What if we could fight the terrible traffic we all have to encounter during rush hour? What if there was a better way to move and travel that can make our time more efficient?
Traffic is an issue that has been impacting society for a long time now. Rush hour is a part of the day during which traffic congestion on roads and crowding on public transport is at its highest. Rush hour is a phenomenon that usually happens twice a day – once in the morning and once in the evening, the times during which people commute the most. We propose a solution to the problem of Rush Hour by suggesting the most time-efficient route for the user to take between two locations.
Artificial intelligent agents in the direct control class usually focus on managing estimation of traffic in a particular road network for controlling traffic lights, analyzing the traffic demand for a particular route, and on qualitative predictions of route demands (rush hour) and bottlenecks that could form. On the other hand, the indirect control class agents usually focus on climate predictions and using the direct control agents information to alert the drivers.