Olev Märtens

CitySense is an innovative urban sensing ecosystem that leverages a fleet of public vehicles to provide scalable, mobile data collection and advanced data analytics for smart cities. Unlike traditional static sensors, CitySense uses a modular, roaming hardware system that collects real-time data on urban infrastructure, air quality, and traffic conditions. The system aggregates data from existing sources and processes it using advanced AI models, offering actionable insights for city officials, businesses, researchers, and citizens. By transforming public vehicles into mobile sensing hubs, CitySense reduces the cost and complexity of city-wide sensor networks while ensuring comprehensive coverage of urban environments. The project focuses on addressing key urban challenges in Tallinn (Estonia), Pula (Croatia), and Dublin (Ireland), where each city faces unique issues such as road condition monitoring, traffic sign inventory, and air quality management. CitySense offers a flexible solution through its modular design, allowing the easy integration of various sensor modules to address specific city needs. This approach not only minimizes infrastructure costs but also improves data collection efficiency across large urban areas.