Projects

The pilot with Dreamwaves addresses the lack of detailed accessibility information. The pilot was selected through the EIT Urban Mobility’s RAPTOR program for the challenge posed by Mobility Lab Helsinki (read more about the challenge here).

The solution is based on a mobile application that uses augmented reality and allows users to collect and annotate obstacles and issues on the streets, such as blocking objects like construction sites, e-scooters, potholes etc.

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.

In the pilot, xyzt.ai’s visual analytics platform is used for studying traffic flows and quality of data sets provided by GeoMobility. The objective is to better understand the quality and coverage of different data sets in the Helsinki area, and how they serve different needs and how they can be analyzed (e.g. routes, speeds and delays of traffic). For the companies, it provides a chance to build knowledge on regional data sources, challenges and needs.

The public summary report is available here as pdf.

The API documentation for the open data can be found here: https://urbsense.urbanplatform.city/api/public/docs/.

This pilot is one of the selected agile pilots from the call in the summer of 2020.

This project is one of the selected agile pilots. The solution will be tested in the spring of 2021 as the first phase of the agile pilot process.

This project is one of the selected agile pilots. The solution was tested in the spring of 2021 as the first phase of the agile pilot process, the second phase of the pilot is planned for spring of 2022.

This project is one of the selected agile pilots. The solution was tested in the spring of 2021 as the first phase of the agile pilot process.

This project is one of the selected agile pilots. The solution was tested in the spring of 2021 as the first phase of the agile pilot process.