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V2X Communication
AI traffic management
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    Real-time communication between vehicles, infrastructure and traffic systems, enabling safer and smarter mobility networks.

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    AI-driven traffic systems optimize flow, reduce congestion and support data-informed transport decisions in real time.

    Automated enforcement >

    Unified AI-powered platform monitors speed, weight and red-light compliance, learning and adapting to traffic patterns.

    Advanced monitoring >

    Continuous surveillance and sensor-driven insights for infrastructure and traffic, improving safety, reliability and decision-making.

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    Integrated infrastructure designed to support autonomous vehicles, ensuring seamless and secure self-driving operations.

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    Dynamic digital replicas of physical infrastructure enabling predictive analytics, simulation and real-time operational insights.

    Featured article

    Why transportation infrastructure needs different cybersecurity: OT security, NIS2 and the EU regulatory baseline

    Transportation infrastructure is critical (essential) infrastructure under EU law. A cyberattack can halt traffic and disable tunnel safety systems, not just leak data - which is why NIS2, the Cyber Resilience Act and GDPR now shape how these OT systems must be designed, not only operated.

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Category: Blog article

Why transportation infrastructure needs different cybersecurity: OT security, NIS2 and the EU regulatory baseline

Why transportation infrastructure needs different cybersecurity: OT security, NIS2 and the EU regulatory baseline

Transportation infrastructure is critical (essential) infrastructure under EU law. A cyberattack can halt traffic and disable tunnel safety systems, not just leak data – which is why NIS2, the Cyber Resilience Act and GDPR now shape how these OT systems must be designed, not only operated.

4 Systems integrator criteria most RFPs overlook – what transportation ITS tenders miss

4 Systems integrator criteria most RFPs overlook

Most transportation ITS tenders score systems integrators on experience and price. The criteria that actually predict integration success – legacy-system depth, post-go-live support SLAs, security by design, and honest scope limits – rarely appear in the tender.

Edge Computing: Why cloud alone isn’t enough for intelligent transport systems (ITS)

Edge Computing: Why cloud alone isn't enough for intelligent transport systems (ITS)

In intelligent transport systems (ITS), edge computing is now a safety requirement, not an option. Learn why cloud-only architectures fall short on the sub-100 ms latency that V2X and signal safety demand.

Digital twins in transportation infrastructure and traffic management: When the ROI really holds up

Digital twins in transportation infrastructure and traffic management: When the ROI really holds up

Digital twin technology delivers measurable ROI in transportation infrastructure and traffic management – but only under specific conditions. A practical framework for road operators and transport authorities to evaluate infrastructure fit, data maturity, and payback.

The real cost of overweight trucks on your roads: the weigh-in-motion (WIM) enforcement ROI case

The real cost of overweight trucks on your roads: the weigh-in-motion (WIM) enforcement ROI case

Overweight trucks cause disproportionate road damage – the fourth power law explains why. Here is what high-speed weigh-in-motion (WIM) and ANPR enforcement mean for your pavement-maintenance budget, axle-load compliance, and weight-enforcement ROI.

Low-Speed vs. High-Speed WIM: A Decision Guide and where OIML R134 low-speed enforcement fits

Low-Speed vs. High-Speed WIM: A Decision Guide

Low-speed (LSWIM) or high-speed (HSWIM) weigh-in-motion? The right choice depends on your enforcement goals, accuracy class and legal framework. A practical guide for transportation authorities – and why an OIML R134-certified LSWIM system is the enforcement-grade anchor.

Artificial Intelligence in road traffic management

AI is reshaping road traffic management from adaptive signal control to multi-objective route optimisation. Engineers at Lillyneir Ltd. break down the state of the art and what comes next.

AI hype is intellectual laziness – Interview with our CTO, Attila Molnár

Lillyneir builds the engineering foundation for intelligent transport infrastructure, where AI serves engineering, not the other way around.

Automated traffic enforcement: 4 questions to ask first

Planning an automated traffic enforcement project? Explore four key questions transportation authorities should ask before deployment, from safety priorities to performance measurement.

5 transportation challenges V2X actually solves

5-challanges-v2x-solves

Discover five transportation challenges V2X actually solves, from road safety and smarter signals to emergency response and autonomous vehicle readiness.

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