzory v reálnom čase a označujú rizikové správanie vodičov, ako je napríklad prekračovanie rýchlosti a prudké brzdenie. Modely ML okamžite spracúvajú údaje zo snímačov vo vozidle a identifikujú odchýlky od noriem bezpečnej jazdy a firemných zásad.

Vodiči dostávajú okamžitú spätnú väzbu priamo vo vozidle, zatiaľ čo manažéri vozového parku dostávajú podrobné správy o trendoch. Množstvo informácií pomáha nadriadeným personalizovať koučovanie a nájsť konkrétne oblasti na zlepšenie. Telematické riešenia majú pre vozové parky v celej krajine rozhodujúci význam, pretože znižujú nehodovosť a úrazovosť prostredníctvom zlepšeného správania a školiacich programov.

2. Optimalizácia trás

Algoritmy umelej inteligencie sú nevyhnutné na analýzu dopravných údajov v reálnom čase, ako sú uzávierky ciest a poveternostné podmienky. Zápchy môžu byť značné, najmä ak vaše trasy prechádzajú Londýnom. V správe spoločnosti Inrix z roku 2024 sa uvádza, že vodiči zažili 101 hodín meškania pri jazde v hlavnom meste. ML modely dokážu rýchlo identifikovať úzke miesta a nepriaznivé počasie, aby sa dodržali kritické časy doručenia.

Manažéri vozového parku z toho profitujú, pretože ich vodiči môžu zlepšiť včasné plnenie úloh. Optimalizácia trasy znamená, že dodávky s väčšou pravdepodobnosťou dorazia počas plánovaných okien. Zlepšuje sa aj správanie vodičov tým, že menej jazdia na voľnobeh a najazdia menej kilometrov. Moderné technológie umelej inteligencie rýchlo zisťujú uzávierky ciest a neočakávané zmeny počasia, aby sa minimalizovali poruchy.

3. Automatizácia vykazovania zhody

Hlásenie nehôd zahŕňalo manuálne záznamy a dokumentáciu. Umelá inteligencia však môže znížiť potrebu práce automatickým zisťovaním a odosielaním hlásení o nehodách. Tieto technológie dokážu rozpoznať potenciálne incidenty, od kolízií až po takmer nehody. Senzory zhromažďujú relevantné informácie v čase udalosti, aby poskytli viac kontextu. Súčasťou automatického hlásenia môžu byť aj neobvyklé okolnosti, ako je napríklad nasadenie airbagu.

Po dokončení detekcie AI systém zostaví informácie do štandardizovanej správy. Manuálne protokoly môžu vytvárať časovo náročné úlohy, takže AI môže tieto procesy automatizovať a uvoľniť zamestnancov. Správcovia vozového parku a poisťovne dostanú správu, čím sa zabezpečí dodržiavanie predpisov a presná komunikácia. Pokročilé technológie zachytávajú relevantné údaje a používajú konzistentné formátovanie, takže všetky strany dostanú dôležité podrobnosti.

4. Zlepšenie prediktívnej údržby

Neočakávané poruchy vozidiel môžu narušiť harmonogramy a oneskoriť dodávky. Umelá inteligencia pomáha manažérom vozového parku odhaliť tieto problémy skôr, ako sa stanú závažnými. V reálnom čase sa monitorujú všetky charakteristiky, od teploty motora až po tlak oleja. Pokročilé algoritmy identifikujú jemné anomálie a upozorňujú operátorov, keď sa komponent blíži k poruche.

Hoci pevné servisné intervaly môžu byť výhodné, umelá inteligencia vám umožní byť aktívnejší a presne naplánovať údržbu. Výborným príkladom sú snímače tlaku v pneumatikách, najmä pre stavebné a komunálne spoločnosti. Odborníci tvrdia, že vzduchové kompresory by mali dodávať o 25 % viac CFM, ako zariadenie potrebuje na zachovanie osvedčených postupov. Tieto snímače nepretržite monitorujú výkon a zisťujú postupné poklesy, čím upozorňujú na včasné príznaky úniku.

5. Analýza spotreby paliva

Detekcia AI vo vozových parkoch presahuje rámec skúmania správania vodičov. Telematika a senzory analyzujú vzorce rýchlosti a zrýchlenia, aby lepšie pochopili spotrebu paliva. Systémy monitorujú vozidlá na nadmerný voľnobeh a neefektívne trasy, ktoré zvyšujú spotrebu benzínu alebo nafty. Umelá inteligencia môže prispôsobiť odporúčania vodičom tým, že im ponúkne optimalizované rozsahy rýchlosti alebo potreby údržby.

Manažéri vozového parku získavajú súhrnné údaje o spotrebe paliva a výdavkoch. Tieto informácie im pomáhajú prijímať informovanejšie rozhodnutia o obstarávaní vozidiel a plánovaní trás. Ak staršie vozidlá vykazujú neefektívnosť, možno nastal čas na modernizáciu. Odborníci na logistiku by mali porovnávať jednotlivé vozidlá s priemyselnými normami, aby zistili odchýlky.

