ÖV42: AI-powered Green Mobility

The 1st Ecosystem Start-Up of 42hacks saving tons of CO2
together with a strong Alliance

Public Transport and Green Mobility as THE secret Climate Champion

27x less CO2 emissions
per passenger-km

A train journey releases 27x less CO2 than a comparable journey in a regular car per passenger kilometre. The environmental impact of trains with two floors is even better.

Source: BAFU, Avenir Suisse, SBB

Bildschirmfoto 2023-01-23 um 17.49.26.png

Our Approach
Our Artificial Intelligence to power smart mobility

Historical and real-time mobility data is analysed by our artificial intelligence (AI) and gives us insight into:

Traffic relationships between multiple points down to 1 km2 accuracy Peak times and traffic volumes.
Travel time comparison between car and public transport
The CO2 emissions of the mobility volume of a region or municipality
Optimisation potentials, e.g. for timetable density or first and last mile

Our Goal
Decrease Modal Split of Motorised Individual Vehicles and save tons of CO2 by harnessing the power of AI

Despite a modern public transport network in Switzerland, the car is still as popular as it was more than a decade ago. But it is precisely this shift towards green mobility options, particularly public transportation, that would significantly reduce CO2 emissions. Over 40% of CO2 emissions come from mobility, largely from private motorised transport, i.e. driving a car.

So we asked ourselves:
What if we could double the percentage of public transport in total traffic?And more importantly, how can we achieve this?

Anker Approach

Our Approach
Agile Experiments for Behavioural Change

We apply radical co-creation and invite different stakeholders to develop and
test mobility solutions with us.

More needs-based offers should contribute to, sustainably influence people's behaviour towards a more climate-friendly choice of means of transport.