Projects

In the Jätkäsaari area, utilising the smart infra from the Smart Junction project, piloting of C-ITS solutions with a couple traffic lights and vehicles. Demonstrations planned for 2025 after first developing it through simulations. More info about the use case of preventing rear-end collisions: https://www.smart-edge.eu/2023/07/25/use-case-preventing-rear-end-collisions-by-enhancing-road-intersection-safety/

The three-month case study pilot was carried out in collaboration between Drover AI, Voi Technology, Vianova, VTT and Mobility Lab Helsinki. Drover’s PathPilot solution was installed on 25 of Voi’s e-scooters. In the first phase, it collected data about the infrastructure the e-scooters ride on. The second phase of the pilot introduced audio signals related to rider behaviour (such as alerts when riding on pedestrian streets, parking).

The case study produced a white paper analyzing the observed rider behaviour. The results were promising. For example, riding e-scooters on sidewalks was reduced during the test period. Continuation of testing with an expanded time and scope might be considered. Read more about the results.

“From the images collected by the scooters, we obtained accurate information about, among other things, potholes on sidewalks, which can be a safety risk for road users. Additionally, several situations were observed where, for example, a parked car blocked access to the bicycle lane,” says Juho Kostiainen, Project Manager of Mobility Lab Helsinki.

The URBANE project is aimed at developing a replication and scale-up model for successfully replicating smart green last-mile delivery solutions. It will use a PI-inspired innovation framework and digital twins with real life pilots in different cities around Europe. The activities in Helsinki are focused on developing and testing sustainable and viable last mile delivery solutions, and particularly autonomous systems. The Helsinki pilot partners include LMAD (Last Mile Autonomous Delivery, operating an autonomous system), DB Schenker (as the logistics operator) and Soben/TwinswHeel (as a provider of the autonomous platform) with Forum Virium Helsinki managing the pilot with the support of Helsinki/Mobility Lab.

The DVECE project pilots the use of innovative and dynamic visualisation tools within the context of traffic and mobility. The project is testing whether feedback data, ideas and suggestions concerning traffic and mobility can be collected through the City of Helsinki 3D model on the Decidim platform.

The project includes data collection pilots and the development of innovative data acquisition models especially in the context of Stara, the Helsinki City Construction Services and their operations.

The project addresses the City of Helsinki’s maritime strategy in making the archipelago more accessible through digitalization as well as helps in developing APIs and platforms supporting business ecosystems.

The project’s objective is to create an operating model for companies to convey last mile delivery information and details to drivers as open data. It will promote the operating conditions and improve cost efficiency of logistics operations, improve the service levels for the customers and reduce the environmental effects through optimization (e.g. reduced time spent looking for parking spots).

The data is stored and available in OpenStreetMap and for demonstration purposes an example application app.gatesolve.com was created. It visualises entrances and routes of last 50 meters to them. In addition to the navigation application, another (open source) application, Open Logistics Map (OLMAP), is available for collecting such data. 

A final report for the project can be found from Tieke’s web site here.  

Relevant aspects developed and tested in Helsinki include MyData and piloting cases such as using data to address blind spots behind corners in the Jätkäsaari area.

The project does open market consultation to find and then procure AI pilots addressing the energy and mobility related needs of cities.  Request for tenders was published at the end of 2020.

The data is stored and available in OpenStreetMap and for demonstration purposes an example application app.gatesolve.com is created. It visualises entrances and routes of last 50 meters to them. More information on the collected data and a preview service is available in the Materials and Data section.

The development done in this project is continued in 2021-2022 in the Logistics Accessibility Data project.