Lviv

Lviv’s road traffic infrastructure is planned and modified by various contractors, including municipal and private firms. Each project is approved separately by the police, and records of traffic organization are kept only on paper and scanned copies. As a result, there is no unified, up-to-date, digital database showing where signs and markings are located, what type they are, or what condition they are in.   

This fragmented record-keeping makes it difficult to carry out safety audits, maintenance planning, or support data-driven traffic management.  Missing, damaged or obscured signs often go unnoticed, contributing to safety risks and inefficient traffic flow.  

To address this, the city aims to create a digital inventory that records the type, location, and condition of all relevant traffic signs and markings as well as the database of the approved traffic organizational plans.  Such digital inventory and database could enhance road safety by providing accurate information, enabling authorities to identify and address missing or damaged signs promptly, and supporting data-driven decision making, , avoid duplications during the future designs of traffic management on the streets.. It would also allow for optimized traffic flow, quicker incident response and reduced congestion, while laying the foundation for connected and autonomous vehicles and other smart city initiatives.  A modern, centralised inventory would also help optimise maintenance budgets, reduce unnecessary field inspections, and support long-term planning. 

Area: The city of Lviv, Ukraine’s western metropolis, focusing on main urban roads and intersections across its historic centre and expanding suburban districts.  

DESIRED SITUATION

The pilot area will encompass streets where traffic signs and road markings are critical for safety and traffic management.  

Within the pilot period – consisting of preparatory work and at least two weeks of on‑ground operation – the city aims to achieve the following outcomes: 

1. Pilot inventory coverage: Digitally record at least 70 % of traffic signs and road markings within the chosen pilot corridor, capturing type, GPS location, condition and photographic evidence. The aim is to demonstrate the feasibility of rapid data collection rather than complete coverage. 
2. Detection accuracy: Achieve 90 % or higher accuracy in sign and marking detection and classification using cost‑effective sensing and AI techniques. This includes comparing automated detection results with manual surveys to validate performance. 
3. Responsiveness: Provide near‑real‑time alerts for missing or damaged signs during the two‑week operational phase, enabling municipal staff to respond to at least 80 % of identified issues within 24 hours. 
4. Prototype integration: Deliver a prototype GIS‑based inventory integrated with the city’s existing transport management systems and publish anonymised data through a simple API. This will allow authorities to visualise assets and assess potential benefits for wider deployment. 
5. Stakeholder feedback: Collect structured feedback from road safety authorities, maintenance crews and other stakeholders using surveys or workshops. Aim for at least 70 % of participants to rate the pilot as useful or very useful and provide insights for improvement. 
6. Database: Collect and include at least 70% existing approved traffic organizational plans. Graphical user interface with search and structure tools.   

Longer‑term goals: If the pilot proves successful, Lviv will seek additional funding to expand the digital inventory across the city, refine the technology and integrate it with national transport databases. The pilot is intended as a proof of concept rather than a full implementation.