Empowering 🚴‍♀️ in fighting for their own safety through AI
Hotspot Map
Bikeable
Perception Poll

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

  • 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

Partners

Media