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Latvia

Riga (Latvia) is the largest city in the Baltic states and a significant cultural, economic, and financial hub. Riga sits along the Daugava River and plays a central role in the region’s connectivity. Many residents of Riga use private cars for their daily trips, as a result there are significant traffic jams and pressure on the existing road transport infrastructure. To improve this situation as well as to reduce noise and air pollution, the city of Riga carries out various activities to promote the use of micromobility transport.

Latvia is also facing the highest road fatalities. Traffic accidents where cyclists have been involved are approx. 4% (stat. of 2020) of the total number of traffic accidents in Riga. The urban and suburban road network layouts are subject to heavy usage and variable climate conditions, which exacerbate the wear and tear of road structures and furniture. Currently, the city experiences an absence of timely infrastructure asset management that affects the efficiency and safety of transport system and hampers economic activities and quality of life in both the city and its outskirts.

Rīga City Council established three smart city living labs (one in VEF district, the second in the Riga Technical University campus in Ķīpsala, and the third in the territory of the University of Latvia in Torņkalns) to facilitate the creation of innovative solutions that support their sustainability goals and ensure a safe and reliable environment for VRUs.

Objectives

The Living Lab will monitor and detect the severity of the defects on the urban infrastructure. Special focus will be given on monitoring of i) infrastructure used by micro-mobility fleets (bicycles, e-bikes, e-scooters, e-skateboards) due to increasing number of traffic accidents involving these users in Riga, and ii) traffic accidents hotspots to analyse the correlation between road crash severities, road user behaviour and road infrastructure conditions, as part of the new safety KPIs analysis.

Use Cases

AI-driven solutions and sensors for automated detection of infrastructure defects

A low-cost intervention for monitoring and upgrading infrastructure for VRUs/micro-mobility users

A Road Infrastructure Digital Twin coupled with a data-driven integrated accident analysis and traffic conditions enabling the dynamic quantification of multidimensional safety assessment criteria

Partners