SMART 4 BUS – AI Monitoring of Bus Infrastructure in Tauragė

The SMART 4 BUS pilot in Tauragė, Lithuania, deploys an AI-powered analytics system by Univrses to automate condition monitoring of bus stops. This innovative solution uses computer vision to reduce manual inspection workloads and shorten repair response times, ultimately improving urban mobility for all users.

The pilot operates in two stages. Stage 1 begins in July 2025, when collection devices are installed on one bus and one rubbish collection vehicle. Data collection and system familiarisation will occur in collaboration with city staff, supported by dashboard training and onboarding. This phase focuses on gathering real-world data to train the AI model, while ensuring system functionality.

Stage 2 involves refining the AI model based on the collected data, to accurately identify and assess bus stop-specific issues. Over the course of three months, the system will evolve into a fully operational tool that detects accessibility barriers, damage, cleanliness concerns and more. The goal is to monitor 90% of Tauragė’s bus stops and deliver data-driven insights to improve user experience. The pilot includes two onsite visits, multiple training sessions, and active engagement with maintenance and transport staff. By November 2025, SMART 4 BUS aims to provide a replicable model for smart public transport infrastructure monitoring across Europe.