The car artificial intelligence system was the most complex system implemented in this game. It needed to detect the player, pedestrians, other cars, and different intersections that required the car to stop, all while maneuvering through the city. With these requirements in mind, the car can honk at the player when the player is in front of it, but only if the player is on the road or crossing pedestrian intersections at red lights. With all these features already mentioned the objective of the car was to be as realistic as possible, and this car makes use of indicator lights as well as brake lights. Some of the code for this system is provided below.

The pedestrian artificial intelligence system was much simpler to implement. It only needs to traverse through the city by selecting random points around it, all while avoiding other pedestrians and cars. Besides traveling they were required to follow safe walking behavior and for this, they needed to interact with the world around them, stopping lights and all the other intersections in the game.

The database used in this game is made using the firebase API for unity, the data collected was divided by school grade and sex, in order to analyze the data on different factors. The use of this API, was to measure the in-game performance of the players, in other words, we wanted to see if this tool was helping players improve their walking behavior without forcing or altering the knowledge that they had prior to playing this tool. Some of the code for this implementation is provided below.

The player controller is the system in charge of moving the player around this simulated world. The controller works by making use of the gyroscope sensor, on the phone to keep track of where the player is looking relative to our game, and the movement depends on where the player is looking at. When using google cardboard only has one button, which essentially presses the screen when used, with this in mind whenever the player holds the button the player will move in the direction they are looking at.

This game makes use of the Google cardboard SDK, this game's main objective was to simulate a real-world that players could use to learn safe walking behavior from the comfort of their homes, and google cardboard being a relatively accessible product, we decided to make use of its SDK for this project. An example is shown below of how it looks on a Samsung Galaxy S10e.