Projects

First ever electric on-demand boat operation in Helsinki. Pilot in summer 2020 at Vartiosaari facilitated by Mobility Launchpad of Jätkäsaari Mobility Lab. Idea also from city’s participatory budgeting.

Operating hours: Tue−Sun 10 am to 8 pm

(no traffic on Mondays)

Price (one-way):  

adults 2,50 € (with Callboats app 2 €) 

children (7−17 years) 1,50 € (with Callboats app 1 €) 

How to order a boat ride 

Callboats is an on-demand boat service. Instructions to order a boat ride:  

1. Download the Callboats app from the App Store or Google Play.  
2. The map shows you the current location of the boat. 
3. The pickup place is automatically chosen depending on your location – Laajasalo or Vartiosaari side.
4. Add a credit card as payment method or pay by card in the boat. 
5. Choose the amount of passengers.
6. Step in and have a nice trip! 

The journey can also be booked without the app – call +358 45 7834 8259 when you’re here at the site.

Measuring points are planned for the main junctions for vehicle traffic to and from Jätkäsaari. The objective is to get a better understanding of the traffic to and from Jätkäsaari. In addition to just number of vehicles, also the time spent there (e.g. short visits for maybe dropping off people to the terminal) as well as estimates of the emissions they bring in. The experiment is planned for late 2020. More information on Nodeon’s solution, including data privacy can be found here.

The pilot implements a local distribution centre for parcels. The hub, operated jointly by six operators, is located next to Helsinki’s busy Baana pedestrian and bicycle corridor. It was opened on 9 June 2020. The pilot runs until the end of 2020 and during that time, companies can bring their parcels to the shared distribution centre instead of every delivery company driving into the congested city centre with their own vehicles. From there, the deliveries are coordinated resource-efficiently utilising electric bikes and other low-emission transport modes.

The LMAD project includes building a robot, a fleet management system that enables autonomous mobility and an order system that allows the robot to communicate with customers. In addition to the technical implementation, a service concept is created by means of co-creation and service design and tested in a genuine urban environment with genuine customers.

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.

Vianova’s solution is based on MDS (Mobility Data Specification) communication protocol which enables bilateral and secure exchange of data between mobility providers and cities.

First, data is collected to detect road crossings. Later, alerts can be sent to nearby drivers to prevent a potential collision.

The technology can alert drivers even if the pedestrian is located behind an obstacle and the driver can’t see him. The incident data can also be used by the city itself to improve the city road safety infrastructure. Jätkäsaari Mobility Lab supports the pilot by helping in finding test users to use the application which is available both for Android and iOS. The application also utilises Helsinki’s open data to map whether road crossings are done at crosswalks or traffic lights. 

Key functionalities:

Pedestrian mode

– Road safety behavior stats to improve on-road behavior
– Real-time alert in case the user watches the smartphone when approaching a road
– Volume control – Adjusting headphones volume near roads

Driver mode

– Collision detection alert – Alert drivers on possible collision with pedestrians, even when the pedestrian is behind obstacles and the driver cannot see him
– Alerting drivers in possible collision situations
– Real-time notification when entering crowded pedestrian areas

City road safety dashboard

– Aggregated and statistical data for the city for better planning the physical infrastructure for pedestrians’ road safety (e.g. crosswalk planning, bicycle trails, traffic light optimization)

Apart from enhanced visibility, the smart traffic sign includes technology that generates data on traffic volumes, speed, air quality and environmental conditions for transport and city planners.