Enabling Predictive Safety and IoT-Driven Traffic Management: Building Beyond Connectivity Barriers

As smart cities expand and autonomous systems proliferate, transport networks are transforming into intricate, data-rich ecosystems. From AI-driven traffic lights to self-driving delivery drones, these innovations promise faster, safer, and more sustainable mobility. But one invisible layer underpins every sensor signal and control loop: connectivity.

For all the promise of 5G, no single network can deliver the universal, fail-safe coverage required by next-generation transport. Dropped packets, interference, and blind spots can derail entire systems. The key to unlocking predictive safety and seamless IoT-driven traffic management lies in a new paradigm: hybrid, heterogeneous connectivity.

Predictive safety is built on the ability to act before incidents occur. Whether it’s adjusting speed limits due to sudden fog, rerouting around a spill, or deploying drones to survey a flooded motorway, these responses rely on timely data transmission between sensors, vehicles, infrastructure, and control systems.

Projects like CELTIC-NEXT’s SafeRoute-6G exemplify the future of predictive safety: multi-country, multi-bearer networks that relay hazard alerts, traffic updates, and drone telemetry across borders and terrains. But their success depends on uninterrupted data streams. Even the smartest AI platform is only as effective as the connectivity it relies on.

In urban centres, network congestion is a daily threat. During peak hours or major events, overloaded cellular towers cause latency spikes and blackouts. In rural areas, coverage is inconsistent or nonexistent. And aerial systems like delivery drones routinely fly beyond terrestrial infrastructure, placing them out of reach of traditional networks.

Even emerging low-Earth orbit (LEO) satellite constellations, while promising, face limitations: capacity constraints, orbital blind spots, and weather-induced attenuation. Aerial drones, uncrewed vehicles, and roadside IoT infrastructure need more than a “failover” solution — they need constant, intelligent connectivity management.

Enter true hybrid connectivity — the aggregation of 4G/5G, Wi-Fi, satellite, and other bearers into a single, orchestrated data pipeline. Livewire’s RazorLink SD-WAN technology exemplifies this approach by continuously monitoring all available networks and directing traffic along the optimal path based on bandwidth, latency, cost, and reliability.

This isn’t just about switching from 5G to satellite when coverage drops. It’s about bonding multiple networks simultaneously, ensuring that autonomous vehicles and IoT systems retain seamless access to critical data, even in the face of congestion, jamming, or hardware failure.

Consider a connected ambulance transmitting high-resolution patient scans to a hospital. Or a drone delivering essential supplies across flood-hit countryside. In both cases, the system must pivot from Wi-Fi to 5G to satellite as needed — instantly and without manual intervention. RazorLink enables this flexibility, ensuring life-saving data reaches its destination without delay.

Alongside mobile and satellite networks, a new layer of connectivity is emerging from the streets themselves. Resilient street furniture — from lampposts and bus shelters to gantries and overhead signage — is being equipped with IoT nodes, microcells, and edge processors. These “smart” fixtures form microgrids of connectivity, collecting and transmitting data on traffic density, air quality, weather conditions, and more.

Critically, these installations can host small-cell antennas or local Wi-Fi access points that offload data from passing vehicles or boost network strength at bottlenecks. In cities or border zones, where congestion and regulatory handovers challenge continuity, IoT-equipped infrastructure helps ensure no vehicle or drone is left in the dark.

Uncrewed aerial vehicles (UAVs), such as those used in Project CAELUS, highlight the extreme connectivity demands of BVLOS (Beyond Visual Line of Sight) operations. These drones must maintain constant contact with ground control — whether for navigation, surveillance, or emergency intervention.

The CAELUS initiative demonstrated how digital twins, multi-network data fusion, and real-time Master Control Room interfaces can manage drone traffic safely even in complex airspaces. But again, this depends on resilient hybrid networks that can span airspace, terrain, and jurisdiction.

Whether flying over urban canyons or remote coastlines, drones must rely on connectivity blending — using terrestrial 5G when available, then seamlessly transitioning to satellite or dedicated RF links when terrestrial coverage fails.

While autonomy is advancing rapidly, human oversight remains essential. Teleoperation — where human operators remotely control autonomous vehicles — is particularly vital for edge cases like accident zones, unexpected detours, or dynamic humanitarian missions.

But teleoperation is high-bandwidth and latency-sensitive. A 500ms delay can render remote control unusable. Hybrid connectivity addresses this by routing real-time video, sensor, and control signals across the best available paths, while simultaneously maintaining redundancy.

This layered, resilient approach ensures continuity of control, even in challenging terrains or congested urban environments, allowing human intervention when AI systems reach their limits.

Every layer of a predictive safety system is a potential vulnerability — from vehicle sensors to roadside cameras to the network links themselves. Hybrid connectivity helps mitigate cyber risk by isolating compromised paths, rerouting traffic, and applying security policies at the bearer level.

Advanced protections include:

• End-to-end encryption across all network types

• Intrusion detection systems on each bearer route

• Network slicing to separate mission-critical traffic from routine communications

• Tamper-proof hardware for IoT nodes in street furniture

Digital twins also play a pivotal role, simulating disruptions and visualising weak points before they affect real-world systems.

The future of traffic management isn’t just predictive — it’s pre-emptive. It’s about enabling vehicles, drones, and control centres to act not only in real time but ahead of time, based on shared intelligence from a robust, always-on network.

This is why efforts like SafeRoute-6G, ESA’s satellite V2X projects, and 5GAA’s cross-network roadmap are converging on one truth: resilience comes from redundancy. The only way to manage the explosive growth in data, autonomy, and IoT devices is by building a network of networks.

Livewire is at the heart of this movement, enabling a new standard in connectivity that empowers safer roads, smarter skies, and more responsive urban infrastructure.