AI-driven mobility

By Mark Coley, Senior Product Manager, PEI-Genesis

The global AI in transportation market, valued at $3.5 billion in 2021 and projected to reach $10.3 billion by 2028, underscores the rapid growth of AI-driven mobility. As 75% of transportation companies globally adopted AI-powered technologies by 2023, the need for reliable, high-performance connectors becomes crucial.

Powering autonomous vehicles

Autonomous vehicles rely on continuous, high-speed data exchange to interpret their surroundings and make split-second driving decisions. Fibre optic connectors are at the core of this operation, transmitting vast amounts of data between sensors, cameras, LiDAR, and onboard computing systems. These connectors enable ultra-low latency communication, essential for the vehicle’s ability to interpret its surroundings and respond instantly to changing conditions.

Unlike traditional copper-based alternatives, fibre optic connectors provide greater bandwidth and resistance to electromagnetic interference, ensuring real-time data flow even in the most complex driving conditions.

The next generation of fibre optic connectors are expected to support higher data rates and improved reliability. For instance, the introduction of advanced optical interconnects, like those using 800G to 1.6T data transmission rates, will enable vehicles to handle the growing complexity of onboard systems.

Smart traffic management

AI is transforming traffic management systems by leveraging advanced algorithms to enable real-time data analysis and optimise traffic flow. Through machine learning, AI models can predict traffic patterns, detect anomalies and dynamically adjust traffic signal timings, ensuring a more efficient and responsive transportation network.

In particular, AI enhances traffic signal control, enabling adaptive timing based on real-time traffic conditions, such as vehicle density and pedestrian movement, which optimises throughput while minimising congestion. Furthermore, AI’s ability to detect incidents and trigger immediate responses significantly improves safety and reduces delays.

Environmental sealing connectors are designed to provide maximum durability, protecting critical electronics from exposure while ensuring uninterrupted connectivity. By shielding traffic control units and sensor arrays from external elements, these connectors enable real-time traffic flow optimisation, allowing AI to make dynamic adjustments.

IP-rated connectors, specifically those with IP67 or higher ratings, ensure robust protection against dust and water ingress, making them ideal for outdoor and roadside applications.

Predictive maintenance

AI-powered predictive maintenance is transforming transportation by preventing mechanical failures before they occur. Vehicles, trains, and public transit systems are equipped with sensors that monitor temperature, pressure, and vibration levels in real time.

Sensor connectors play a critical role in ensuring this data is accurately transmitted to AI-driven diagnostic systems, allowing for early detection of potential malfunctions. These connectors must be reliable and capable of withstanding harsh operating conditions without signal degradation.

For example, the Amphenol LTW M series of sensor connectors are widely used in transportation applications due to their compact design, IP67/IP68-rated environmental sealing, and resistance to vibration and shock.

By enabling proactive maintenance, sensor connectors help reduce costly downtime, extend the lifespan of critical transportation assets, and enhance overall safety and efficiency.

As AI continues to redefine transportation, the reliability of connectors will determine the success of these advancements. Without them, AI-powered transportation would remain a theoretical concept rather than a functional reality. As the industry moves forward, investing in high-performance connector technology will be essential to building an intelligent, efficient, and resilient transportation ecosystem.