The Need

Urban intersections are among the highest‑risk environments for automated and human‑driven vehicles due to occlusions, complex right‑of‑way, mixed traffic, and inconsistent connectivity. On‑board perception alone often misses beyond‑line‑of‑sight actors, while centralized or game‑theoretic controllers can be brittle, compute‑heavy, or vulnerable to single points of failure. Industry needs a decentralized, infrastructure‑aware approach that boosts safety and intersection capacity, even when only part of the fleet cooperates or communications are degraded.

The Technology

OSU engineers have developed a novel technology that enables cooperative navigation at smart intersections by fusing vehicle‑to‑everything (V2X) messages from roadside units, smart traffic lights, and autonomous intersection management with ego‑vehicle parameters to compute safe, real‑time motion commands. Modular capabilities include cooperative collision avoidance, cooperative adaptive cruise control, and cooperative lane‑keeping, designed to operate in mixed traffic where some vehicles are non‑cooperative. The system is decentralized, edge‑compatible, and robust to partial jamming, guiding vehicles through conflict points with optimized speed and path choices.

Commercial Applications

• ADAS/AV stacks
• Smart‑signal and controller vendors
• Smart‑city and traffic‑management platforms
• Robotaxi and logistics fleets

Benefits/Advantages

• Beyond‑visual‑range safety at conflict points; maintains safe separations even with occlusions or partial jamming.
• Beneficial even when only the ego vehicle is cooperative.
• Decentralized & edge‑ready, reducing single‑point failures and easing integration with existing V2V/V2I infrastructure.
• Throughput gains via optimized speeds/paths, improving intersection capacity while preserving safety margins in simulations.