Inspiration: 42% of Montreal's greenhouse gas emissions are due to motor vehicles, and traffic plays a big role in this. In order to help reduce the amount of congestion in metropolitan areas, our project simulates the flow of traffic under variable conditions.
What it does: We employ a probabilistic model to determine the path that each vehicle will take at a certain point in time. It is more likely to take a road that is free of congestion. Furthermore, city centers and bridges have higher probabilities, as vehicles are more likely to travel on these roads. The vehicle will disappear from the simulation once it reaches its destination, at which point another vehicle will enter. The current time is displayed, along with the max number of cars and the max delay on any given road. The user can vary the number of vehicles in the grid, the speed of the simulation, and can shut off roads.
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