During the previous phase of Fabulos, we defined an API which enables us to integrate and embed our on-demand technology within autonomous vehicles (AV), such as the GACHA, making them even more efficient and accessible for users. We’ve already demonstrated what such integration would look like during the lab-demos, but now we are going to turn it into a whole new reality.
In the final round, we’ll implement our system within AVs based on the already tried and tested API. We’ll deploy our solution under real-life conditions by driving in mixed-traffic during the two pilot schemes: The first pilot will be in Helsinki (Finland) from April to June and the second one in Gjesdal (Norway) from August to October. Throughout both pilots, any person who is interested in what the future of mobility might look like can use this service for free!
Users will be able to request an AV at any of the predefined stops along the route by using the Shotl-app. The app will also let users define where they want to be dropped off. Additionally, users can always check where the next available pickup spot is whilst viewing the vehicle’s current location in real-time. This creates a unique user-experience which makes the usage of AVs even more user-friendly.
By taking part in this ambitious task, we want to create a dispatching system that connects users with AVs in real-time. By delivering a system that will aid both passengers and operators, we will be able to provide more accessible and efficient service. If you would like to test demand-responsive AV, stop by Helsinki or Gjesdal on any of the aforementioned dates to find out for yourself how this unique project is going.
27.05.19
As we often say, it is our mission here at Shotl to change the future of mobility. And, whilst it is always important to look straight ahead, we do occasionally like to review our current operations.
27.04.20
The COVID-19 virus pandemic has hit the world at a scale, pace and intensity like few events in living memory. In the course of merely a few weeks, countries across the world have almost ground to a halt, as governments attempt to fight the outbreak.
24.12.18
Our algorithmic solution matches multiple passengers, that are heading in the same direction, with a moving vehicle, minimizing ride distances and waiting time, thus offering a better transportation service and experience.