6. Zníženie emisií

Medzi environmentálne ciele Spojeného kráľovstva patrí dosiahnutie nulových čistých emisií do roku 2050. Manažéri vozových parkov si preto musia viac uvedomovať sprísňovanie noriem a riziko pokút. Detekcia AI pomáha vozidlám prostredníctvom senzorov a palubných diagnostických systémov, ktoré zbierajú údaje počas prevádzky. Algoritmy ML identifikujú vzory a anomálie v rámci informácií a upozorňujú na nadmerné emisie.

AI môže upozorniť manažérov vozového parku a umožniť proaktívnu údržbu, ak vozidlo prekročí prahové hodnoty emisií. Zatiaľ čo ľudia prijímajú opatrenia na zníženie emisií skleníkových plynov, v odvetví dopravy rastie detekcia pomocou umelej inteligencie. V štúdii z roku 2025 sa uvádza, že deep reinforcement learning maximalizuje zníženie emisií prispôsobením schopností ekologickej jazdy. Americkí výskumníci uviedli, že jeho zavedenie do 10 % vozidiel by znížilo emisie uhlíka až o 50 %.

7. Prechod na elektrické vozidlá

Ďalším spôsobom, ako môžu manažéri vozových parkov znížiť emisie, je prestavba elektrických vozidiel (EV). Vlastníctvo elektrických vozidiel sa na národnej úrovni zvyšuje prostredníctvom súkromných vodičov a vlastníkov vozových parkov, keďže správa z roku 2025 odhalila medziročný nárast o 38,9 % od roku 2023. Umelá inteligencia môže pomôcť logistikom pri prechode tým, že im odporučí, kedy, kde a ako elektrifikovať vozový park.

Prví majitelia elektrických vozidiel môžu potrebovať pomoc s nabíjacími oknami a potrebami infraštruktúry. Systémy poháňané umelou inteligenciou zisťujú, kedy a kde by sa elektromobily mohli prirodzene prispôsobiť nabíjacím oknám. Mohli by napríklad odporučiť najlepší čas na nabíjanie, aby sa znížilo narúšanie rozvrhu. Niektorí možno uvažujú o prechode na elektromobily, takže manažéri logistiky môžu využiť AI na porovnanie údajov o nákladoch medzi elektrickými a benzínovými vozidlami.

8. Zníženie nákladov

Hoci investície do umelej inteligencie môžu byť prekážkou, z dlhodobého hľadiska môžu byť finančne výhodné. Tieto softvérové možnosti znižujú náklady tým, že minimalizujú prestoje, ktoré spomaľujú každodennú prevádzku. Včasné odhalenie problémov môže viesť k lepšej údržbe vozového parku, čo vytvára viac prevádzkového času a príjmov. Manažéri vozového parku môžu tiež ušetriť peniaze vďaka lepšej optimalizácii trás a riadeniu spotreby paliva.

Detekcia AI vo vozových parkoch je nevyhnutná na zefektívnenie administratívnych procesov. Tieto technológie môžu automaticky vykonávať kontroly zhody a dokumentáciu incidentov, čím sa zníži potreba manuálneho papierovania. Vaši operátori sa môžu viac sústrediť na širšie súvislosti a menej na administratívnu réžiu. Ak monitorovanie pomôže vašim vodičom, môže znížiť náklady na opravy vozidiel a právne nároky.

9. Sledovanie aktív

Krádeže vozidiel a nákladu v Spojenom kráľovstve. neustále klesajú, aj keď naďalej predstavujú významný problém. Detekcia pomocou umelej inteligencie ponúka ďalšie bezpečnostné vrstvy tým, že zmenšuje príležitosť pre zlodejov. Funkcie sledovania majetku kombinujú GPS a telematické funkcie na monitorovanie polohy v reálnom čase, čo je nevyhnutné pre spoločnosti prepravujúce majetok vysokej hodnoty.

Správcovia vozového parku môžu využívať funkcie geografického ohraničenia, ktoré im umožňujú nastaviť virtuálne hranice. Ak nákladné vozidlo alebo dodávka opustí tieto zóny, systémy poháňané umelou inteligenciou automaticky označia túto udalosť a upozornia logistických odborníkov. Algoritmus je dostatočne inteligentný na to, aby pochopil anomálie a bezpečnostné protokoly. Abnormality môžu spustiť bezpečnostné opatrenia, ako je napríklad diaľkové vypnutie.

Využívanie detekcie umelej inteligencie pre náklady a dodržiavanie predpisov

AI je praktický nástroj, ktorý mení pravidlá hry pre manažérov vozového parku. Pokročilá analytika a monitorovanie v reálnom čase umožňujú logistickým odborníkom dosiahnuť merateľné zlepšenia bezpečnosti a výkonnosti. Hoci sa technológie vyvíjajú, budúcnosť je tu. Váš podnik by mal byť ochotný investovať do riešení založených na AI s cieľom znížiť náklady a minimalizovať riziká.

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streda 10 decembra 2025 • Novinky z odvetvia

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štvrtok 28 augusta 2025 • Novinky z odvetvia

PRECHÁDZAJÚ VOZOVÉ PARKY NA INTEGRÁCIU AUTONÓMNYCH VOZIDIEL?

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štvrtok 31 júla 2025 • Novinky z odvetvia

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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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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.