main.js

const carCanvas = document.getElementById("carCanvas");
carCanvas.width = 200;

const networkCanvas = document.getElementById("networkCanvas");
networkCanvas.width = 600;

const carCtx = carCanvas.getContext("2d");
const networkCtx = networkCanvas.getContext("2d");

const road = new Road(carCanvas.width / 2, carCanvas.width * 0.9);

const N = 1;
const cars = generateCars(N);
let bestCar = cars[0];
if (localStorage.getItem("bestBrain")) {
    bestCar.brain = JSON.parse(localStorage.getItem("bestBrain"));
    for (let i = 1; i < cars.length; i++) {
        cars[i].brain = JSON.parse(localStorage.getItem("bestBrain"));
        NeuralNetwork.mutate(cars[i].brain, 0.1);
    }
}

const traffic = [
    new Car(road.getLaneCenter(1), -100, 30, 50, "DUMMY", 2),
    new Car(road.getLaneCenter(0), -300, 30, 50, "DUMMY", 2),
    new Car(road.getLaneCenter(2), -300, 30, 50, "DUMMY", 2),
    new Car(road.getLaneCenter(0), -500, 30, 50, "DUMMY", 2),
    new Car(road.getLaneCenter(1), -500, 30, 50, "DUMMY", 2),
    new Car(road.getLaneCenter(1), -700, 30, 50, "DUMMY", 2),
    new Car(road.getLaneCenter(2), -700, 30, 50, "DUMMY", 2),
];

animate();

function save() {
    localStorage.setItem("bestBrain", JSON.stringify(bestCar.brain));
}

function discard() {
    localStorage.removeItem("bestBrain");
}

function generateCars(N) {
    const cars = [];
    for (let i = 1; i <= N; i++) {
        cars.push(new Car(road.getLaneCenter(1), 100, 30, 50, "AI"));
    }
    return cars;
}

function animate(time) {
    for (let i = 0; i < traffic.length; i++) {
        traffic[i].update(road.borders, []);
    }
    for (let i = 0; i < cars.length; i++) {
        cars[i].update(road.borders, traffic);
        if (cars[i].y < bestCar.y) bestCar = cars[i];
    }

    carCanvas.height = window.innerHeight;
    networkCanvas.height = window.innerHeight;

    carCtx.save();
    carCtx.translate(0, -bestCar.y + carCanvas.height * 0.7);

    road.draw(carCtx);
    for (let i = 0; i < traffic.length; i++) {
        traffic[i].draw(carCtx, "red");
    }
    bestCar.draw(carCtx, "blue", true);
    carCtx.globalAlpha = 0.2;
    for (let i = 0; i < cars.length; i++) {
        cars[i].draw(carCtx, "blue");
    }
    carCtx.globalAlpha = 1;

    carCtx.restore();

    networkCtx.lineDashOffset = -time / 50;
    Visualizer.drawNetwork(networkCtx, bestCar.brain);
    requestAnimationFrame(animate);
}