Advancing Road Safety: Preparing Today’s Infrastructure for Tomorrow’s Autonomous Vehicles

At Traffic Safety Incorporated, our mission centers on a critical question for the future of transportation: Are today’s roads truly ready for tomorrow’s automated vehicles?

As Autonomous Vehicles (AVs) transition from pilot programs to everyday traffic, road safety relies on more than just advanced onboard sensors and software. It depends on infrastructure compatibility—ensuring that physical roads communicate cleanly and reliably with the artificial intelligence driving these vehicles.

The Vision-System Bottleneck: Why Road Markings Matter

While human drivers rely on broad visual cues, AVs depend heavily on Machine Vision Systems (MVS) to detect lanes, establish vehicle positioning, and maintain safe navigation. If a robot vehicle cannot "see" the lane boundaries, advanced driver-assistance systems (ADAS) disengage, creating immediate safety risks.

Among all infrastructure elements, pavement markings are the primary baseline for automated lane-keeping systems. However, their visibility changes drastically based on light levels, weather, and physical wear.

+-----------------------------------------------------------------------+ | AV Navigation Reliance | +-----------------------------------------------------------------------+ | [ Machine Vision / Cameras ] ---> Detect Lane Markings | | [ Retroreflectivity Quality ] ---> Determines Signal Clarity | | [ Degraded/Faded Markings ] ---> Sensor Dropout / Disengagement | +-----------------------------------------------------------------------+

Current Focus: Precision Retroreflectivity Analysis with Retrotek

To address this challenge, Traffic Safety Incorporated is currently conducting comprehensive road marking retroreflectivity evaluations.

Retroreflectivity—the ability of a surface to reflect light back to its source—is what allows both human eyes and optical sensors to read lane lines in low-light and nighttime conditions. To collect high-precision, real-world data, we are utilizing mobile retroreflectometers developed by Retrotek in Ireland.

Why Retrotek Technology?

Unlike traditional handheld devices that measure static points or older single-line systems, Retrotek’s mobile technology allows us to analyze infrastructure efficiently and accurately at traffic speeds:

• Full-Lane Scanning: Evaluates continuous stretches of centerlines, edgelines, and symbols across entire traffic corridors without disrupting traffic flow.

• Dual-Line Capability: Measures both left and right lane markings simultaneously in a single pass, saving critical field time.

• Day & Night Accuracy: Simulates night-time visibility conditions while operating during normal daylight hours, capturing vital data on glass bead degradation and paint wear.

• AV-Standard Benchmarking: Maps retroreflectivity levels ($mcd/m^2/lux$) directly against the minimum threshold requirements needed for AV optical sensors.

Building the Bridge to Fully Autonomous Transit

By gathering hyper-accurate spatial and visibility data across highways and urban networks, Traffic Safety Incorporated helps road authorities, urban planners, and DOTs target maintenance precisely where automated systems are most likely to fail.

Upgrading infrastructure isn't just about paving better roads—it's about creating a readable, consistent canvas for automated navigation. Through rigorous testing, data collection, and hardware compatibility analyses, Traffic Safety Incorporated continues to ensure that existing infrastructure evolves seamlessly alongside vehicle technology.