CycleAI

Description

CycleAI is enhancing urban planning and policies towards road safety in a more analytical, cost-efficient way.

Perception of risk impedes people from cycling. Based on our crowdsourcing models, we aim to build an automatized AI tool to estimate a score of perceived safety. Therefore, a road safety map for bycicle users will be affordably created for entire cities.

We are trying to empower cyclists in fighting for their own safety. It is all about community values; let's make our home a safer, greener, cleaner place. Feel free to participate and jump onboard this adventure. Next steps will be further announced.

Thank you!

Numbers

Goal: 100

Hotspots

Goal: 500

Hotspots Votes

Goal: 5,000

Poll Voters

Goal: 100,000

Poll Votes

Timeline

May 2020

Miguel Peliteiro

Miguel Peliteiro, a tech-savyy MD, is run over by a car while cycling on a bike path. Critically injured, induced coma, 5 surgeries, 4-month hospital stay. Currently thriving to start medical practice.
August 2020

Luís Rita

Luís Rita, a skillful data scientist and daily bike user, develops Become a Better Cyclist with Deep Learning at Imperial College London. Currently working on his PhD there. Top Talent Under 25 in the meanwhile.
October 2020

Foundation

The two linked, brainstormed and decided to take action. Ended up drafting this ambitious project. CycleAI is born.
November 2020

Winners of European Cyclists' Federation Hackathon

CycleAI is the winner of the European Cyclists' Federation Hackathon. And has now chances of being featured in the United Nations website and selected as one of the most innovative projects. Pitching in the world’s biggest cycling conference: Velo-City 2021 Lisbon.
November 2020

Codrin Bostan

CycleAI has a new member. Known for its entrepreneurial projects and a singular mind in Machine Learning and Web Development, Codrin Bostan embarks on this adventure.
December 2020

Winners of BET/AWS University Challenge

With the technical support from Amazon and a prize money to accelerate the project, we now have the tools to present the first results.
December 2020

Winners of AML/BGI Lisbon Challenge

With Building Global Innovators and Área Metropolitana de Lisboa, we will implement our project in the capital. Its urban area comprises 3M people out of the 11M in Portugal.
December 2020

Stamatios Kourkoutas

Finished a MSc in Computing from Imperial College London, now embarks in CycleAI as our Software Developer and responsible for the Machine Learning component.
January 2021

Crowdsources

Hotspot Map and Perception Poll crowdsources released. Started generating data required by our safety calculator to train and validate its performance.
April 2021

Gonçalo Moreno

Graduate from the University of Porto. Responsible for developing the first autonomous driving software for two wheel vehicles.
April 2021

Winners of Building the Future Hackathon

With the support from Microsoft, we deployed our novel code in Azure to help building the future of Electric Mobility at the Hackathon.
April 2021

Francisco Pereira

The youngest from the team. With a background in Electrical and Computer Engineering he will guide us taking the next steps through his data analysis skills.
June 2021

Bikeable

For the first time, our perception calculator of cyclists’ risk - Bikeable - will be presented in the XVII Iberian Congress “Bicycle and City”.

Timeline

October 2020

Foundation

Luís and Miguel linked, brainstormed and decided to take action. Ended up drafting this ambitious project. CycleAI is born.
January 2021

Crowdsources

Hotspot Map and Perception Poll crowdsources released. Started generating data required by our safety calculator to train and validate its performance.
April 2021

Bikeable

For the first time, our perception calculator of cyclists’ risk - Bikeable - will be presented in the XVII Iberian Congress “Bicycle and City”.

Team

Luís Rita

Data Scientist (Co-Founder)

Miguel Sampaio Peliteiro

Medical Doctor (Co-Founder)

Tudor Codrin Bostan

Web Developer

Gonçalo Moreno

Machine Learning Engineer

Francisco Pereira

Data Analyst

Description

Numbers