bikeability factors Computer Vision Project

Here are a few use cases for this project:

1. Smart City Parking Management: This computer vision model can be utilized by city planners and traffic management systems to identify available parking spaces, monitor illegal parking, and optimize parking utilization in urban areas.

2. Road Maintenance and Safety: By identifying cars, motorbikes, and obstacles such as potholes and debris, the bikeability factors model can contribute to road maintenance prioritization and improve overall road safety for both drivers and cyclists.

3. Traffic Flow Optimization: Combining real-time data analysis with the bikeability factors model could help traffic control centers regulate traffic flow based on the current state of lanes, vehicles, and obstacles, resulting in reduced congestion.

4. Cyclist Navigation and Safety: A mobile application can integrate the bikeability factors model to suggest safe cycling routes for urban bikers, avoiding streets with major obstacles and heavy vehicle presence, and suggesting bike-friendly alternatives.

5. Accident Analysis and Reporting: Insurance companies and traffic authorities could employ the bikeability factors model to assess the root cause of accidents, identify potential hazards, and implement preventative measures to minimize future incidents involving vehicles and cyclists.