As a high school senior I have the task of coming up with a way to reorganize my school’s parking lot in order to make the traffic flow more efficient.

Here is a picture of the parking lot with labels. From 7:00am to 7:50am there is a high surge of traffic which flows through aisles 4, 5, 6, and 7. Using something like NEAT (any other ideas?), I would give a neural net the control of opening/closing gates 1-7, gates X and Y, as well as the exact times that the crossing guards allow traffic to pass. Using these variables I’m trying to let an AI improve the rate of traffic flow. Although I’m not too familiar with Tensorflow, that’s what I’m using. Should I implement a neural net with Keras, or something else, and maybe use a totally different method too?

I appreciate any help.