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FlowSync

Flowsync is a smart traffic solution that uses AI-driven variable speed limits and real-time navigation to reduce congestion, improve safety, and optimize traffic flow in urban areas.

  • An introduction to what our project is about

  • Demo of Flowsync app showing real-time speed updates, route suggestions, and traffic data.

    Demo of Flowsync app showing real-time speed updates, route suggestions, and traffic data.

  • Overview of Flowsync system, combining adaptive speed boards with real-time traffic app support.

  • Visual showing key traffic problems in Sharjah, which inspired the need for a smart VSL solution.

  • Occupancy-based speed control logic showing how AI adjusts limits to prevent traffic buildup.

  • Projected impact of Flowsync on travel time, emissions, and quality of life with rollout strategy.

What it does

Flowsync tackles urban traffic congestion by adjusting speed limits in real time based on road conditions and traffic flow. The app guides drivers with safer, faster routes, reducing delays, fuel use, and accidents through smart, responsive navigation.


Your inspiration

The idea stemmed from daily traffic frustrations experienced on routes between Sharjah and Dubai, where long delays and erratic stop-start driving are common. We noticed how static speed limits and poor traffic coordination worsened congestion and increased fuel waste. Inspired by adaptive systems and smart city innovations, we envisioned a dynamic solution that not only reacts to traffic in real time but also helps commuters make informed decisions. The goal was to create a practical, tech-driven tool to improve traffic flow, safety, and environmental impact for everyday drivers.


How it works

Our design uses a smart variable speed limit board system that adjusts speed limits based on real-time traffic conditions. Cameras and sensors on the boards collect data such as vehicle movement, congestion, and delays. This data is used to change speed limits dynamically, reducing stop-and-go traffic and helping cars move more smoothly. The system is paired with an app that displays current speed limits and suggests the best routes. The app also factors in live traffic updates to recommend faster, safer paths. Instead of static signs, digital boards or in-app alerts show the updated limits. By maintaining optimal traffic flow and reducing unnecessary stops, the system helps cut travel time, improve road safety, and lower fuel consumption.


Design process

The idea began with observing the constant traffic congestion on major roads in Sharjah and between Sharjah and Dubai. We identified a key issue: static speed limits don't adapt to changing road conditions, causing unnecessary slowdowns and stop-and-go traffic. From there, we researched existing adaptive traffic systems and decided to design a dynamic speed limit system tailored to local conditions. Our first concept was simple—a basic app showing speed limits and alternate routes. We then imagined integrating it with digital speed boards equipped with sensors and cameras to read real-time traffic data. Our initial prototype used simulated data to adjust speed limits in an app interface. After testing, we refined the logic to make the updates more responsive and accurate. We also redesigned the app interface to improve usability, adding features like route suggestions, traffic alerts, and real-time speed updates. Based on feedback, we ensured the app’s layout was intuitive and the information clear. Our latest version includes a stronger focus on syncing the app with smart speed boards, ensuring a smooth, informed driving experience from start to finish.


How it is different

What makes our design unique is the combination of a smart variable speed limit system with a user-friendly mobile app that works in real time. While some systems adjust traffic signals or provide route suggestions, ours focuses on dynamically changing speed limits using live data from sensors and cameras placed directly on speed boards. This ensures more responsive control over traffic flow. Unlike GPS apps that only suggest routes, our app also informs drivers of the current speed limits updated by the system. Additionally, we provide reasons behind suggested routes and rejected ones, giving users more transparency. The system is designed to be low-cost and adaptable to local infrastructure, making it feasible for cities like Sharjah. By merging adaptive speed control with live navigation in one solution, we offer a smarter, safer, and more sustainable approach to reducing congestion.


Future plans

Our next step is to build a working prototype using real-time traffic data and basic hardware simulations for the smart speed boards. We plan to test the system in a small, controlled area to analyze its impact. On the business side, we aim to partner with local transport authorities to explore integration with existing infrastructure. In the future, we hope to scale the system for wider urban use, improve its AI for better predictions, and expand app features. Ultimately, we want Flowsync to become a reliable, city-wide traffic management tool that enhances road safety, reduces travel time, and supports sustainable transportation.


Awards

Our invention won first place in the Traffic Congestion Competition held at the American University of Sharjah (AUS). The recognition highlights the innovation and real-world potential of our solution in tackling urban traffic issues effectively.


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