23/02/2026
The future of urban transportation is already taking shape in Japan with the testing of Eno, a compact autonomous taxi designed for dense city environments. This small self-driving vehicle challenges traditional taxi concepts through its ultra-compact design and advanced artificial intelligence, allowing it to navigate narrow streets and busy urban areas with precision. Despite its size, Eno can carry up to three passengers and is built to operate safely in real-world traffic conditions.
Eno is equipped with high-precision LiDAR sensors, multiple 360-degree cameras, and an intelligent adaptive lighting system that enables reliable operation both day and night. Its controlled speed strategy is inspired by the efficiency of moving garbage collectors, prioritizing safety, smooth stops, and predictable motion to significantly reduce accident risks. This cautious yet efficient approach makes it particularly suitable for crowded cities where pedestrian activity is high.
Currently undergoing trials in high-density urban settings, the prototype aims to improve mobility while addressing major city challenges such as congestion and emissions. By integrating with sustainable transport systems, Eno represents a shift toward smarter, cleaner, and more efficient urban travel. If successfully deployed at scale, it could redefine how cities manage transportation and set a new benchmark for intelligent mobility worldwide.