I-34-Hajj Traffic Analyzer

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  after optimisation

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  before optimisation

Inspiration

• the problem about congestion in Hajj and Crowding like in the day of Arafat

What it does

The algorithm is managing traffic light (using a camera sensor )

How we built it

we have used Tensorflow API and Anylogic For Data analytics and simulation

Challenges we ran into

To adapt the application to work in the real-life conditions (lack of equipment and the constraint of paying services that must be used)

Accomplishments that we're proud of

• detected object (cars) and get data from Tenserflow API
• simulate a reality of one traffic problem on the simulator Anylogic and use an example of data analytics
• optimization can reach up to more than 12 minutes for vehicles in each intersection

What we learned

how to retrieve data from the camera then apply to data analytics to take a decision

What's next for I-34-Manage Traffic in an exceptional period of the Hajj

deploy our solution in real life condition in order to improve its accuracy and its reactivity

Built With

• anylogic
• data-analytics
• opencv
• tenseser-flow