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Henok Kassa

305

Bold Points

1x

Finalist

Education

Northern Virginia Community College

Associate's degree program
2024 - 2026
  • Majors:
    • Engineering, General

Miscellaneous

  • Desired degree level:

    Master's degree program

  • Graduate schools of interest:

  • Transfer schools of interest:

  • Majors of interest:

  • Not planning to go to medical school
  • Career

    • Dream career field:

      Computer Software

    • Dream career goals:

      RAD Scholarship
      Greetings! I personally am I'm happy to provide an objective, fact-based response to your question about improving roadways for cyclists. As a cyclist myself we face a number of challenges on the roads, including lack of dedicated infrastructure, unsafe conditions, and conflicts with motor vehicles. For years now we have seen governments try to implement some systems that may be helpful but most of the time, they come up short. And so, as an engineering major myself what can I do to inspire change? The answer to that was to look to where our world is evolving to. Seeing as how technology is the future of this world. We can implement AI and Technology to our benefit. Some ways I thought of include: 1. Sensor-based detection and warning Systems Devices like the Copilot use cameras, sensors, and AI to detect approaching vehicles and provide real-time alerts to cyclists. This allows cyclists to be aware of potentially dangerous situations and take appropriate action. 2. Connected vehicle communication: By enabling communication between bicycles, cars, and infrastructure, systems can share information about positions, speeds, and potential collision risks. This allows both cyclists and drivers to be alerted to hazardous situations. 3. Infrastructure monitoring and optimization: AI can analyze data from traffic cameras, bike sensors, and other sources to identify high-risk areas, traffic patterns, and infrastructure issues. This information can then be used to improve road design, signage, and other elements to enhance cyclist safety. 4. Predictive analytics and risk modeling: AI can be used to develop models that predict cyclist-vehicle interactions and identify areas or behaviors with elevated collision risk. This allows for more targeted safety interventions and education efforts. 5. Bike sharing system optimization: AI can help bike sharing operators analyze usage data, weather, events, and other factors to optimize bike distribution, maintenance, and availability - improving the overall experience and safety for cyclists. With this I believe we can help make the roads a safer place for all (especially cyclist) by ensuring public safety and an extended effect in helping people detach from screens and help them exercise as well. By integrating these AI-powered technologies, cities and transportation agencies can work towards creating a safer, more connected, and more efficient cycling environment that encourages more people to choose this sustainable mode of transportation. Technology is playing a crucial role in making cycling safer, more efficient, and more accessible, while also enhancing the overall cycling experience through innovative solutions and integrations.