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Front Page
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Main Page
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Route Path
Inspiration
We got chased by a homeless man when we were walking to Taco Bell which made us want to avoid dangerous areas, however Google and Apple Maps don't have helpful support for any mode of transportation that isn't automotive. We wanted to support safe eco-friendly transportation methods like biking, walking, and skateboarding by addressing two major barriers: fear of safety and lack of convenience. The idea was to make sustainable travel not only possible, but practical and safe for everyone.
What it does
Pedal reroutes users to safer, more convenient paths by combining crime data and bike lane information. It avoids areas with high crime density while guiding travelers onto routes with bike lanes when available.
How we built it
We found public UCR crime datasets. We used the geolocation to plot a density map of the crime helping us identify unsafe areas. We then used a custom made crime scaling algorithm to provide an average crime intensity value of area. We used OpenStreetMaps to parse intersections and roads to grade the bike ability of roads based off the type of bike lanes. We applied this into a low cost algorithm modeled from Dijkstra and Astra. The custom low cost algorithm was based on types of crime, density, bike ability of roads and distance.
Challenges we ran into
- Finding datasets that have geolocated crime information.
- Handling large datasets of crime incidents across different cities.
- Integrating multiple data sources (crime data + OpenStreetMap).
- Building a routing algorithm that balances both safety and convenience without making routes too long.
Accomplishments that we're proud of
- Created an in-house routing algorithm that can scale worldwide.
- Successfully built a routing system that prioritizes both safety and eco-friendly transport.
- Created a working model that integrates crime data and bike lane availability into a single solution.
- Designed a project that encourages more people to use low-carbon transportation.
What we learned
We learned how to handle and visualize real-world geospatial data, integrate APIs, and design algorithms that solve real community problems. We also realized the importance of balancing usability with social impact.
What's next for Pedal
We plan on using our own real-time data gathered through our users and integrate it into our routing algorithm. .We plan to expand Pedal to more cities, improve the accuracy of our safety maps, and integrate real-time data sources. In the future, we want Pedal to become a go-to app for anyone choosing safer, greener, and healthier ways to move around.
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