ITC Smart Cities Hackathon 2023
- Noa Sela
- Reem Cohen
- Shlomo Z
- Maxim Shatzki
- Eliott Caen
- Maya Halevy
In today's navigation systems, drivers are typically provided with the quickest route from point A to point B. However, the fastest route might not always be the safest. With RoadWare, we offer a solution that prioritizes safety by providing the driver with options that highlight the level of danger in different route segments.
RoadWare integrates seamlessly with the Google Maps API. When queried, our application offers users two distinct route suggestions, each highlighted with danger levels: low, medium, or high. These danger levels stem from our machine learning model that factors in the density of car accidents in a given area, normalized by the traffic flow.
🎥 Demo Video: RoadWare in Action
Note: As this project was developed during a 2-day hackathon, we present a minimum viable product (MVP) in the demo.
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Expansion to Other Cities: Our current model is tailored for New York due to the data we used. We believe RoadWare can be beneficial in any city, provided the requisite data is obtainable.
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Integration with Popular Navigation Apps: We envision RoadWare as a valuable addition to popular platforms like Google Maps or Waze.
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Enhanced Features: In future iterations, we plan to:
- Consider parameters like vehicle type, time of day, and day of the week.
- Notify users about predominant dangers in their vicinity, such as areas with frequent pedestrian movement, large truck traffic, or prevalent motorcyclists.